Telkom Indonesia Persero

ISIN ID1000129000

WKN A1W4LG

Overview

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Description

PT Telkom Indonesia (Persero) Tbk es un holding dedicado a la prestación de servicios de telecomunicaciones, información y tecnología. Opera a través de los siguientes segmentos: Móvil, Consumo, Empresa, Negocios Mayoristas e Internacionales (WIB) y Otros. El segmento móvil ofrece servicios móviles de voz, SMS, servicios de valor añadido y banda ancha móvil. El segmento de Consumo ofrece servicios de telecomunicaciones fijas por cable, televisión de pago, datos y servicios de Internet a clientes particulares. El segmento empresarial ofrece soluciones integrales a empresas e instituciones. El segmento WIB se compone de servicios de interconexión, líneas arrendadas, satélite, VSAT, acceso de banda ancha, servicios de tecnología de la información, datos y servicios de Internet a empresas e instituciones de Otros Operadores Licenciados. El segmento Otros se ocupa de los segmentos operativos de servicios digitales que no cumplen los requisitos de divulgación de un segmento sobre el que deba informarse. La empresa se fundó el 24 de septiembre de 1991 y tiene su sede en Yakarta, Indonesia.

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Telecomunicaciones Otros servicios de telecomunicaciones Indonesia

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Financials

Key metrics

Market capitalisation, EUR	13.227,51 m
EPS, EUR	0,01
P/B ratio	1,86
P/E ratio	11,11
Dividend yield	7,00%

Income statement (2023)

Revenue, EUR	9.065,50 m
Net income, EUR	1.492,12 m
Profit margin	16,46%

What ETF is Telkom Indonesia Persero in?

There are 108 ETFs which contain Telkom Indonesia Persero. All of these ETFs are listed in the table below. The ETF with the largest weighting of Telkom Indonesia Persero is the HSBC MSCI Indonesia UCITS ETF USD.

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ETF	Weight	Investment focus	Fund size (in m EUR)
HSBC MSCI Indonesia UCITS ETF USD	10.77%	Equity Indonesia	144
SPDR S&P Emerging Markets Dividend Aristocrats UCITS ETF (Dist)	4.34%	Equity Emerging Markets Dividend	121
HSBC MSCI Emerging Markets Value ESG UCITS ETF USD (Acc)	0.99%	Equity Emerging Markets Value	46
Franklin Emerging Markets UCITS ETF	0.73%	Equity Emerging Markets Multi-Factor Strategy	42
iShares MSCI Global Telecommunication Services UCITS ETF USD (Acc)	0.64%	Equity World Telecommunication	6
WisdomTree Emerging Markets Equity Income UCITS ETF	0.53%	Equity Emerging Markets Dividend	103
WisdomTree Emerging Markets Equity Income UCITS ETF Acc	0.53%	Equity Emerging Markets Dividend	20
HSBC MSCI Emerging Markets Islamic ESG UCITS ETF USD (Acc)	0.45%	Equity Emerging Markets Social/Environmental Islamic Investing	40
First Trust Indxx NextG UCITS ETF Acc	0.43%	Equity World Technology Innovation	4
iShares MSCI Emerging Markets Islamic UCITS ETF	0.43%	Equity Emerging Markets Islamic Investing	235

Showing 1 to 10 of 108 entries

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Performance

Returns overview

YTD	-17.65%
1 month	+0.00%
3 months	-12.50%
6 months	-26.32%
1 year	-26.32%
3 years	-53.33%
5 years	-22.22%
Since inception (MAX)	-22.22%
2024	-29.17%
2023	+9.09%
2022	-4.35%
2021	+15.00%

Monthly returns in a heat map

Risk

Risk metrics in this section:

Volatility, annualised, measured for 1, 3 and 5 year periods. The annualised volatility reflects the degree of price fluctuations during a one year period. The higher the volatility, the more significantly the price of the asset (stock, ETF, etc.) has changed in the past. Assets with higher volatility are generally considered more risky. We calculate the volatility based on the data for the past 1, 3 and 5 years so that you can see if price fluctuations for the ETF became stronger or weaker over time.
Return per risk for 1, 3 and 5 year periods. This is the annualised (i.e. converted to a one year period) past return divided by the past annualised volatility. The metric puts the historical return of an asset in relation to its historical risk and gives you a retrospective indication of the degree of price fluctuation you had to bear with in order to obtain the return. We calculate this parameter for 1, 3 and 5 year periods to display its evolution over time.
Maximum drawdown for a period. This shows the worst possible loss an investor could have suffered during the respective period, by first buying and subsequently selling the asset at the least favourable prices. For example, if there was the following sequence of daily ETF prices: 10€, 5€, 12€, 20€, an investor would have suffered the worst loss by buying for 10€ and subsequently selling for 5€. Therefore in this case the maximum drawdown would be (5€ - 10€)/10€ = -50%.

ETF returns include dividend payments (if applicable).