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Mercedes-Benz Group AG
ISIN DE0007100000
|WKN 710000
Market cap (in EUR)
43 538 M
Country
Allemagne
Sector
Produits de consommation cyclique
Dividend yield
7,74%
Overview
Quote
Description
Le groupe Mercedes-Benz AG fabrique et distribue des voitures haut de gamme. Il exerce ses activités au travers des segments suivants : Mercedes-Benz Cars, Mercedes-Benz Vans et Mercedes-Benz Mobility : Mercedes-Benz Cars, Mercedes-Benz Vans et Mercedes-Benz Mobility. Le segment des voitures Mercedes-Benz comprend les marques Mercedes-AMG, Mercedes-Maybach et Mercedes-EQ. Le segment Mercedes-Benz Vans se concentre sur la vente de fourgonnettes sous la marque Mercedes-Benz. Le segment Mercedes-Benz Mobility soutient les ventes des marques de véhicules. L'entreprise a été fondée par Gottlieb Daimler et Carl Benz en 1926 et son siège social se trouve à Stuttgart, en Allemagne.
Produits de consommation cyclique Véhicules et pièces grand public Allemagne
Chart
Financials
Key metrics
| Market capitalisation, EUR | 43 538 M |
| EPS, EUR | 5,25 |
| P/B ratio | 0,5 |
| P/E ratio | 8,6 |
| Dividend yield | 7,74% |
Compte de résultat (2025)
| Revenue, EUR | 132 214 M |
| Net income, EUR | 5 141 M |
| Profit margin | 3,89% |
Quel ETF contient Mercedes-Benz Group AG ?
There are 73 ETFs which contain Mercedes-Benz Group AG. All of these ETFs are listed in the table below. The ETF with the largest weighting of Mercedes-Benz Group AG is the iShares STOXX Europe 600 Automobiles & Parts UCITS ETF (DE) EUR (Dist).
Performance
Returns overview
| YTD | -33.27% |
| 1 month | -15.25% |
| 3 months | -11.11% |
| 6 months | -24.10% |
| 1 year | -27.27% |
| 3 years | -37.67% |
| 5 years | -47.67% |
| Since inception (MAX) | -49.30% |
| 2025 | +12.50% |
| 2024 | -14.32% |
| 2023 | +1.64% |
| 2022 | -9.04% |
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%.
Risk overview
| Volatility 1 year | 24.62% |
| Volatility 3 years | 24.87% |
| Volatility 5 years | 27.35% |
| Return per risk 1 year | -1.11 |
| Return per risk 3 years | -0.59 |
| Return per risk 5 years | -0.44 |
| Maximum drawdown 1 year | -35.55% |
| Maximum drawdown 3 years | -47.92% |
| Maximum drawdown 5 years | -56.19% |
| Maximum drawdown since inception | -76.81% |
Rolling 1 year volatility
Latest articles
— Data provided by Trackinsight, etfinfo, Xignite Inc., gettex, FactSet and justETF GmbH. Quotes are either real-time (gettex) or 15 minutes delayed stock exchange quotes or NAVs (daily published by the fund provider). By default, ETF returns include dividend payments (if applicable). There is no warranty for completeness, accuracy and correctness for the displayed information.