Porsche Automobil Holding SE

ISIN DE000PAH0038

WKN PAH003

Market cap (in EUR)

8,498 m

Country

Germany

Sector

Consumer Cyclicals

Dividend yield

5.44%

Overview

Quote

Description

Porsche Automobil Holding SE engages in the development, manufacture, and trading of automobiles. It operates through the Core Investments and Portfolio Investments segments. The company was founded on March 1, 1973 and is headquartered in Stuttgart, Germany.

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Consumer Cyclicals Consumer Vehicles and Parts Germany

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Financials

Key metrics

Market capitalisation, EUR	8,498 m
EPS, EUR	0.31
P/B ratio	0.2
P/E ratio	89.5
Dividend yield	5.44%

Income statement (2025)

Revenue, EUR	2,982 m
Net income, EUR	2,651 m
Profit margin	88.90%

What ETF is Porsche Automobil Holding SE in?

There are 23 ETFs which contain Porsche Automobil Holding SE. All of these ETFs are listed in the table below. The ETF with the largest weighting of Porsche Automobil Holding SE is the Xtrackers MDAX ESG Screened UCITS ETF 1D.

ETF	Weight	Investment focus	Fund size (in m EUR)
UBS Core MSCI World UCITS ETF USD acc	0.01%	Equity World	10,457
iShares MSCI World UCITS ETF (Dist)	0.00%	Equity World	8,148
Xtrackers Euro Stoxx Quality Dividend UCITS ETF 1D	0.78%	Equity Europe Dividend	811
Amundi MSCI World Swap II UCITS ETF Dist	0.00%	Equity World	8,649
Xtrackers MSCI Europe UCITS ETF 1D	0.03%	Equity Europe	394
iShares MSCI ACWI UCITS ETF USD (Acc)	0.00%	Equity World	30,793
iShares STOXX Europe 600 Automobiles & Parts UCITS ETF (DE) EUR (Dist)	2.29%	Equity Europe Automobile	179
iShares Edge MSCI World Value Factor UCITS ETF USD (Dist)	0.10%	Equity World Value	369
iShares Core MSCI Europe UCITS ETF EUR (Dist)	0.03%	Equity Europe	10,808
Amundi MDAX UCITS ETF Dist	2.87%	Equity Germany Mid Cap	183
UBS Core MSCI World UCITS ETF hEUR acc	0.01%	Equity World	949
iShares Edge MSCI Europe Value Factor UCITS ETF EUR (Dist)	0.29%	Equity Europe Value	123
Xtrackers MSCI World UCITS ETF 1D	0.01%	Equity World	4,682
Xtrackers MSCI EMU UCITS ETF 1D	0.06%	Equity Europe	2,017
iShares MSCI World Consumer Discretionary Sector Advanced UCITS ETF USD (Dist)	0.04%	Equity World Consumer Discretionary	101
Amundi MSCI EMU Value Factor UCITS ETF Dist	0.13%	Equity Europe Value	260
iShares MSCI World Islamic UCITS ETF	0.02%	Equity World Islamic Investing	1,375
UBS Core MSCI World UCITS ETF USD dis	0.01%	Equity World	1,949
Amundi Core MSCI EMU UCITS ETF Dist	0.07%	Equity Europe	773
Xtrackers MDAX ESG Screened UCITS ETF 1D	3.18%	Equity Germany Mid Cap	89
Amundi Core MSCI Europe UCITS ETF Dist	0.04%	Equity Europe	459
iShares MSCI Europe ex-UK UCITS ETF	0.04%	Equity Europe	1,529
UBS Core MSCI World UCITS ETF hGBP dis	0.01%	Equity World	112

Performance

Returns overview

YTD	-29.76%
1 month	+1.71%
3 months	-13.04%
6 months	-24.19%
1 year	-25.13%
3 years	-43.33%
5 years	-65.95%
Since inception (MAX)	-61.91%
2025	+9.10%
2024	-21.03%
2023	-9.70%
2022	-38.83%

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).