- Nova School of Business and Economics
Transcription
- Nova School of Business and Economics
MASTERS IN FINANCE EQUITY RESEARCH PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT TELECOM 06 JANUARY 2014 STUDENT: MICHAEL TANJUNG michael.tanjung.2012@novasbe.pt Recommendation: BUY Price Target FY11: 2,550 IDR recommendation and a price target of 2,550 IDR, offering an Price (as of 29-Jan-14) 2,125 IDR upside potential of 20%. The stock currently trades at a P/E ratio of Reuters: TLKM.JK, Bloomberg: TLKM IJ Challenging Year Ahead …yet to be conquered We initiate coverage of Telkom with BUY 14.15 – a 30% discount to the telecommunication sector. Risk factors. Firstly, we foresee XL-AXIS merger and 52-week range (IDR) 1,751-2,566 IDR Market Cap (trillion IDR) 214.2 Outstanding Shares (B) 100.8 acquisition to be the game changer for the Indonesian cellular market. Free float (B) Ultimately, by retaining Axis’ spectrum, XL’s network bandwidth is now Source: Bloomberg 49.2 on par with Telkomsel. Secondly, inevitable pricing compression caused by fierce competition in the cellular market would eventually result in Telkomsel lower margin. Segments development. We expect the continuingly fixed-to- mobile substitution effect to further penalize fixed-line voice sector. As for the fixed-broadband segment, rapidly growing middle class population, rising household consumption and incremental number of new enterprises created every year would provide a solid platform for robust growth. Mobile broadband will be the new growth engine Source: Bloomberg fuelled by Indonesian (Values in Rp billions) 2012A 2013E 2014F Revenues 77,143 83,145 89,027 EBITDA 39,757 42,987 45,742 Net Profit 12,850 14,172 15,137 EPS 127 141 150 EV/Sales 3.4 3.1 2.9 Telkomsel’s persistently strong cash flow derived from its large EV/EBITDA 6.2 5.8 5.5 business scale and superior operational efficiency will enable the EV/Subscribers 1.7 1.7 1.7 Net (Debt)Cash/EV -1.6% 0.6% -0.1% ROIC 30% 30% 28% young population, and growing urban population, which subsequently promotes higher penetration of advance telecommunication gadget such as smartphone and tablet. In spite of fierce competition in the cellular market, company to preserve its superior network quality and market share. Source: Analyst’s Estimates, Company Reports Company description Telkom is the largest and most integrated telecommunication service provider in Indonesia, providing fixed wireline, fixed wireless, cellular, data and Internet services to over 90% of Indonesian population. THIS REPORT WAS PREPARED BY MICHAEL TANJUNG, A MASTERS IN FINANCE STUDENT OF THE NOVA SCHOOL OF BUSINESS AND ECONOMICS, EXCLUSIVELY FOR ACADEMIC PURPOSES. THIS REPORT WAS SUPERVISED BY ROSÁRIO ANDRÉ WHO REVIEWED THE VALUATION METHODOLOGY AND THE FINANCIAL MODEL. (SEE DISCLOSURES AND DISCLAIMERS AT END OF DOCUMENT) See more information at WWW .NOVASBE.PT Page 1/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT Table of Content COMPANY OVERVIEW ............................................................................ 3 VALUATION METHODOLOGY................................................................. 4 MACROECONOMIC OUTLOOK ............................................................... 5 FIXED LINE BUSINESS ............................................................................ 6 FIXED-LINE VOICE – THE INEVITABLE DECLINE ..................................................... 6 FIXED WIRELESS ACCESS VOICE – THE END IS NEAR............................................. 8 FIXED BROADBAND – DECENT GROWTH POTENTIAL .............................................. 9 CELLULAR BUSINESS .......................................................................... 11 VOICE USAGE AND TARIFF .................................................................................. 16 SMS .................................................................................................................... 16 MOBILE BROADBAND “FLASH” – THE FUTURE GROWTH ENGINE ......................... 17 INTERCONNECTION .............................................................................................. 21 OPERATING COST MARGIN AND INVESTMENTS .............................. 21 FIXED BUSINESS MARGIN ................................................................................... 22 CELLULAR BUSINESS MARGIN ............................................................................ 23 FIXED LINE INVESTMENTS................................................................................... 24 CELLULAR INVESTMENTS .................................................................................... 24 FOREX RISKS ON INVESTMENTS ........................................................................ 25 CAPITAL STRUCTURE AND COST OF CAPITAL................................. 26 FINAL VALUATION CONSIDERATIONS ............................................... 27 APPENDIX I – FINANCIALS ................................................................... 28 APPENDIX II – ADDITIONAL SCENARIO ANALYSIS ........................... 29 APPENDIX III – INDONESIAN MOBILE OPERATORS .......................... 31 APPENDIX IV – BROADBAND TARIFF COMPARISON ........................ 31 APPENDIX V – SPECTRUM AND 3G BAND PLAN ............................... 32 APPENDIX VI – BTS FORECAST .......................................................... 33 APPENDIX VII – FOREX RISK ON INVESTMENTS ............................... 34 APPENDIX VII – COMPARABLES ......................................................... 34 DISCLOSURES AND DISCLAIMER.......................................................................... 35 RESEARCH RECOMMENDATIONS ....................................................................... 36 PAGE 2/36 PT. TELEKOMUNIKASI INDONESIA Graph 1 – 2012 Telkom Revenues Contribution by Segments COMPANY REPORT Company overview PT. Telekomunikasi Indonesia (Telkom) is the largest and most integrated telecommunication company (telco) in Indonesia. Telkom’s source of value creation is wholly derived from its domestic telecommunication businesses including fixed line and fixed wireless telephone connections, mobile cellular communications, network and interconnection services, and data communication services. Telkom still enjoys monopoly in the fixed line telephone segment; notwithstanding, we see an inevitable declining demand for fixed-based voice services due to continuing fixedto-mobile substitution effect. Telkom is currently a leading player in the fixed- Source: 2012 Annual Report broadband sector with 78% market share; fixed-broadband market has been growing significantly with rising middle class population; we see a tremendous 1 growth opportunity for the upcoming terms. Through its subsidiary, Telkomsel , Telkom provides cellular connectivity that covers more than 97% of the Indonesian population. Telkomsel has the largest subscribers’ base amounted to 44% market share in 2012; nevertheless, a recently merged XL-Axis (XL:IJ) would definitely challenge its dominance. As of December 2012, Telkomsel revenues contribution totalled to 71%. Still a State Owned Enterprise Telkom is a State-Owned Enterprise (SOE) as government owns more than 50% of Graph 2 – 2012 Shareholder Structure all shares outstanding. The remaining shares are listed on the Indonesia Stock Exchange, NYSE and LSE. Bank of New York Mello Corporation serves as the Depository of registered American Depository Shares (ADS) holders for the 2 Company’s ADSs . Table 1 below presents other top holders; Table 1 - Institutional Shareholders as of December 2013 Top 10 Holders Source: 2012 Annual Report Vanguard Group Inc Blackrock Fund Advisors JPM Invesco LTD Fidelity International Norges Bank Matthews International Capital Pictet Asset Management Ltd Grantham Mayo van Otterloo & Co SchroderInvestment Management Ltd Total % ownership 1.44% 0.85% 0.76% 0.65% 0.57% 0.56% 0.47% 0.46% 0.35% 0.32% 6.43% Source: Bloomberg 1 Telkom assumes control of Telkomsel with 65% ownership, the remaining 35% belonged to Singapore Telecom (ST:SP) As of September 30, 2013, 45,765,152 ADS shares were listed on the NYSE and LSE. Following the 1-for-5 stock split (approved on April 19, 2013), each ADS represented 200 common shares. 2 PAGE 3/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT Valuation Methodology We used a sum of parts (SOP) approach to arrive at the final equity value. Fixed and cellular business segments were valued separately using Discounted Cash Flow (DCF) model. Net debt/cash was derived by deducting excess cash (book value) from market value (MV) of debt. Obligations to employee and other non-equity items were obtained from their book value (BV). We have incorporated various scenarios that could impact our initial cash flow forecast, and the respective price target. The probability attributed to each scenario analysis is solely our view on current market situation. Subsequently, we have reached a price target of 2,547 IDR, implying an upside potential of 20%. Following table summarizes our valuation; Table 2 - Summary of Telkom Valuation Cellular business value Fixed business value Enterprise Value Net cash (debt) Obligations to employee Non-equity items Equity Value # Oustanding Shares (B) Price Target Current Price Implied Upside Potential Stake Method Base Case Scenarios p = 50% Best Case Scenarios p = 30% Indonesia Economy to Erode Further p = 20% 65% 100% DCF DCF - MV BV BV - 206,907 52,575 259,482 (167) (2,314) 480 257,481 100.8 2,554 2,125 20% 267,374 58,860 326,234 53 (2,314) 480 324,453 100.8 3,219 2,125 51% 121,627 36,204 157,831 (2,526) (2,314) 480 153,471 100.8 1,523 2,125 -28% Weighted Value 256,771 100.8 2,547 2,125 20% Unit: billion IDR, unless stated otherwise | Source: Analyst’s Estimates, Bloomberg, Company Reports PAGE 4/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT Macroeconomic Outlook Indonesian economy has been contracting recently; IMF revised GDP growth down to 5.3% in September 2013 from previously 6.3% in April 2013, but expecting slight recovery to happen in 2014. Table 3 – Indonesia GDP Forecast (Constant Price) GDP % growth 2008 2,082 6.0% 2009 2,179 4.6% 2010 2,314 6.2% 2011 2,465 6.5% 2012 2,618 6.2% 2013E 2,757 5.3% 2014F 2,908 5.5% 2015F 3,083 6.0% 2016F 3,268 6.0% 2017F 3,464 6.0% 2018F 3,672 6.0% Units: trillion IDR | Source: IMF 3 We are informed that the revision was triggered by recently high inflation that forced Bank Indonesia (BI) to continuingly raising interest rate, which in turn had slowed the overall economy growth due to higher borrowing cost (reduces economic activity) and higher saving rate (reduces consumption as people tend to save instead). 4 Furthermore, BI rate is expected to be escalating further until the inflation rate ease back to the target level of 4%-5%, which means growth would continue being penalized in 2014, at the very least. Graph 4 – Indonesia GDP Growth YoY Source: Badan Pusat Statistik Indonesia Graph 5 – Indonesia Domestic Interest Rate and Inflation Source: Bank Indonesia (BI) Other various macroeconomic and demographic indicators will certainly steer our cash flow forecast; nevertheless, their relevance may differ per business segment, as such we will cover them specifically and separately for each business segment. 3 As seen in graph 5, Indonesian inflation rate has been very volatile which was mostly caused by large amount of government subsidy on basic needs like food, fuel and electricity. Early this year government reduced subsidy on fuel and let the price of gasoline and diesel inflated by 44% and 22% respectively (to 6,500 IDR and 5,500 IDR per litre); this had directly and swiftly caused a huge jump in inflation rate, as basic needs such as transportation, for instance, became more expensive and led to higher end-products or services (due to higher logistic costs). World Bank estimates that raw and core inflation would rise approximately by 300bps and 100 bps respectively when fuel prices increased by 2,000 IDR. 4 We are also informed that Indonesia’s large current account deficit has caused loss of confidence from foreign investors who started pulling their money out of the country in anticipation of the approaching FED tapering. Besides to control inflation, higher interest rate is also perceived as an incentive for foreign funds to remain intact. Additionally, Rupiah would remain vulnerable as account deficit has showed no meaningful improvement lately, and thus high inflation would likely to persist longer; we see this as a downside risk to our initial earnings estimates; we discuss this further under Appendix II - Additional Scenario Analysis. PAGE 5/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT Fixed Line Business Graph 6 – Total Minutes Productions from Fixed-Line Voice (LHS) Vs. Cellular Voice (RHS) Services Fixed-line Voice – the inevitable decline Telkom fixed-line telephone service is no other than the plain old telephone service. This fixed-line telephone service includes local, direct long-distance (DLD) and international call service. Telkom still enjoys monopoly in this segment with 99% market share; because of an inevitable decline of the sector growth and subsequently low potential of value creation, fixed-line telephone segment seems to attract no new entrants. For the last 5 years, this sector has suffered from fixed-tomobile substitution effect. The overall decreased in total minutes production implies that minutes production per lines in service (LIS) 5 has decreased by roughly 1,700 minutes in 2008 to only 755 minutes in 2012. As seen in table 4, fixed-line voice Units: billion minutes | Source: Company reports revenue contribution has shrunk considerably; Table 4 – Telkom Fixed-line Voice Subscribers and Revenues Evolution Lines in service (millions lines) Fixed-line voice revenues growth 6 Voice ARPU (thousand IDR) 2007 A 8.7 18,021 173 2008 A 8.6 15,878 -12% 152 2009 A 8.4 10,289 -35% 102 2010 A 8.3 9,453 -8% 95 2011 A 8.6 9,833 4% 95 2012 A 9.0 8,818 -10% 81 2013 E 9.4 9,016 2% 79 5y-CAGR 2% -11% -12% Units (revenues): billion IDR | Source: Company Reports Note that ARPU includes fixed monthly subscription charges and usage charges, which the latter contributes disproportionately larger. Persistently declining ARPU is 7 in fact a result of lower usage per LIS, conversely the implied price per minute has actually increased from 1,119 IDR in 2008 to 1,297 IDR in 2012. At this rate, fixed Graph 7 – 2012 Fixed-line Voice Penetration Rates per 100 Households (Average: 33) voice service is actually charging much higher than cellular voice service (of only 8 166 IDR per minute), adding another reason why people tend to use their cellphones nowadays. Despite the substitution effect aforementioned, we believe that low penetration rate in the fixed-line telephone sector (refer to graph 7) would still provide little room for growth, and that the essentialness of basic telephony would drive penetration higher in the future. In fact, we see a slight pickup in LIS in 2011 after the cellular penetration rate surpassed 100% mark in late 2010, whilst utilization rate has been rising from 78% to 81% and 82% in 2012 and 2013 respectively (refer to graph 8). Units: # households | Source: ITU, Analyst’s Estimates 5 We refer subscribers in the fixed-line telephone sector as LIS Average revenue per user (ARPU) is calculated based on total voice revenues per month divided by total LIS 7 Price per minute is calculated by dividing voice revenues by total minutes production 8 This amount is calculated based on 2012 cellular voice revenues and total cellular minutes production (including free minutes). Lower price per minute seen in cellular voice services is due to excessive promotions (free calls) caused by intense competition in the mobile market. We discuss further under Cellular Business section. 6 PAGE 6/36 PT. TELEKOMUNIKASI INDONESIA Graph 8 – Number of Lines in Service, Installed Lines (LHS) and Utilization Rate (RHS) COMPANY REPORT Since the fixed-line telephone penetration is still concentrated in big cities and urban 9 area , we assume that Telkom would continue adding new lines with intention to drive penetration in the sub-urban or rural area higher. Nevertheless, we foresee the additional lines to grow at a slower pace than 3% CAGR verified from 2004-2013, 10 with priority set to utilize lines back to 90% level . Provided the expected additional installed lines for the upcoming terms, we could then infer the incremental LIS by estimating utilization rate in the future of which is to converge towards 90% rate. The following table presents our forecast summary for the next 5 years; Units: million lines | Source: Company Reports, Analyst’s’ Estimates Table 5 – Fixed-line Telephone Forecast Installed lines Lines in service Utilization rate 2012A 11,109 9,034 81% 2013 E 11,498 9,474 82% 2014 F 11,555 9,712 84% 2015 F 11,613 9,956 86% 2016 F 11,671 10,206 87% 2017 F 11,810 10,534 89% 2018 F 11,956 10,808 90% CAGR 1% 3% Source: Company reports, Analysts’ estimates | Units: thousand lines 11 Our estimation implies a growing subscribers’ base (LIS) at CAGR of 3% , still lower than 4.5% CAGR yielded during 2010-2013. In what regards the ARPU, we expect the downtrend would continue in near 12 future as we are still convinced that the fixed-line usage will decline further due to voice-to-data substitution effect. Over the top VoIP application such as Skype has become more popular and been used globally, not only for home-personal use, but also professionally, such as on-line meeting, job interview and university admission Graph 9 – Voice ARPU Forecast interview. Moreover, currently low penetration in the broadband sector coupled with substantial growth potential would surely negatively affect Telkom legacy business including local, DLD and international call services; as such we believe that the fixedline usage would still plummet in the foreseeable future. As for the longer run, we presume the fixed-mobile/voicedata substitution effect to start lessening, and the respective usage per LIS to find the equilibrium and stop declining; and 13 Units: trillion IDR and thousand IDR (ARPU) | Source: Analyst’s estimates therefore ARPU would rise due to a higher unit price . 9 Yet we could not infer precisely how many cities are currently covered by Telkom and which cities are still to be covered, as the information in that regards is not disclosed. 10 Telkom has indicated that CAPEX related to fixed-line business would be mostly allocated to the fixed-broadband network development, thus it would be reasonable to assume slower expansion in the fixed-line telephone. 11 At this rate, we implicitly expect fixed-line telephone penetration rate to reach 33% mark (or equal to current APAC average) in the next 20 years. 12 We are still convinced that fixed-line usage would still decline in near future due to voice-data substitution (we discuss this issue in greater detail under Cellular Business section). 13 Bear in mind that ARPU is a function of usage (minutes production/user) and unit prices (price per minute). Though usage is presumed to be constant over time, a rising unit price would still result in higher ARPU. PAGE 7/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT Fixed Wireless Access Voice – the end is near Graph 11 – Indonesia FWA Subscribers’ Base Trend Telkom’s fixed wireless access (FWA) voice service is managed by the Wireless Broadband Division under the trademarks “Telkom Flexi” or “Flexi” and uses CDMAbase network technology. As of December 2012, Flexi and Esia 14 are the main operators in the sector with the subscribers’ base totalled to more than 97% market share when combined, see graph 10. Graph 10 – FWA Telephone Market Share Evolution over the Last 7 Years As also seen in the fixed-line telephone, threat of Units: million users | Source: ITU, Analyst’s estimates substitute is even greater in the FWA voice sector. New tariff regulation 15 has turned the differences between FWA and GSM mobile cellular tariff Graph 12 – 2013 Flexi Subscribers Base Contraction immaterial. Moreover, the ever-fiercer competition in the GSM cellular market has provoked lower tariff 16 charged by the GSM-based operators . Apparently with similar cost of usage, customers would rather have GSM-based mobile phone as it provides more Source: Company reports, Analysts’ estimates features and richer application experiences. Altogether these circumstances promote migration to a full mobile GSM service. As seen in graph 11, the FWA voice market has finally taken a massive hit this year after peaked earlier in 2010; the overall subscribers’ base plummeted by more than 40%. Units: million users | Source: Telkom Q3 2013 info memo Flexi has suffered the worst from pricing compression, as it has been giving excessive promotions 17 in order to maintain its subscribers’ base size, see graph 14 and 10; Esia on Graph 13 – Flexi Revenues Contribution Graph 14 – ARPU Trend of Flexi and Esia the other side has kept ARPU above 20 thousand IDR, yet lost more than 20% of subscribers in 2012 alone. Flexi’s revenue contribution has shrunk remarkably since 2009; and we estimate its revenues to be just under 1,000 billion IDR for FY13 following the 9M-2013 results released. In that same period, Flexi lost more than 30% of its subscribers, refer to graph 12. Units: thousand IDR | Source: Company reports Units: billion IDR | Source: Company reports, Analysts’ estimates 14 Esia is another FWA voice services provider operated by Bakrie Telecom (BTEL) The government altered the regulation relating to the calculation of right-of-use tariff in December 2010, resulting in a significantly smaller gap between GSM and CDMA tariff. 16 As of December 2013, average price of voice service charged by FWA provider is 1,666 IDR per minute, which is very close to GSM-based operators’ average tariff per minute of less than 1,799 IDR. Price already includes interconnection cost. Source: Operators’ website. 17 Free minutes derived from promotions surely put pressure on ARPU, as unit price decreases while usage is not necessarily increased. 15 PAGE 8/36 PT. TELEKOMUNIKASI INDONESIA Graph 15 – Flexi Subscribers and ARPU Forecast COMPANY REPORT According to the CFO, Mr Honesti Basyir, Telkom intends to gradually withdraw FWA voice services over the next two or three years. We see this as an appropriate move by the management; as spectrum becomes a scarce national resource, 10 MHz spectrum blocks on 850 MHz 18 frequency used by Flexi can be returned and 19 re-used by Telkomsel to provide a lower-end and cheaper data service . To conclude, we forecast Flexi’s subscriber to continue declining sharply for the next 2-3 years, afterwards the service is presumed terminated. ARPU is expected to rise as we assume Flexi would start reducing promotions (free calls), and thus unit price would eventually converge to market price. Units: million users (Subs.) and thousand IDR (ARPU) | Source: Company Reports, Analyst’s Estimates Fixed Broadband – decent growth potential Telkom provides fixed-line based broadband internet access using ADSL and fiber optic technology under the brand “Speedy”. Fixed broadband is still perceived as a Graph 16 – 2012 Asia Pacific GDP per Capita PPP constant US$ premium need in Indonesia, and rather explains low broadband penetration in the country that has Graph 17 – Fixed Broadband Penetration per 100 Households lower GDP per capita than most of its Asia Pacific (APAC) peers. Looking further into the penetration rate, we are left with more questions; as seen in graph 16 and 17 consecutively, Vietnam, India, and Phillipines has higher broadband penetration rate than Indonesia despite their lower production per capita. What might be the setback for Source: World Bank Indonesia, besides its rather challenging geography condition? Following is our best guess; Graph 18 – Speedy Market Share Evolution Units: # households | Source: ITU, Analyst’s estimates Indonesian customers have fewer fixed-broadband service choices and incur higher prices as the fixed-broadband sector is lack of operators and therefore experiences less efficient competition; in fact, Speedy holds 78% market share in Indonesia (as per December 2012). Unit price for 1 Megabit per second (Mbps) is comparatively much higher in Indonesia, yet the average speed of fixed-broadband internet connection is not truly superior to the available connection speed provided by the 20 mobile broadband services, of which is accessible with a lower cost, see graph 19 . Thus, it is no surprise that fixed-broadband penetration is rather limited in Indonesia. Source: ITU, Company Reports 18 CDMA-base operators currently use 850 MHz frequency band to provide voice and data services, whilst GSM-3G use 2,100 MHz frequency. 19 Spectrum license for providing telecommunication services through 850 MHz frequency is priced much cheaper than the 2,100 MHz used for 3G, the associate radio usage charges are also lower, thus allowing Telkomsel to provide cheaper dataservice for the lower-end market. This way Telkomsel would have more flexibility to maintain its premium services and prices without putting more pressure on its operating margin. If executed rightfully, Telkom would be able to create additional value in the long run through its more efficient spectrum management. 20 The data presented is the actual speed. In practice, operators claim 7.2 Mbps for their 3G connection download speed. Moreover, the average mobile broadband cost per Mbps is lower than 5 US$. Notwithstanding, fixed broadband still has an advantage of higher capacity of usage and a more reliable internet connection. See appendix IV for tariff comparison. PAGE 9/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT Table 6 - 2013 Fixed Broadband Comparison Matrix 21 # Operators Cost per Mbps (US$)22 Cost of Broadband (US$) As % GDP/capita Household Download Index (Mbps)23 Vietnam 6 13.72 13.18 India 9 11.00 19.49 23% 4.22 Indonesia 3 25.72 42.50 22.7% 3.36 Thailand 20 2.48 30.25 8.98% 12.96 China 5 2.25 27.03 9.93% 15.99 APAC 9.29 17.23 Europe 3.60 22.11 Source: ITU, Ookla, Companies’ Websites Graph 19 –Indonesia Broadband Speed Comparison Despite the aforementioned hindrance, we believe that Graph 20 –Fixed Broadband Subscriptions in Indonesia low penetration rate would still provide decent growth opportunity for Telkom Speedy in the future. We expect the subscribers’ base to grow at slightly lower rate in 2014 than seen in 2012-2013 amid CAGR 32.5% recent economy contraction aforementioned under 24 Macroeconomic Outlook section . As for the longer run, it would be reasonable to forecast stronger growth provided a solid platform formed by rapidly growing Units: Megabit per second (Mbps) | Source: ITU, Ookla middle class population, firm economy growth and Units: thousand subscribers | Source: ITU growing number of new enterprises created every year (refer to graph 22 and 23). Additionally, household consumption has also been increasing exponentially, which signals growing demands for premium products/services. Graph 21 – Indonesia Households Consumption Expenditure Units: billion USD | Source: World Bank Graph 22 – Percentage of Household with Disposable Income Larger than 15,000 USD and 25,000 USD Source: Euromonitor Graph 23 – Decreasing cost to start a business, and increasing number of new business registered every year Source: World Bank 21 This indicator aims to explain bargaining power of buyer, more number of operators implies that customers have more choices and that competition is presumably more efficient resulting in generally lower prices. Though may be not entirely true, but the fact that Speedy holds more than 75% market share, which results in high market concentration, customers are therefore inferred low bargaining power. 22 Cost per Mbps measures the median cost charged by the provider for 1 Mbps. Indonesia is among the highest by a far margin. 23 Household download index measures average download speed per broadband connection. Additional information, European countries’ average download speed is above 20Mbps. 24 Recently high inflation that is expected to persist until mid-2014 would really penalize customers’ purchasing power; as such we expect their spending behavior would be shifted towards premier needs, such as food, transportation, etc.; thus available income for premium needs would be reduced, and premium products or services, including fixed-broadband service would surely be less attractive. PAGE 10/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT Table 7 - Speedy Subscribers and Monthly ARPU (last 5 years) Subscribers (000) % growth Broadband Revenues Broadband ARPU 2009 1,145 78% 5,339 389 2010 1,649 44% 7,069 357 2011 1,789 8% 7,484 349 2012 2,341 31% 7,980 284 2013 E 3,114 33% 8,382 224 CAGR 28% 12% -13% Units: billion IDR (revenues) and thousands IDR (ARPU) | Source: Company Reports, Bloomberg Telkom had introduced “Speedy Instant” or pre-paid subscription 25 that provides more flexibility to subscribers, which explains significant ARPU declined in 2012 and 2013, yet the impact on the overall revenue was being offset by the strong growth of the subscribers’ base, refer to table 7 - Broadband ARPU. 26 Telkom has recently engaged in fiber network roll-out , and we foresee the better technology 27 would facilitate the demand for larger data capacity and faster connection; we shall later see a clear distinction between mobile and fixed broadband in terms of speed and capacity. We forecast Speedy subscribers’ base to continue growing at CAGR of 30% for the next 2-3 years, and of 10% thereafter. Our perpetuity growth estimation implies that fixed broadband subscriptions in Indonesia would reach 50% penetration rate in approximately 20 28 years from today. In what concerns ARPU, we expect the declining trend to continue in the future due to increasingly growing number of pre-paid subscribers 29 and the fact that Telkom is already charging higher unit price than its APAC peers average, we foresee a 30 gradually declining tariff . Graph 24 – Speedy Subscribers and ARPU Forecast Units: thousand subscribers and thousand IDR (ARPU) | Source: Analyst’s estimates 25 Pre-paid subscribers are being charged the same initial amount for equipment (including modem) installation. The monthly charge will be then accumulated according to their monthly usage. 26 We could not infer how many households were actually under FTTH subscriptions. Telkom only disclosed in its reports that it had roughly 5 million homepass capacity in 2012 and aimed to reach 15 million by 2015. 27 Telkom is upgrading their old copper network with fiber to the home (FTTH), thus we expect higher speed and capacity to be delivered in the future. 28 We assume that the average persons of approximately 4 per household will not change in the future, and the population will continue growing at CAGR of around 1% in the long run-as projected by the IMF. 29 Pre-paid subscribers tend to have control over their own expenditure by simply limiting the usages, hence implying a rather lower ARPU. 30 It would be reasonable to see lower tariff in the future driven by the regulator (as was seen in cellular market couple years ago), assuming lower tariff would induce higher broadband penetration. PAGE 11/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT Cellular Business Over the past years, mobile cellular market has overshadowed other telecommunication services sectors in Indonesia; and with subscribers’ base totalled to more than 280 million in 2012, it has become the fourth largest cellular market in 31 the world . Graph 25 – Cellular Revenues Contribution throughout the Years Graph 26 – Cellular Subscriptions in Indonesia Graph 27 – 2012 Asia Pacific Cellular Penetration per 100 Inhabitants CAGR 16% Source: Analyst’s estimates, Company reports Units: million users | Source: ITU Units: # users | Source: ITU According to the Indonesian Telecommunications Regulatory Authority (BRTI), it is common that a single user owns more than one mobile phone and holds 2-3 active SIM cards with reason to get the best network quality (higher-end user) or cheapest price (lower-end user) available. We see this as an opportunity for continuing growth being sustained in near terms. As such, we forecast Indonesian cellular subscribers’ base to continue increasing at CAGR of 4% (lower than 6% yielded in 2012-2013) Graph 28 – Average Price for a Prepaid Starter Pack 32 for the next 3 years, and of 1% in perpetuity . Indonesian cellular market is characterised with high churn rate and highly disproportionate number of prepaid subscribers (refer to graph 30). In fact, we also see a correlation between low GDP per capita and high number of pre-paid subscribers. We believe that a cheap prepaid-starter-pack (refer to graph 28) coupled with limited financial means to commit for a post-paid plan explains why Indonesian cellular market is flooded by pre-paid subscribers. This also partly explicates low cellular average revenue per user (ARPU) 33 seen in Indonesian cellular market. Units: US$ | Source: Company Websites Graph 29 displays ARPU evolution relatives to GDP per capita, which seems, has reached the equilibrium (of around 2%-2.5%). We assume similar pattern to hold in 31 Top 5 global mobile markets by number of subscribers (2012); China (1,112 million users), India (865 million users), USA (303 million users), Indonesia (282 million users), Brazil (248 million users). Source: ITU 32 We look into Bloomberg (Bloomberg Industry – Telco Asia Pacific) forecast for Asia Pacific mobile sector growth of 7% CAGR as proxy; since the forecast made by Bloomberg includes China and India – of which their cellular penetration rate is still below average, it would be reasonable to forecast a slower growth for Indonesia. As for perpetuity, we expect the subscribers base to increase with population; population is projected to grow at CAGR of 1% by World Bank.s 33 Bear in mind that pre-paid subscribers have greater control over their own cellular service expenditure by limiting usage. Generally pre-paid ARPU will be much lower than post-paid ARPU. PAGE 12/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT the long run, meaning that cellular ARPU is to increase consistently with rising GDP 34 per capita . Graph 30 – Churn Rate vs. Prepaid Subscribers (as % of total cellular subscribers) Graph 29 – ARPU to GDP per Capita Comparison Source: World Bank, Bloomberg, Analyst’s Estimates Graph 31 – Indonesian Cellular Market Share Evolution Source: Bloomberg, Analyst’s estimates In 2001, the government liberalized the cellular market; and since then there have been three big players namely Telkomsel (TLKM:IJ), Indosat (ISAT:IJ), and XL Axiata (EXCL:IJ) that control more than 80% market share (as of December 2012, see graph 30). The other operators are briefly described in the appendix III. 35 Using Herfindahl-Hirschman Index (HHI) -that measures industry concentration level we see that competition has been escalating sharply (measured by a decreasing HHI index – showing of a less concentrated market). Smaller operators namely, Axis (not listed) and Hutchison Indonesia (not listed) have been significantly Source: Company reports, Analyst’s estimate 36 re-establishing their position in the market for the last 3 years . As seen in graph 31, XL was the one mostly affected Graph 32 – HHI of Indonesian Cellular Market 37 by their stronger presence. In early 2013, XL proposed an acquisition of Axis, which was recently approved 38 in the beginning of December 2013 by the Ministry of Communication and Information (KOMINFO) with a certain term that obliges them to return spectrum blocks of 10 MHz in 2,100 MHz frequency band used for 3G network. Even after returning 10 MHz frequency blocks, XL-Axis now has spectrum capacity as large as Telkomsel; Source: Analyst’s estimates 34 Note that we only use this additional information to triangulate our ARPU estimation, not to actually forecast the ARPU. HHI is calculated by summing of the squares of the market shares of all cellular operators. The value ranges from 0 to 10,000. HHI Index of 10,000 indicates market-monopoly while 0 implies a nearly perfect competition. For example, market of 8 participants (as in the case of Indonesia cellular market) with perfectly equal market share would have a HHI index of 1,250. 36 Axis and Hutchison market share were estimated around 5% and 8% in 2012 respectively, which increased to 7% and 12% in 2013. 37 XL lost 3% of its market share in 2012 38 According to the Indonesian Supervising Committe for Business Competition (KPPU), XL-Axis merger and acquisition would not harm the market competition, and will not cause monopolistic industry. KPPU estimates an increase of 200 points in HHI post-merger. 35 PAGE 13/36 PT. TELEKOMUNIKASI INDONESIA Graph 33 – 2013 Total BTS Comparison COMPANY REPORT Table 8 – 2013 Spectrum Blocks (MHz) and BTS Comparison Matrix39 900 Mhz 7.5 10 7.5 0 0 7.5 Telkomsel Indosat XL Axiata Hutchison AXIS XL-Axis 1,800 Mhz 22.5 20 7.5 10 15 22.5 2,100 Mhz 15 10 15 10 10 1542 # BTS40 65,65341 23,207 42,796 ~13,000 ~10,000 ~53,000 Source: Ministry of Communication and Information Technology, Company reports, Analyst’s estimates Source: Company reports In order to understand the implication of those figures presented above, we run some spectrum efficiency calculation that reveals their importance, please consult appendix V. We foresee XL-Axis to become a more formidable player in the future; by retaining Axis’ spectrums and infrastructures, XL would be able to cut its 43 investment budget and save considerable amount in capital expenditure , and to focus more on rebranding and gaining more market share. Nevertheless, we expect the impact on the industry dynamic and especially on Telkomsel to be more apparent in medium to long term timeframe, considering an integration process 44 that XL-Axis has to endure. Furthermore, XL-Axis merger and acquisition will promote industry consolidation as also supported by the regulator who thinks that 45 the cellular market is currently too crowded . Should the consolidation happen in the future, Telkomsel would most likely be forced out of consolidation to avoid high 46 market concentration . We expect Telkomsel’s market share to eventually shrink to 40% over the long run. Best case Scenario – market share remains intact Notwithstanding the aforementioned concern, we see a likely scenario that Telkomsel would be able to maintain its market share through aggressive customer 39 Telkomsel and XL acquired additional 5 MHz in 2,100 MHz band in February 2013. See appendix V for the 2,100 MHz Band Plan by the Ministry of Communication and Information Technology. 40 Base tranceiver station (BTS) is a telecommunication equipment that transmits and receives radio telephony signals to and from other user equipment devices, such as mobile phone. 41 Currently Telkomsel has the most BTS employed and spread throughout the country and claims to cover more than 97% of the population. In 2013, it has added 11,356 new BTS of which 71% are 3G BTS. We estimate the BTS deployed by Telkomsel in 2018 will consist of more than 75% 3G/4G BTS, as the company intends to stop deploying 2G-BTS in near future. 42 XL-Axis is obliged to return 10 MHz spectrum blocks in 2,100 MHz. 43 Looking at our spectrum efficiency calculation, XL-Axis would have enough capacity to accommodate its potentially growing subscribers’ base without incurring any significant investment for additional BTS and/or spectrum in near future. 44 Integration process would involve network integration, business process re-engineering, streamlining distribution networks, redefining cost-structures, rebranding, etc. 45 According to the regulator, it will be hard to obtain additional spectrum in the future without consolidation as spectrum is a scarce national resource. It is expected that Indonesian telecommunication sector will face spectrum crunch in the next 2-3 years where there are insufficient bandwidth to accommodate excessively growing data demand. 46 Regulator uses HHI index-where level of concentration is divided into 4 spectrum; spectrum 1 is associated with HHI Index that ranges from 0-1800 (low concentration), spectrum 2 with HHI Index ranges from 1801-3000 (moderate concentration); spectrum 3 with HHI Index ranges from 3001-4000 (high concentration); spectrum 4 with HHI Index above 4000 (monoplistic industry tendency)- to assess any potential merger and acquisition. We expect that Telkomsel will not be granted any acquisition proposal as it will cause high industry concentration (referring to HHI Index that might jump to above 4000 level). PAGE 14/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT loyalty program and by continuously maintaining its superior network quality and expanding its coverage as seen in the last 3 years. Telkomsel has the capacity to do so given its strongest operating cash flow resulted from its largest scale business and superior operating efficiency; moreover, it also has the strongest financial position among the three, as summarized in the following table; Table 9 – 2012 Operational and Financial Highlight Comparison Telkomsel 54,531 57% 25,573 47% 11.7 0.16 Revenues EBITDA Margin Operating Cash Flow OCF/Sales Interest coverage Total Debt/EBITDA Graph 34 – 2013 Subscribers’ base Evolution Indosat 22,419 47% 6,989 31% 1.54 2.23 XL 20,970 46% 8,985 43% 5.6 1.4 Units: billion IDR (unless stated) | Source: Company Reports, Analyst’s Estimates Secondly, Indosat recent network roll-out issue has resulted in incremental subscribers’ base of both Telkomsel and XL, and their respective cellular revenues (refer to graph 34 and 35). Indosat weakest financial position would also limit its Source: Company reports ability to engage in decent network upgrade that leads to continuing poor network Graph 35 – 9M 2013 YoY Revenues Comparison quality, falling operating revenues, worsening operating cash flow and thus limiting 47 investments and having tenacious network issues . This on-going concern over Indosat would give Telkomsel opportunity to maintain, if not enlarge its subscribers’ base. Lastly, Telkomsel’s solid network existence and strong brand awareness outside 48 Java may persist and its market share would likely remain intact . Following table summarizes our Indonesian cellular subscribers’ growth and Source: Company reports Telkomsel market share forecast; Table 10 – Indonesian Cellular Subscribers and Telkomsel Market Share Forecast Indonesian Population # Cellular Penetration Penetration rate Best Case -Market Share Base Case -Market Share 2012 A 247 282 114% 44% 44% 2013 E 248 299 121% 43% 43% 2014 F 252 318 127% 43% 43% 2015 F 255 334 131% 43% 42% 2016 F 259 348 133% 44% 41% 2017 F 262 351 134% 43% 40% 2018 F 266 354 133% 43% 40% Units: millions users | Source: World Bank, Analyst’s estimates 47 Indosat has netted -1.8 trillion IDR lost in 9M-2013 caused by slumping revenues, higher financial cost and excessive forex lost. This worsening condition would limit its ability to recover its network issue. 48 Although Telkom was required to share its network infrastructure by the regulator (under network sharing regulation introduced in 2008), we are convinced that smaller operators are rather lacking of scale than lacking of access to infrastructure. The fact that they already have access to third party infrastructure provider (with similar capacity with Telkom’s tower subsidiary), we foresee insignificant changes in the industry dynamic for the upcoming terms. PAGE 15/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT Voice Usage and Tariff Graph 36 – Telkomsel MoU/user/month We see voice to data substitution effect has started accumulating through voice over internet protocol (VoIP) applications like Skype, Google Talk, FaceTime, Viber, etc. Minutes of usage (MoU) per user has been declining, whilst operators has been inducing usage through promotions (free calls, for instance) that subsequently, has put pressure on the average revenue per minute (ARPM). Given the fact that smartphone penetration in Indonesia is still relatively low, yet showing significant 49 growth potential , voice to data substitution effect would only be amplified in near Source: Company reports, Analyst’s estimates | Units: minutes/user future (refer to Mobile Broadband section for greater detail about m-broadband). The fact that Telkomsel’s has consistently charged higher price per minute (as seen Graph 37 – ARPM Evolution in graph 37) whilst being able to preserve its market share is evidence of economies of scale it has created through its superior network quality that has persisted over the previous years. Moving forward, we expect Telkomsel’s unit price to be maintained above market price, yet we believe that price compression is unavoidable and the ARPM will continue declining due to excessive promotions resulted from fierce competition. As for the longer run (perpetuity); considering that the industry consolidation were to happen, market would reach competitive Source: Company reports, Analyst’s estimates | Units: IDR/minute equilibrium eventually; as such unit price would stop being penalized, and start rising with inflation. Below is our forecast summary; Table 11 – MoU/User/Month and ARPM Forecast MoU (minutes) ARPM (IDR) Voice Revenue Implied Voice-ARPU 2011 A 129 172 28,598 22 2012 A 123 166 30,731 20 2013 E 128 163 32,455 21 2014 E 127 154 31,785 20 2015 E 126 149 31,406 19 2016 E 125 146 30,866 18 2017 E 124 145 30,457 18 2018 E 123 151 31,593 19 Units (voice revenues): billion IDR | Source: Analyst’s estimates SMS Graph 38 – Telkomsel Historical Trend of SMS per Users (LHS) and RPS (RHS) We expect that SMS per user will also resume its down trend following increased popularity of on-line messaging through Blackberry messenger (BBM), WhatsApp, Facebook messenger, Lines, etc. Nevertheless, we see that the substitution effect had peaked in 2010; where average SMS/user stumbled from 285 in 2008 to 177 in 2010 and has been rather slowly decreasing (see graph 38); we forecast SMS volume to continue declining yet to a lesser degree. In what regards revenue/SMS (RPS), we see a similar pattern that happened in 2009 being held currently; RPS seems to be resilient not to drop further below 50 Units: # SMSs and IDR/SMS (RPS) | Source: Company reports IDR mark as the operators must cover for the SMS interconnect expense about 35 49 Smartphone penetration in Indonesia has doubled from 12% in March 2012 to 24% in March 2013, source: Emarketer, retrieve (December 2013) from: http://www.emarketer.com/Article/Smartphone-Penetration-Doubles-Indonesia/1010102 PAGE 16/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT IDR. This in fact implies 30% net-interconnect margin for SMS, which is expected to be the minimum margin. However, we anticipate the pricing compression resulted from lower demand were to persist for the foreseeable future. We assume that Telkomsel would maintain RPS at a similar rate as competitors. Table 12 - SMS Production and Revenues Forecast SMS/user (#) 50 RPS (IDR) Competitors’ RPS (average) SMS Revenue 2011 A 174 58 2012 A 168 50 51 2013 E 163 51 - 2014 F 159 51 - 2015 F 156 51 - 2016 F 153 52 - 2017 F 152 52 - 2018 F 152 53 - 13,093 12,631 12,921 13,202 13,370 13,348 13,354 13,557 Units: billion IDR (revenues) | Source: Company Reports, Analyst’s Estimates Graph 39 – Mobile Broadband Subscribers (LHS) and Total Data Traffic production (RHS) Mobile broadband “Flash” – the future growth engine Over the past 5 years, we have seen enormous growth of data usage; as seen in graph 39, Telkomsel’s mobile broadband subscribers’ base has increased massively from 1.8 million in 2009 to 22.7 million in 2013, whilst data traffic production increased immensely from 12 petabyte 51 (PB) to 96 PB. In order to forecast revenues contribution from mobile-broadband properly, we breakdown the key drivers as follow; Units: million users and Petabyte (Data traffic) | Source: Company reports Young Population and Growing Urbanization First and foremost, Indonesian young population would provide an economic advantage for the telecommunication carriers as they are more technology savvy, social and connected; which also becomes even more relevant as we see broadband penetration in Indonesia, unlike global broadband penetration, is skewed heavily Graph 40 – 2012 Broadband Penetration by Age Group towards age group of 14-34 years old, see graph 40. Table 13 - Portion of Indonesian Population by Age Group 2015 F 26% 17% 17% 15% 12% 13% Age 0-13 Age 14-24 Age 25-34 Age 35-44 Age 45-54 Age 55+ 2025 F 24% 17% 17% 16% 14% 19% 2035 F 22% 16% 17% 16% 16% 26% Source: World Bank Source: Telkom Presentation 2011 Furthermore, urban population has been increasing and its respective poverty headcount has been consistently decreasing since 2006. Though we could not quantify urban population by age group due to lack of data, we assume that growing urbanization 50 51 in general will promote higher penetration of advance Note that revenue per sms (RPS) is associated with total SMS productions thus including free SMSs 1 Petabyte = 1,000,000,000 MB PAGE 17/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT telecommunication gadget, such as smart-phones and tablets, which in turn will drive data traffic higher. Altogether, those indicators aforementioned above will provide a solid platform for robust growth in the mobile-broadband sector. Graph 41 – Poverty Headcount Ratio at Urban Poverty line (% of urban population) Graph 43 – 2012 Facebook users globally (excluding USA) Graph 42 – Urban Population (% of Total) Source: World Bank Source: World Bank Smartphone + Social Media = the Next Big Thing It is undeniable that a changing lifestyle within Indonesian society promotes higher usage of smartphone and other large screen devices, such as iPad, Android Tablet, etc. Indonesians are more modernized and seek more sophisticated way to communicate through on-line messaging platform, on-line news portal, on-line social media and video streaming platforms, etc. This argument is supported by the large number of Facebook and Twitter (the most recognized social media platforms Units: million users |Source: Facebook Annual Report 2012 Graph 44 – 2013 Global Twitter Users (% of Total, excluding USA) globally) users in Indonesia, which is currently the fourth and the third largest market for Facebook and Twitter respectively. Furthermore, smartphone users grew substantially from 11 million in 2011 to 42 million in 2013, which also explains huge jump in data-traffic between the years (refer back to graph 39). Nowadays, smartphone can leverage and deliver those aforementioned needs in a more sophisticated fashion. This is why they are the key value driver to mobile carrier operators of which will surely benefit from this fast growing advance technology gadget. As shown in graph 47 reported by Cisco, data traffic produced by smartphone users has grown substantially and surpassed data traffic produced by Source: PeerReach statistics, October 2013 notebooks in 2013, whereas graph 45 and 46 shows that Asia Pacific (will) have a high share of the total mobile traffic. Graph 45 – Monthly Data Traffic Production by Region Units: Terabytes | Source: Cisco Visual Networking Index 2013 Graph 46 – Global Mobile Data Traffic Monthly Forecast Units: Exabytes | Source: Ericsson Mobility Report, November 2013 Graph 47 – Global Mobile Data Traffic by Device Type Units: Petabyte | Source: Cisco Visual Networking Index 2013 PAGE 18/36 PT. TELEKOMUNIKASI INDONESIA Graph 48 – Connection Speed Threshold COMPANY REPORT Graph 48 describes the minimum speed of internet connection required to utilize the respective usages. As of today, mobile cellular broadband has the capacity to accommodate those needs effortlessly with an average connection speed that is faster than 1,000 Kbps. The fact that nowadays, Indonesian can go online by Graph 49 – 2013 Global Smartphone Penetration spending as low as 15,000 IDR (less than 2 US$) (which was a decrease from 52 50,000 IDR (4 US$) 2 years ago ), would only boost mobile broadband penetration Units: Kbps | Source: Ericsson Mobility Report, November 2013 higher. Moreover, smartphone penetration rate in Indonesia is still comparatively low, signalling tremendous growth that is yet to Graph 50 – %population has broadband connection be seen. Source: Nielsen report, September 2013 Flash Market Share, Unit Price and Data Volume Forecast Following 9M-2013 results released, Telkomsel Flash has approximately 55% of mobile broadband market share, which is a decline from 74% in 2011. For the last two years competition in mobile broadband has been fiercer than ever, and has led to enormous data pricing compression. Nowadays a single operator provides more Source: ITU than 3 different packages with diverse choices in capacity and speed. Several smaller operator charges much lower tariff which compete purely on valuedestroying pricing strategy. Graph 51 summarizes mobile broadband price, speed and capacity comparison between operators; Graph 51 – 2013 Price/MB, Average Download Speed, and Average Capacity (Advertised) Comparison Implied Price/MB Advertised Speed and Capacity Kbps MB 5,400 750 8,366 1,000 7,200 1,000 7,200 1,000 7,200 750 6,104 1500 154 500 Units: IDR/MB | Source: Company reports, Company websites, Analyst’s estimates Telkomsel biggest threat now comes from XL-Axis considering its stronger infrastructures (more BTS-wider coverage) and larger capacity (larger spectrum bandwidth), and its low-cost strategy. As such, we foresee Flash subscribers’ base to deteriorate further to 40% in the long run and in the perpetuity (or at similar level of its cell-phones market share). 52 Average tariff for a mobile broadband prepaid starter pack in Indonesia as of December 2013. Source: Company websites PAGE 19/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT Table 14 - Broadband Subscribers' Base and Flash Market Share Forecast 2011 A 2012 A Indonesian M-Broadband users 12 26 Penetration rate (% population) 5% 11% Flash and Blackberry subsccribers 9 17 Market Share 74% 64% 53 2013 E 42 17% 23 55% 2014 F 2015 F 2016 F 2017 F 61 75 90 104 24% 29% 35% 40% 32 37 41 45 52% 49% 46% 43% 2018 F 114 43% 45 40% Units: million users | Source: Emarketer, Company reports, Analyst’s Estimates Graph 52 – Substantial Data-Pricing Compression (cost/MB) started in 2012 Furthermore, we expect data pricing compression to continue in the future; Telkomsel current price per megabyte (MB) is currently at premium 54 103 IDR , whilst the market average is just 64 55 IDR. We forecast Telkomsel price to be driven by the market price in the future, especially by XL-Axis, considering business scale they just created. Graph 53 – Monthly Data Traffic per User Forecast We foresee data usage (traffic) will increase substantially in the future with enhanced network capacity, namely 4GSource: Company reports, Analysts’ estimates | Units: IDR/MB 56 LTE technology . Nevertheless, we forecast Indonesia’s CAGR 25% data traffic production to be less than the Ericsson’s projection since the implementation of the LTE network in Indonesia is quite lagging compared to the global average 5758 . Source: Ericsson Mobility Report, November 2013 Table 15 - Mobile Broadband Revenue Forecast Data/user/month (MB) Cost/MB (IDR) Broadband Revenue Implied ARPU (000 IDR) 2012 A 258 121 2013 E 353 109 2014 F 472 92 2015 F 619 81 2016 F 779 72 2017 F 961 67 2018 F 1,160 62 6,273 31 10,442 38 16,501 43 22,168 50 27,992 56 34,592 65 38,879 72 CAGR 27% -11% 30% 14% Units: (revenues) billion IDR | Source: Company reports, Analyst’s Estimates 53 We expect Indonesian broadband users to grow substantially at CAGR 26% for the next 4 years (using indication from Ericsson for Asia Pacific mobile broadband sector and Emarketer), and 10% over the longer run. Our estimation infers that penetration rate will be close to 100% in approximately 10 years-time. We assume that multiple subscriptions per user will be more apparent in mobile broadband sector as people generally own tablet and smartphone at the same time (as they provide rather different features). Considering that technology in general always grows swiftly and exponentially, our implicit timeframe should be then reasonable. 54 Global average is at 0.50-1.00 US$ cent (60-120 IDR). Source: international operators websites, analyst’s research estimates. 55 Please note that this is the offered price on competitors websites, therefore we might overestimate (underestimate) the true price charged per MB due to less (more) actual usage. As for Telkomsel, Indosat and XL we used the actual revenue per MB derived from total data revenues divided by total data traffic production. 56 Last October 2013, Telkomsel conducted 4G-LTE network trial, of which the actual (not advertised) 4G internet connection speed reaches approximately 15 Mbps or about 7-8 times faster than average normal 3G connections. 57 South Korea was the first to commercially deploy 4G technology in 2006, followed by Northern European countries in 2009, and rest of the world (developed countries) in 2010-2011. 58 There are two important factors in estimating data traffic production per user; first is the device being used, 4G enabled and 3G enabled devices apparently have different output. We assume that Indonesians, being less wealthy on average than its international peers, would prefer cheaper product (Indonesia has been flooded by smartphone shipped from China targeting lower-end users) that obviously has technical limitation (most of them are still 2G-3G only devices) when compared with higher end products such as iPhone or Samsung Galaxy (of which are made ready for 4G network), thus limiting their broadband usage. Second is the 4G-LTE network availability; as aforementioned, Indonesian cellular operators have not yet conducted 4G-LTE network roll-out, indication is that they might start as soon as next year. Regulator (BRTI) is still arranging and assessing 4G LTE frequency band. As frequency band is limited, there is speculation that 4G will be operated in 1,800 MHz band, which is currently being used for 2G network, and reaffirming network might take some time, if not years. PAGE 20/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT Interconnection 59 Economies of scale are more apparent in what regards net-interconnect margin . Graph 54 – Net-interconnect Margin Comparison Given its largest market share, Telkomsel has been able to yield significantly higher net-interconnect margin, as seen in graph 54. In 2006, the Ministry of Communication and Informatics Republic Indonesia (KOMINFO) mandated a cost-based interconnection tariff 60 scheme ; where the interconnection charges are determined by the network operator on which a call terminates based on a long-run incremental cost formula. As of today, all network operators charge Source: Company reports, Analysts’ estimates similar on/off net tariff as presented in graph 55. Regulator has altered the tariff in 2008 that reduced off-net charged per minute by 10% to approximately 30 IDR, which implies termination rate of 5 IDR per second that is equivalent to approximately 0.025 USD/minute. At this rate, interconnection tariff in Indonesia is in 61 Graph 55 – On-Net vs. Off-Net Tariff per second fact relatively low compared to its International peers . We could then argue that 62 cellular market in Indonesia should not be heavily affected by the network effect ; nevertheless, market share would still be the important factor in gaining netinterconnect margin; as larger market share implies higher interconnection revenues and lower interconnection expenses. As we expect Telkomsel’s market share to eventually contracting in the future, we suppose the respective net-interconnect margin to shrink too. Graph 56 recaps our interconnection expense and revenue per minutes relative to ARPM forecast. Source: Company reports, Analysts’ estimates | Units: IDR/second Graph 56 – Net Interconnect Margin Forecast Source: Company reports, Analysts’ estimates 59 Net-interconnect margin is calculated by deducting interconnection revenues received from other operators by the interconnection expenses paid to other operators. 60 KOMINFO issued Regulation No.8/PER/M.KOMINFO/02/2006 on interconection on February 8, 2006. (retrieved from: Telkom annual report 2012, ) 61 Average termination rates around the world; Europe (0.07 USD), Africa (0.19 USD), Asia Pacific (0.04 USD), USA (0.16 USD). Source: ITU World Tariff Policies Database 2012 62 The fact that smaller operators like Hutchison and Axis has been able to reinforce their position lately is evidence that network effect is rather insignificant in Indonesian cellular market. Additionally, as we foresee data-voice to take charge in near future, interconnection cost would be less relevant. PAGE 21/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT Operating Cost Margin and Investments Fixed Business Margin As discussed previously, broadband tariff in Indonesia is relatively more expensive than its International peers; we believe that the regulator would likely to drive price lower, considering currently low broadband penetration rate could be propelled by a Graph 57 – Fixed-line Business EBITDA Margin Forecast decreasing unit price; consequently lowering Telkom operating margin. Moreover, although regulator has not required Telkom to share its fixed-broadband infrastructure, in the future where demand for fixed-broadband is presumed to be increasingly growing, we foresee threat of new entrants and a likely scenario that Telkom would have to share its infrastructure thus decreasing its competitive advantage. It would be then most reasonable to expect a rather Source: Company reports, Analysts’ estimates, Bloomberg contracting margin in the future. Nevertheless, we are still convinced that Graph 58 – Fixed Business Operational Expense Contribution by Segments Telkom’s fixed-business margin would be higher than comparables due to following reasons; firstly, Telkom’s operation and maintenance expense contributes by relatively low portion to the overall operating expenses, this means that even if unit price margin were to shrink, it would not affect Telkom’s overall margin greatly. In fact the company was able to reduce costs related to the operation and maintenance in 2012, which shows its superb operational efficiency. Secondly, Telkom’s most expensive bill comes from 63 Source: Company reports, Analysts’ estimates personnel expense , which consistently contributes around 50% of total operating expense, whereas comparables’ average is within 20-30% range; Moreover, Telkom’s workforce efficiency in which reflected by the amount of Graph 59 – 2012 Revenues per Employee revenue generated per employee is relatively low, suggesting that the company still has some extra space in the trunk for the workforce efficiency enhancement. Lastly, which we consider as best case scenario; though we could not quantify precisely as 64 65 for Telkom fibre roll-out case , according to FTTH Council Europe , “fiber access networks are lower cost to build than copper and much lower cost to operate”; total operational cost reductions were estimated of around 15%-30%; as such we presume higher margin to be sustained. As for the worst case scenario (Indonesia economy to erode further, appendix II), it Source: Analysts’ estimates, Bloomberg | Units: billion IDR is common that companies including Telkom would not be able to adjust its fixed cost instantly, such as personnel cost, SG&A expense, etc. and therefore sudden 63 Being an SOE, Telkom rather assumes responsibility in creating job field. Telkom did not disclose specifically its investments and operational cost related to FTTH, and revenues gained from the investment. 65 Stanislawski, S., & Kauze, J. (2012). Financing Stimulus for FTTH. Retrieved from http://www.ftthcouncil.eu/documents/Reports/FTTH_Finance_Report.pdf 64 PAGE 22/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT drop in revenues – in response to the slumping demand, would result in significantly lower margin. We use comparables margin (of 40%) as proxy in determining margin contraction for the worst case scenario. Cellular Business Margin Graph 60 – Prepaid Subscribers (% of Total) As aforementioned, Indonesian cellular market is characterized by its highly disproportionate amount of pre-paid subscribers; as of December 2012, only 1 in 100 cellular subscribers is a post-paid subscriber. Though pre-paid ARPU is much lower than post-paid ARPU, the profit margin associated with pre-paid subscription is arguably higher as pre-paid subscribers pay higher unit prices (price per minute and per SMS, for instance), and operator need not deal with bad-credit customer which may incur additional operating cost (under SG&A expense). We believe that is one of the main reasons why Indonesian cellular operators have been able to Source: Company reports sustain EBITDA margin above 45% whilst international median margin is around 66 38% . We see a correlation between high revenue contribution from prepaid subscribers and high operating margin as shown in graph 62 and 63. Graph 62 – 2012 Prepaid Subscribers (% of Total) Graph 61 – 2013 Unit Price Comparison (Telkomsel Prepaid vs. Post-paid) as advertised Units: IDR | Source: Company websites, Analyst’s estimates Source: Bloomberg, Analyst’s estimates Graph 63 – 2012 Margin Comparison Source: Bloomberg, Analyst’s estimates Notwithstanding the aforementioned fact, we see that market share (competition) Graph 64 – EBITDA Margin vs. Market Share has a substantial impact on margin. As seen in graph 64, Telkomsel EBITDA margin has been shrinking consistently with a decreasing market share. Moving forward, we see continuously contracting margin to be in line with our declining-market share forecast. compression Additionally, that is heavy caused by pricing Graph 65 – Cellular EBITDA Margin Forecast vicious competition would continue putting pressure 67 on margin too . Subsequently, we forecast margin to be gradually declining towards Source: Company report, Analyst’s estimates competitors’ margin. We are aware that our initial estimate involves Source: Analyst’s estimates 66 Source: Bloomberg Telkomsel’s expense related to network activity is significant, contributing to about 65% of total operating expense, therefore, unit price margin really does matter for it. 67 PAGE 23/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT upside risk where Telkomsel would in fact be able to sustain higher margin as if the company were to succeed in preserving its market share; as such we incorporated this likely scenario into our best-case scenario analysis. Fixed Line Investments Fixed network business investments mostly utilized for deploying access and backbone infrastructure to support the broadband services. As part of the IDN project aforementioned, we foresee intensive capital expenditure (CAPEX) relative to sales to last until 2015. In order to have the notion of recent investment intensity committed by Telkom, we conducted comparable analysis focusing on capital expenditure per fixed-line subscription as shown in graph 67, which we expect similar intensity to hold in near future as we believe that relatively more expensive investment made by Telkom per fixed-line subscribers was largely due to a more challenging Indonesia’s geography condition, and the fact that Telkom has just began its fiber roll-out whereas its peers had started couple years ago. As for the longer run, Telkom’s fixed network CAPEX budget should be closer to the comparable CAPEX. Graph 66 – Customer Survey Results Source: Company reports Graph 67 – 2012 CAPEX per Fixed-Line Connection Graph 68 – Fixed Network CAPEX Forecast Units: thousand IDR | Source: Bloomberg, Analyst’s estimates Units: trillion IDR | Source: Bloomberg, Analyst’s estimates In what regards extraordinary maintenance, we foresee no additional CAPEX required as Customer Satisfaction Index 68 has showed continuing improvement, which implies that the existing infrastructure has served the customers well. Cellular Investments We see that Telkomsel capital expenditure per incremental data traffic and per subscribers has been much lower than its competitors. It would therefore be reasonable to anticipate higher investments made by Telkomsel in the future in order to keep up with competitors, especially in response to XL-Axis’ stronger infrastructure. 68 Telkom routinely engage independent market analysts to conduct survey and market research on their customers’ levels of satisfaction and loyalty. (avaliable on annual report 2012,2011,2010) PAGE 24/36 PT. TELEKOMUNIKASI INDONESIA Graph 69 – Cellular CAPEX Comparison Units: billion IDR | Source: Company reports COMPANY REPORT Graph 70 – CAPEX to Revenues Source: Company reports Graph 71 – CAPEX per Subscriber Units: thousand IDR/subs | Source: Company reports, Analyst’s estimates Graph 72 – CAPEX per Incremental Data Units: IDR/MB | Source: Company reports, Analyst’s estimates Since Telkomsel’s CAPEX has been largely, if not all, devoted to BTS deployment, it is of utmost importance to properly estimate the additional BTS of which is installed to accommodate excessively growing data-demand. Considering limited spectrum availability operators could only meet data traffic through deploying more BTS. Please see appendix VI for our BTS forecast. Our BTS forecast implies that Telkomsel’s capital expenditure would be continuously larger than its current level. Notwithstanding, provided our mobile broadband revenues forecast, Telkomsel would break even in 2015, and would continue generating good returns from the emergence of the mobile broadband usage. Graph 73 – Cellular CAPEX Forecast Units: trillion IDR | Source: Analyst’s estimates Graph 74 – Mobile Broadband Revenue Contribution Units: billion IDR | Source: Analyst’s estimates FOREX Risks on Investments We also take into account FOREX risk associated with Telkom capital expenditure 69 committed under foreign currency contractual agreement . As provided in the appendix VII, higher CAPEX was somehow associated with weaker Rupiah in that respective year. Hence, it is also important to understand what might be the additional amount derived from the FOREX risk. By assuming that in the future, Telkom would commit to 40% USD denominated CAPEX, we could then infer additional amount of CAPEX associated with increased in USD/IDR. 69 More than 90% of the foreign currency contractual agreement was denominated in USD PAGE 25/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT Capital Structure and Cost of Capital Graph 75 – Target Debt/EV Target D/EV Management has been rather conservative in its use of debt. As seen in graph 75, Telkom has engaged in comparatively low leverage than its peers. Strong operating cash flow has allowed Telkom to finance its investments without relying too much on debt. Yet we assume that the company would seek an optimal capital structure (by increasing leverage) in order to minimize the cost of capital over the long run. We infer 14% Source: Analyst’s estimates, Bloomberg 70 debt to enterprise value to be maintained in the future. Cost of Capital Table 16 – WACC US 10Y TIPS US 10Y Govt. bond 71 US inflation Indo inflation Rf 0.8% 3.0% 2.2% 4.5% 5.3% Market risk premium β sector β country Cost of equity 5.5% 0.95 1.22 11.6% Probability of default Recovery rate Yield Cost of debt 1.9% 49.6% 9.0% 7.9% We used CAPM pricing model to estimate the cost of equity. Firstly, we inferred that the US 10-year government bond is the most applicable risk-free asset and thus its yield would give us the most appropriate risk-free rate proxy. Next, we obtained Indonesia risk-free rate by adjusting the differential in the expected 72 Target D/EV 14% long term inflation . Secondly, in order to get a fair estimation on telecommunication sector systematic risk, we regressed 63 global telecommunication companies’ stock returns on the MSCI World Index returns; we then unlevered each company beta using their respective capital structure and statutory tax rate. Subsequently, we derived a median of unlevered beta of 0.85. Finally by using Telkom capital structure and statutory tax rate, we could obtain the appropriate levered beta for Telkom. Although CAPM infers that investors are well diversified and implies that sector beta should be an adequate measure of the investment risk associated with Tax rate Telkom WACC Telkom Tax rate Telkomsel WACC Telkomsel Source: Analyst’s estimates, Bloomberg 20% 10.9% 25% 10.8% Telkom, we believe it does not sufficiently capture specific country risks such as political instability, social unrest, natural disaster, etc. Therefore we incorporate country beta in our cost of equity estimation to reflect this additional risk. To obtain the country beta, we regressed Jakarta Composite Index (JCI) returns on the MSCI World Index returns (using monthly data of the last 5 years). Lastly, by assuming risk-premium of 5.5% we derived the cost of equity of 11.6%. In what regards cost of debt, we incorporated Moody’s probability of default and 73 historical recovery rate for similar rated companies (BBB-) into our calculation . Taking into account the specific tax rate for Telkom and Telkomsel, we estimated their respective weighted average cost of capital of 10.9% and 10.8%. 70 71 We use mean-reversion approach; adding 2/3 of Telkom current weight to 1/3 of sector average US expected inflation was obtained by deducting US 10Y bond yield with US 10Y TIPS 72 Risk free Indonesia = (1 + Risk free US) * (1 + Indo Inflation) /(1 + US Inflation) - 1 73 The cost of debt was calculated as follow; (1+yield) * (1- probability of default) + recovery rate * probability of default -1 PAGE 26/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT Final Valuation Considerations ROIC Graph 76 – ROIC Our valuation implies a declining ROIC 74 for the cellular business due to expectedly lower margin and higher investments for the upcoming terms discussed previously. Notwithstanding, we believe that relatively high excess return generated by Telkomsel is reasonable given its persistently strong operational and financial position that would enable the company to maintain its large-scale business, which also being supported by the cellular market size and structure in Indonesia aforementioned previously. As for the fixed-line business, we believe that the emergence of the growing demand for fixedSource: Analyst’s estimates broadband service, despite the unavoidable decline of the fixed-voice service, would avoid value destruction. Nevertheless, we would not see significant excess returns generated from the fixed network business as we foresee broadband price compression would penalize the margin and NOPLAT consecutively. Terminal growth rate We derived terminal growth rate for both cellular and fixed-line business from the reinvestment rate and the ROIC associated with their respective perpetuity cash flow. As for our base case scenario, we obtained 7% and 4.5% nominal growth rate for the cellular and fixed-line business respectively. Considering the expected longterm inflation rate of 4.5%, cellular and fixed-line business is then respectively presumed to grow by approximately 2.4% and 0% in real term and in perpetuity. Since the cellular business terminal value contributes by disproportionately large amount to the enterprise value, impact on the fair value caused by changes in the implicit cellular growth rates is considerably larger. We then performed another sensitivity analysis in regards to the final price target that is affected by the implicit cellular growth rate derived from reinvestment rate and ROIC, refer to table 18. Cellular Growth 6.50% 6.75% 4.00% 2,318 2,417 4.25% 2,332 2,431 4.50% 2,347 2,446 4.75% 2,362 2,461 5.00% 2,379 2,478 7.00% 2,529 2,543 2,547 2,573 2,590 7.25% 2,657 2,670 2,686 2,700 2,717 7.50% 2,803 2,817 2,832 2,847 2,864 Source: Analyst’s estimates 74 Table 18 – Price target sensitivity to changes in cellular ROIC and RR ROIC Fixed-line Growth Table 17 – Terminal Growth Rates Sensitivity Analysis Reinvestment 20.9% 28.5% 2,172 29.5% 2,237 30.5% 2,308 31.5% 2,386 32.5% 2,473 Rate 21.9% 2,262 2,339 2,425 2,520 2,626 22.9% 2,364 2,457 2,547 2,676 2,809 23.9% 2,481 2,592 2,718 2,863 3,030 Source: Analyst’s estimates ROIC presented here is obtained from the base-case scenario. PAGE 27/36 24.9% 2,615 2,750 2,907 3,089 3,305 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT Appendix I – Financials Table 19 – Financial Summary 2011 A 2013 E 2014 F 2015 F 2016 F 2017 F 2018 F 77,143 40,343 25,887 -1,459 -200 24,228 -5,866 -5,512 12,850 83,145 42,987 27,978 -806 -363 26,809 -6,563 -6,074 14,172 89,027 45,742 29,284 -658 0 28,626 -7,002 -6,487 15,137 96,109 48,357 30,189 -546 0 29,643 -7,222 -6,726 15,695 103,729 50,707 30,913 -778 0 30,135 -7,327 -6,843 15,966 111,252 53,590 32,222 -694 0 31,529 -7,670 -7,158 16,701 119,006 56,242 33,519 -662 0 32,856 -7,990 -7,460 17,406 17,881 14,863 32,744 13,932 423 -139 138 14,355 18,390 -2,387 16,003 -122 -1,091 242 -4,143 -10,889 -16,003 21,532 14,456 35,988 16,260 -2,075 964 427 15,576 20,412 -1,205 19,207 -7,080 -1,459 293 1,404 -12,365 -19,207 23,223 15,008 38,231 22,389 -616 -965 -514 20,295 17,936 -1,769 16,167 -5,985 -806 173 291 -9,839 -16,167 23,708 16,458 40,166 25,525 -1,593 -78 -474 23,380 16,786 -1,868 14,918 2,394 -658 117 -2,599 -14,172 -14,918 24,019 18,168 42,187 26,452 -337 -454 -354 25,307 16,880 -1,802 15,078 -948 -546 96 1,457 -15,137 -15,078 24,689 19,794 44,483 27,595 -162 -312 -331 26,790 17,693 -1,192 16,502 -1,592 -778 140 1,423 -15,695 -16,502 25,661 21,368 47,029 28,333 -63 -354 -472 27,443 19,585 -1,201 18,385 -3,420 -694 116 1,579 -15,966 -18,385 26,600 22,724 49,324 29,794 -189 -168 -341 29,097 20,227 -1,226 19,001 -3,373 -662 101 1,633 -16,700 -19,001 9,634 5,250 758 5,616 74,897 1,789 5,043 102,987 8,355 1,039 7,882 6,859 17,871 42,006 13,471 47,510 102,987 13,118 5,409 579 8,867 77,047 1,443 4,817 111,280 7,456 1,844 9,149 6,578 19,275 44,302 15,437 51,541 111,280 22,695 5,536 667 5,400 84,462 1,408 5,389 125,557 9,268 1,497 10,334 7,508 19,566 48,172 17,012 60,373 125,557 19,650 5,342 714 5,700 93,268 1,669 5,897 132,240 9,951 1,515 11,316 7,654 16,967 47,403 18,539 66,297 132,240 20,668 5,767 771 6,041 101,416 1,805 6,293 142,760 10,727 1,724 12,409 7,354 18,424 50,640 19,967 72,153 142,760 22,336 6,224 832 6,339 109,176 1,845 6,446 153,198 11,345 1,851 13,185 7,736 19,847 53,964 21,317 77,918 153,198 25,831 6,675 892 6,837 116,096 1,891 6,971 165,193 12,442 1,817 14,150 8,232 21,425 58,066 22,886 84,241 165,193 29,282 7,140 955 7,262 122,993 2,064 7,382 177,078 13,136 1,911 15,159 8,520 23,059 61,785 24,501 90,792 177,078 Summary of P&L forecast Revenue EBITDA EBIT Net financial income (expense) Other income (expense) EBT Taxation Minorities Net Profit 71,238 37,016 22,153 -1,091 -220 20,842 -5,387 -4,505 10,950 Summary of Cash Flow forecast NOPLAT Depreciation Operating Cash Flow Net CAPEX ∆ in net working capital ∆ in other operating assets-liabilities Others Investing Cash Flow Core Business FCF Non-core FCF FCF to the Firm Change in excess cash Interest paid (received) Interest tax shield Change in debt Change in equity FINANCING CF Summary of Balance Sheet Forecast Cash and cash equivalents Accounts Receivable Inventories Other current asets Fixed assets Intangible assets Other non-current assets Total Assets Trade payables Taxes payables Other current liabilities Provisions/other non-current liabilities Total debts Total Liabilities Minority interest Equity attributable to owners Total Liabilitieis and Equity 2012 A Units: billion IDR | Source: Company Reports, Analyst’s Estimates PAGE 28/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT Appendix II – Additional Scenario Analysis Indonesia economy were to erode further Sluggish global economy recovery especially China has continued putting pressure on commodity prices due to significantly lower demand. Indonesia whose export derives mostly from commodity, such as coal, petroleum gases, palm oil, etc. has suffered continuously from this global economy contraction. On the other side, Indonesia has been massively importing services and products to support rapid growth and to meet demand of growing consumption; altogether this creates great imbalances in the current account and causes large deficit. In Q2 2013 Indonesia current account deficit hit at an all-time high of nearly 10 billion USD (4.4% of GDP) and had showed no meaningful recovery 75 (in spite of remarkably cheaper Rupiah, 76 export showed little improvement) in the third quarter . If export were to continue slumping in the future, overall country production may continue declining, unemployment and thus poverty would then inflate higher. Consequently, disposable income available to households and respective consumption in general would shrink significantly; companies including Telkom would be greatly affected. Graph 77 – China GDP Growth Rate Graph 78 – Indonesia Current Account Deficit Source: National Bureau of Statistics of China Source: Bank Indonesia Graph 79 – Indonesia Unemployment Rate Source: Badan Pusat Statistik Indonesia This growing concern may only worsen market sentiment, and foreign capital outflow would continue even more severely as foreign investors hardly gain their 77 confidence back. In turn, we might see Rupiah being penalized further , and subsequently inflation would continue rising. Additionally, there is a possibility that the government would cut its budget on subsidy expenditure – especially on fuel next year as it is running over budget largely this year of which the amount becomes 75 In contrary, India was able to recover noticeable as its account deficit improve to 1.2% GDP in third quarter from 4.8% GDP in second quarter. 76 Account deficit narrowed to only 3.8% of GDP in the third quarter. 77 Rupiah along with Indian Rupee were the most depreciated currencies against other foreign currency including the USD; as both countries endures the highest account deficit among other APAC countries, they are most vulnerable to the approaching FED tapering. PAGE 29/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT unsustainable (cutting budget may also be a necessary mean to restore Rupiah value). If subsidy on food, fuel and electricity were to be reduced again next year, prices and thus inflation would remain high (higher transportation cost would lead to higher end-products and or services, for instance). As consequence, domestic interest rates would be higher and very likely to remain high until inflation meets the target, in which may penalize growth and reduce consumption much further. In what regards additional risk associated with largely depreciated Rupiah, as also expressed by Telkom, slumping Rupiah may trigger modification of the current floating exchange rate policy in order to stabilize, maintain, or increase the Rupiah’s value; this modification may result in “substantially higher interest rates, liquidity shortages, and the withholding of additional financial assistance by multinational 78 lenders” (Telkom annual report 2012 - Risk Factors) . Lastly, next year presidential election may only bring another uncertainty; this additional political risk would not do any favour to Indonesian economy. To conclude; reduced consumption would adversely impact Telkom’s revenue through limited growth of its subscribers’ base and the reduction of the amount of telecommunication service used. Subsequently, unit price would have to adjust; indirectly, by giving more promotions as a mean to induce usage, or directly, by cutting unit price (per minute, SMS, etc.) as competition would become more irrational (assuming operators would fight harder to gain incremental subscribers from competitors due to limited growth in general). Collectively, ARPU would decline and revenue would be penalized. Lower unit price also implies lower operating margin and cash flow, which consequently would affect Telkom’s capability to expand its network capacity as cash available for CAPEX would be then limited. Historically, Telkom has been able to fund most of its investments using cash from operation, and has not relied heavily on debts. Decreasing cash available for investment would force Telkom to rely more on debt of which its associated cost would be presumably higher than it is today, hence Telkom would incur significantly higher financial expense, which in turn, lessen the net profit and/or dividend available for shareholder. As for the case of limited financial assistance, which implies difficulties in funding CAPEX, Telkom would suffer from network constraint which could result in increasing complaints and declining market share that leads to decreasing revenues. As such, we predict Telkom overall growth rate to be slower in the perpetuity. 78 Available on sub-section Macro Economic Risks, page 60, Telkom annual report 2012. PAGE 30/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT Appendix III – Indonesian Mobile Operators Table 20 - 2012 Mobile Operators in Indonesia Telkomsel Indosat XL-Axiata Axis Hutchison Bakrie Telecom Smartfren Sampoerna Telkom Total subscribers 125 59 46 16 22 12 11 3 Ownership Telkom (65%), SingTel (35%) Qatar Telecom (65%), State-owned (14%), Public (21%) Axiata Group (67%), Emirates Telco (13%), Public (20%) Saudi Telecom (80%), Maxis Communication (20%) Hutchison HK (60%), TPG-private equity (40%) Bakrie (23%), Raiffeisen Bank International AG (7%), Public (70%) Sinarmas (82%), Public (18%) Sampoerna Units: million users |Source: Companies’ Reports, Analyst’s Estimates Appendix IV – Broadband Tariff Comparison Table 21 - Speedy Postpaid Tariff Activation Monthly Fee (Rp) Charge (Rp) Limited Home 75,000 200,000 Limited Professional 75,000 400,000 Unlimited Office 75,000 750,000 Unlimited Internet Café 75,000 1,750,000 Monthly Usage Allowance 1.0 GB 3.0 GB Unlimited Unlimited Excess Usage Charge 175/MB 175/MB - Source: Company Reports Table 22 - Telkomsel Flash Tariff Telkomsel Flash Basic Advance Pro Quota 3 GB 8 GB 10 GB Tariff (Rp) 125,000 225,000 400,000 Source: Company Websites PAGE 31/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT Appendix V – Spectrum Efficiency Calculation and 3G Band Plan Graph 80 – 3G Band Plan Source: BRTI Table 23 - Spectrum Efficiency Calculation Telkomsel Indosat XL-Axis Bit efficiency 1.29 1.29 1.29 Busy hour average loading - Lbh 50% 50% 50% 0.256 0.256 0.256 20 20 20 Required user data rate (Mbps) - Rsub Overbooking factor No of sector per site - Nsec 3 3 3 23635 4993 19722 44.00% 18.75% 26.40% Required Bandwidth (BW) 14.19 28.62 10.20 Available BW - 3G Surplus/Deficit- Bandwidht 15.00 0.81 10.00 -18.62 15.00 4.80 No of site 3G-BTS Market Share 3G Source: KOMINFO, Analyst’s estimates Source: KOMINFO PAGE 32/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT Appendix VI – BTS Forecast By estimating BTS utilization rate and total data traffic production we could infer how many additional BTS required each year. In our CAPEX estimation, we incorporate several assumptions due to lack of information. Firstly, we assume that BTS utilization rate wouldn’t run for more than 90% (very efficient) swiftly in the near future. Since there are BTSs deployed in more rural or less populated area throughout the country that are less utilized, the overall average utilization rate must less than optimal; but for the longer run, we may expect utilization rate be higher than 90% by assuming that wealth and public infrastructure would be well dispersed thus promoting higher utilization in the suburban area. Furthermore, gradually increasing data capacity per BTS should be reasonable as 2G BTS would be fully 79 replaced by 3G/4G BTS with higher capacity in the future . Following table summarized our BTS forecast; Table 24 - BTS Forecast Total Capacity (TB) Expected Data Traffic (TB) Utilization Rate Total BTS 2012 A 109,572 51,938 47% 54,297 2013 E 157,474 96,059 61% 70,940 2014 F 240,239 180,179 75% 90,187 2015 F 316,189 272,067 86% 107,909 2016 F 429,018 386,117 90% 122,012 2017 F 558,208 513,551 92% 132,295 2018 F 666,535 626,543 94% 142,314 Source: Analyst’s estimates Secondly, we assume that “transmission equipment” net book value reported under the fixed assets caption, consist of simply BTS to provide cellular network services. In practice, transmission equipment may consist of other base station namely base station controller, base station subsystems, etc. But since the company only disclose the number of BTS deployed, we assume BTSs to already include all other related communication equipment. We could then estimate net book value for each BTS. The net book value is presumed to already reflect depreciation and deduction. Subsequently, we could estimate the value of BTS in the future by taking into account the upcoming depreciation expense. 79 Management indicates that Telkomsel will stop deploying 2G-BTS in the next 1-2 years. PAGE 33/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT Appendix VII – FOREX Risk on Investments Table 25 - Historical FOREX Impact on CAPEX USD/IDR Total CAPEX (billion IDR) % CAPEX in foreign currency as % revenue 2007 9,125 15,481 32% 26% 2008 9,661 21,356 55% 35% 2009 10,147 17,270 64% 26% 2010 9,059 13,380 54% 19% 2011 8,725 13,932 54% 20% 2012 9,328 16,260 35% 21% 2013 E 10,249 22,399 39% 27% Source: Company reports, Bloomberg, Analyst’s estimates Table 26 - Implicit FOREX Impact on Future CAPEX Spot 1Y Forward 2Y Forward 3Y Forward 4Y Forward 5Y Forward Dates IDR/USD 12/27/2013 12/29/2014 12/28/2015 12/27/2016 12/27/2017 12/27/2018 12,259 13,230 14,186 15,144 15,546 15,841 % different Impact on CAPEX 8% 7% 7% 3% 2% 3% 3% 3% 1% 1% Source: Bloomberg, Analyst’s estimates PAGE 34/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT Appendix VIII – Comparables Table 27 – Financial Summary Name Country CHINA TELECOM CORP LTD-H CHINA MOBILE LTD CHINA UNICOM HONG KONG LTD BHARTI AIRTEL LTD RELIANCE COMMUNICATIONS LTD TELEKOMUNIKASI INDONESIA PER INDOSAT TBK PT XL AXIATA TBK PT SOFTBANK CORP NTT DOCOMO INC KDDI CORP MAXIS BHD DIGI.COM BHD AXIATA GROUP BERHAD PHILIPPINE LONG DISTANCE TEL GLOBE TELECOM INC STARHUB LTD SINGAPORE TELECOM SK TELECOM KT CORP CHUNGHWA TELECOM CO LTD THAICOM PCL SHIN CORP PCL ADVANCED INFO SERVICE PCL Average Median China Hong Kong Hong Kong India India Indonesia Indonesia Indonesia Japan Japan Japan Malaysia Malaysia Malaysia Philippines Philippines Singapore Singapore South Korea South Korea Taiwan Thailand Thailand Thailand Mkt Cap (billionUSD) 39.8 207.1 35.1 21.2 4.4 17.4 1.8 3.6 102.9 70.8 53.3 16.6 11.4 17.6 12.8 4.8 5.7 44.9 17.8 7.6 24.0 1.3 7.1 19.2 31.2 17.5 EV/EBITDA TTM 4.07 3.25 2.85 7.96 10.4 5.44 3.89 6.84 11.18 4.54 6.03 13.64 12.81 8.66 7.72 7.49 10.22 12.23 6.11 4.25 8.61 11.41 62.26 10.12 7.8180 7.84 P/E D/EV 14.54 9.65 21.21 63.4 22.88 13.91 81.28 29.26 20.42 13.71 14.73 29.51 26.7 22.64 17.37 60.89 19.15 15.9 9.15 14.42 18.22 28.22 15.38 17.47 20.8181 18.69 0.35 0.04 0.41 0.37 0.6 0.09 0.53 0.3 0.49 0.03 0.13 0.12 0.03 0.2 0.17 0.25 0.09 0.13 0.28 0.64 0 0.18 0.03 0.03 0.23 0.18 Source: Bloomberg Graph 81 – ROIC (last filing) vs. PE (TTM) 80 81 Excluding Shin Corp Excluding Indosat and Globe Telecom Source: Bloomberg PAGE 35/36 PT. TELEKOMUNIKASI INDONESIA COMPANY REPORT Disclosures and Disclaimer Research Recommendations Buy Expected total return (including dividends) of more than 15% over a 12-month period. Hold Expected total return (including dividends) between 0% and 15% over a 12-month period. Sell Expected negative total return (including dividends) over a 12-month period. This report was prepared by Michael Tanjung, a student of the NOVA School of Business and Economics, following the Masters in Finance Equity Research – Field Lab Work Project, exclusively for academic purposes. Thus, the author, which is a Masters in Finance student, is the sole responsible for the information and estimates contained herein and for the opinions expressed, which reflect exclusively his/her own personal judgement. This report was supervised by Professor Rosário André (registered with Comissão do Mercado de Valores Mobiliários as financial analyst) who revised the valuation methodology and the financial model. All opinions and estimates are subject to change without notice. NOVA SBE or its faculty accepts no responsibility whatsoever for the content of this report nor for any consequences of its use. The information contained herein has been compiled by students from public sources believed to be reliable, but NOVA SBE or the students make no representation that it is accurate or complete, and accept no liability whatsoever for any direct or indirect loss resulting from the use of this report or its content. The author hereby certifies that the views expressed in this report accurately reflect his/her personal opinion about the subject company and its securities. He/she has not received or been promised any direct or indirect compensation for expressing the opinions or recommendation included in this report. The author of this report may have a position, or otherwise be interested, in transactions in securities which are directly or indirectly the subject of this report. NOVA SBE may have received compensation from the subject company during the last 12 months related to its fund raising program. Nevertheless, no compensation eventually received by NOVA SBE is in any way related to or dependent on the opinions expressed in this report. The Nova School of Business and Economics, though registered with Comissão do Mercado de Valores Mobiliários, does not deal for or otherwise offers any investment or intermediation services to market counterparties, private or intermediate customers. This report may not be reproduced, distributed or published without the explicit previous consent of its author, unless when used by NOVA SBE for academic purposes only. At any time, NOVA SBE may decide to suspend this report reproduction or distribution without further notice. PAGE 36/36