Investor Perspective CDMA450 in Asia - cdg.org · Telkomsel EBITDA Margin Indonesia Penetration...

25
Investor Perspective Sundeep Bihani 852 2869 3393 Nov, 2004 CDMA450 in Asia

Transcript of Investor Perspective CDMA450 in Asia - cdg.org · Telkomsel EBITDA Margin Indonesia Penetration...

Investor Perspective

Sundeep Bihani852 2869 3393

Nov, 2004

CDMA450 in Asia

Table of Contents

uLehman Brothers Asian Telecom Coverage

uBetter Understanding Mobile Growth

uBetter Understanding Mobile Profitability

uHow CDMA450 Solves Growth Versus Profitability Dilemma

1

Lehman Brothers’ Asian Telecom CoverageSTOCKS COVERED

Ope

rato

rE

qpt

Inte

rnet

AsiaSat BhartiChina Mobile HK China Telecom HKChina Unicom HKChunghwa TelecomHutchisonIndosat Korea TelecomKT freetelLG TelecomM1PCCWPT TelkomS K TelecomSing TelSmartoneTelstra

AcctonD-linkTCL InternationalUTStarcomZyxelBYD*BDTel*ZTE*

NeteaseSinaSohu*Recent Coverage

2

Why the Eco-System?

uHistorically, investors examined telco services, telco equipmentquite discretely

uIn attempting to better interpolate data points such as growth capabilities of a network, profit potential, network limitations, investors are increasingly covering equipment to understand services, and vice-versa…

– Example – Chinese subscriber growth in 2003 was largely underestimated, as services investors failed to track the impact of falling handset prices

3

Better Understanding Mobile Growth

uGrowth

– 2003 Net Add Forecasts in Jan, 2003, Versus Actuals

– Likely Reasons for Variation

– Lehman’s Work to Better Predict Growth

4

Growth - 2003 Net Add Forecasts in Jan, 2003, Versus Actuals

+10%Indonesia

+23%Singapore

+22%Hong Kong

+55%India

+10%China

Diff. 03 Net Adds, Forecast and Actual

Analysts and investors have consistently underestimated the growth potential in emerging

markets.

5

Likely Reasons for Variation

u One Hand Clapping – Failure to Track Declining Handset Pricing and its Impact on Net Adds

u Underestimation of Demand Elasticity:– Operator-Initiated Price Cuts

– Regulatory Initiative (e.g. – CPP)u Pace of Fixed Line Substitution

u Unanticipated Competitive Decisions in Market, e.g.:– China

• China Telecom, China Netcom Push PHS• China Unicom, China Mobile Implement “Quasi-CPP”

– India• Marketing Push by Reliance Infocomm

6

-

2,000

4,000

6,000

8,000

Cambo

dia

Vietna

m India

Indon

esia

Philip

pines Chin

a

Thaila

nd

Per

Cap

ita

GD

P (

US

$ P

PP

)

0.0%

10.0%

20.0%

30.0%

40.0%

Penetration

GDP Per Capita (PPP) Implied Potential

Source: World Bank, Lehman Brothers estimates

7

How Fast Can Mobile Subscribers Grow?

Ø Mobile Penetration added in every quarter is a good way to measure speed of a market’s growth

Source: Company data, Lehman Brothers estimates

0.0%

0.5%

1.0%

1.5%

2.0%

1Q02 2Q02 3Q02 4Q02 1Q03 2Q03 3Q03 4Q03

China(incl PAS) India Indonesia (incl Flexi)

8

Experience of Emerging Markets

Source: Gartner, Lehman Brothers estimates

0%

10%

20%

30%

40%

1999 2000 2001 2002 2003

Mob

ile P

enet

ratio

n

China Thailand Phillipines Indonesia India

9

Experience of Emerging Markets

Source: Gartner, Lehman Brothers estimates

0.0%

0.5%

1.0%

1.5%

2.0%

2.5%

1999 2000 2001 2002 2003

Mob

ile S

pend

ing

as %

of G

DP

China Thailand Phillipines Indonesia India

10

India & Indonesia lag China, Thailand & Philippines

Source: Gartner, Lehman Brothers estimates

ØT defined as the time when mobile penetration is 3%-5%

0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

30.0%

T T+1 T+2 T+3 T+40.0%

0.5%

1.0%

1.5%

2.0%

2.5%

Avg - Penetration (LHS) Avg- % of GDP Spent in Mobile Services (RHS)

Indonesia is here currently

India is here currently

11

Mobile Subscriber Projection Methodology

Source: Lehman Brothers estimates

ØIncorporates the learning of other emerging markets

ØNeed to take demographics into account (Eg. Poverty Levels)

ØMobile services spending as a % of GDP peaks at a certain point

§Between 2-2.5% of GDP

0.0%

0.5%

1.0%

1.5%

2.0%

2.5%

3.0%

TT+

1T+

2T+

3T+

4T+

5T+

6T+

7T+

8T+

9T+

10T+

11T+

12

12

Better Understanding Mobile Profitability

EBITDA MarginMobile 2003E 2003A DifferenceChina Mobile 57.5% 56.6% -0.9%China Unicom 39.2% 36.8% -2.4%Indosat 52.1% 53.1% 1.0%KT Freetel 31.8% 38.8% 7.0%SK Telecom 46.2% 48.0% 1.8%LG Telecom 31.3% 32.2% 0.9%Smartone 22.2% 23.2% 1.0%Mobile One 38.2% 40.2% 2.0%Bharti 31.5% 33.5% 2.0%Peoples 28.9% 29.9% 1.0%

13

Likely Reasons for Variation

uFar less expensive expansion costs

– Investors finding it increasingly difficult to model incrementalprofitability as networks expand

uThe role of handset functionality in boosting ARPU and margins (see Korean example below)

uCost cutting

– Very limited visibility into how SG&A, network operations costs are managed

uARPU enhancements from data, particularly SMS take-up

uScale economies on stronger than expected volume growth

14

Falling ARPU Finally Brings Down EBTIDA Margins

90

95

100

105

110

115

120

125

2Q02A 3Q02A 4Q02A 1Q03A 2Q03A 3Q03A 4Q03A0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

Quarterly GSM ARPU EBITDA Margin

RMB

China Mobile Experience

Source: China Mobile

15

Growth Still Strong, Profitability Falling

-

1.00

2.00

3.00

4.00

5.00

6.00

7.00

8.00

2Q02A 3Q02A 4Q02A 1Q03A 2Q03A 3Q03A 4Q03A0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

Net adds EBITDA Margin

Source: China Mobile

China Mobile Experience

16

Cities Have High Penetration – Rural Areas Next?

Source: Lehman Brothers research

GDP Per Capita (In RMB)As at 2003

Shanghai 160.1 73.3 45.8% 109.6 68.4% 43,898 Beijing 137.2 68.4 49.8% 110.3 80.3% 30,725 Tianjin 99.6 36.0 36.2% 38.1 38.2% 24,170 Zhejiang 457.7 165.7 36.2% 195.1 42.6% 18,185 Guangdong 772.2 256.7 33.2% 400.7 51.9% 16,232 Jiangsu 729.7 204.3 28.0% 191.8 26.3% 15,542 Fujian 341.3 112.3 32.9% 94.2 27.6% 14,577 Liaoning 416.1 127.9 30.7% 107.8 25.9% 14,025 Shandong 897.0 209.1 23.3% 150.6 16.8% 12,577 Heilongjiang 378.1 87.6 23.2% 84.9 22.4% 10,999 Hebei 664.6 134.1 20.2% 125.1 18.8% 9,844 Xinjiang 190.5 41.2 21.6% 41.7 21.9% 9,053 Jilin 266.9 59.6 22.3% 62.9 23.6% 9,001 Hubei 598.8 88.9 14.8% 86.8 14.5% 8,985 Hainan 80.3 16.3 20.3% 13.6 16.9% 8,427 Inner Mongolia 235.9 43.0 18.2% 47.2 20.0% 7,820 Hunan 662.9 98.4 14.8% 84.0 12.7% 7,090 Henan 947.9 136.1 14.4% 107.1 11.3% 6,951 Qinghai 52.9 7.6 14.4% 9.9 18.6% 6,940 Chongqing 307.2 53.3 17.4% 61.3 20.0% 6,855 Shanxi 324.6 67.6 20.8% 59.4 18.3% 6,638 Tibet 26.7 2.7 10.3% 3.2 12.0% 6,580 Jiangxi 415.2 63.0 15.2% 53.2 12.8% 6,295 Anhui 627.8 99.9 15.9% 69.7 11.1% 6,282 Ningxia 57.2 10.0 17.5% 12.1 21.2% 6,268 Sichuan 857.0 112.8 13.2% 119.0 13.9% 6,227 Shaanxi 367.4 67.2 18.3% 61.7 16.8% 5,965 Yunnan 433.3 48.2 11.1% 62.0 14.3% 5,593 Guangxi 475.0 63.9 13.4% 63.9 13.5% 5,507 Gansu 259.3 40.2 15.5% 27.4 10.6% 4,852 Guizhou 383.7 33.3 8.7% 33.0 8.6% 3,405 Average 407.2 84.8 21.9% 86.7 23.6% 11,145

Wireline Penetration Rate

Wireless Penetration Rate

Wireless Sub (In Mil)Provinces

Wireline Sub (In Mil)

Total Pop (In Mil)uWealthy markets (e.g

Beijing, Shanghai, Guangdong) have penetration of 50- 80%

u Rural provinces’penetration remains low e.g - Guizhou, Tibet, Henan

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What Does This Mean About Future Growth in China and Other Developing Markets?

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GDP in US$ PPP

-

2,000

4,000

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8,000

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dia

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m India

Indon

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Philipp

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China

Thaila

nd

Per

Cap

ita

GD

P (

US

$ P

PP

)

Cambodia VietnamIndia Indonesia

Low Cost Solution Necessary For Profitability Growth

Source: World Bank, Lehman Brothers estimates

19

CDMA450 Bodes Well for Developing Areas

Source: Asia Development Bank, Lehman Brothers research

GDP Per Capita (US$) 1990 1995 1998 1999 2000 2001 2002 2003Developing AreasChina 197 585 760 789 853 909 960 1,037 India 146 292 405 443 472 506 547 590 Indonesia 136 270 549 625 710 805 884 937 Vietnam 42 212 319 348 379 408 448 471 Developed AreasTaiwan 3,909 6,455 9,970 12,424 12,818 13,242 12,939 13,182 Singapore 8,428 13,004 19,990 20,707 20,682 23,253 21,806 22,157 Hong Kong 6,412 13,206 22,831 25,075 24,182 24,782 24,383 24,011

•Where do the next 100m users reside? What is their wealth profile?

20

CDMA450 Bodes Well for Developing Areas

Source: Asia Development Bank, Lehman Brothers research

Proverty (% of Population below $1 a day)

Rural Population (% of Total Population)

China 16.10% 62.40%India 34.70% 71.90%Indonesia 7.20% 57.00%Vietnam 17.70% 75.10%Cambodia n.a 82.00%Pakistan 13.40% 66.20%

•Where do the next 100m users reside? What is their wealth profile?

21

Lower Cost Options Such as CDMA450 Promising...

…and Necessary !

The investor view:

22

The Promise of Growth Plus Profitability

58%

60%

62%

64%

66%

68%

70%

72%

74%

76%

78%

80%

1Q02A 2Q02A 3Q02A 4Q02A 1Q03A 2Q03A 3Q03A 4Q03A0.0%

1.0%

2.0%

3.0%

4.0%

5.0%

6.0%

7.0%

8.0%

9.0%

Telkomsel EBITDA Margin Indonesia Penetration

Source:Lehman Brothers research

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DisclaimerKey to Investment Opinions: Stock Rating1 - Overweight - The stock is expected to outperform the unweighted expected total return of the relevant country index over a 12-month investment horizon. 2 - Equal weight - The stock is

expected to perform in line with the unweighted expected total return of the relevant country index over a 12-month investment horizon. 3 - Underweight - The stock is expected to underperform the unweighted expected total return of the relevant country index over a 12-month investment horizon. RS - Rating Suspended - The rating and target price have been suspended temporarily to comply with applicable regulations and/or firm policies in certain circumstances including when Lehman Brothers is acting in an advisory capacity in a merger or strategic transaction involving the company.

Sector View1 - Positive - sector fundamentals/valuations are improving.2 - Neutral - sector fundamentals/valuations are steady, neither improving nor deteriorating.3 - Negative - sector

fundamentals/valuations are deteriorating.Stock Ratings From February 2001 to August 5, 2002 (sector view did not exist):This is a guide to expected total return (price performance plus dividend) relative to the total return of the stock’s local market over the next 12 months.1=Strong Buy - expected to outperform the market by 15 or more percentage points. 2=Buy- expected to outperform the market by 5-15 percentage points.3=Market Perform - expected to perform in line with the market, plus or minus 5 percentage points. 4=Market Underperform - expected to underperform the market by 5-15 percentage points. 5=Sell - expected to underperform the market by 15 or more percentage points.

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