^GDAXI

25,297.13

▼ -0.22%

Stock Index

DAX

Index Symbol: ^GDAXI

Total Market Capitalization (USD): $2.554 Trillion

format_list_bulleted DAX Companies List

DAX Data & Tools

DAX Index - 1 Year Evolution

1 Year Return

▲ +20.52%

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Daily close values, with moving averages and volumes
Moving averages:

  • — EMA20
  • — SMA50
  • — SMA200

DAX Index Description

The DAX - Deutscher Aktienindex (German stock index) - is a stock market index consisting of the 40 major German blue-chip companies trading on the Frankfurt Stock Exchange. Benchmark index of the German market, DAX measures the performance of the Prime Standard’s 40 largest German companies in terms of order book volume and market capitalization.

On Nov 24, 2020, Deutsche Börse announced an expansion of the DAX from 30 to 40 members.

DAX Index Data

Open 25,336.01
High 25,354.11
Low 25,198.53
Close 25,297.13
Volume 62,873,300
Previous Close 25,352.39
1-Day Change -55.26
1-Year Change 4306.82
Average Daily Volume 63,596,378
52-Week High 25,420.66
52-Week Low 19,670.88

Top 10 DAX Companies by Market Cap as of Jan. 1, 2026

Company Stock(s) Sector Industry Market Cap (USD)
SAP SAP Technology Software—Application $275.73 B
Siemens SIE Industrials Specialty Industrial Machinery $221.77 B
Airbus AIR Industrials Aerospace & Defense $188.84 B
Allianz SE ALV Financials Insurance—Diversified $175.55 B
Deutsche Telekom DTE Communication Services Telecom Services $163.47 B
Siemens Energy ENR Utilities Utilities—Independent Power Producers $123.41 B
Munich Re MUV2 Financials Insurance—Reinsurance $84.94 B
Rheinmetall AG RHM Industrials Industrial Distribution $83.95 B
Deutsche Bank AG DBK Financials Banks—Regional $77.03 B
Mercedes-Benz Group AG MBG Consumer Discretionary Auto Manufacturers $70.03 B
format_list_bulleted List of all DAX companies

Top 10 DAX Companies Concentration by Market Cap

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Disclaimer

All information and data available on Disfold is NOT FINANCIAL ADVICE. Invest at your own risk!

Past performance is not a guarantee of future performance. Patterns tend to repeat themselves, but they don't necessarily have to.

Successful backtests on past data do not guarantee the future success of the strategy backtested, especially as backtest overfitting may occur: when the price of a stock may fit particularly well a given trading strategy over a given period, but not necessarily outside of that period. Besides, backtests do not account for exact market conditions and may yield significantly different results in real trading practice (fees, slippage...).

Furthermore, even though Disfold strives to provide the best and most accurate data, errors can occur in Disfold's systems, or in our data providers' systems.

Please conduct your own due diligence to verify insights.