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Northern Data
ISIN DE000A0SMU87
|WKN A0SMU8
Market cap (in EUR)
521 m
Country
Germany
Sector
Finance
Dividend yield
0.00%
Overview
Quote
Description
Northern Data AG develops and operates global infrastructure solutions in the field of high-performance computing. The firm, with its customer-specific solutions, provides the infrastructure for HPC applications in areas, such as bitcoin mining, blockchain, artificial intelligence, big data analytics, and Internet of things or rendering. The company was founded by Knut Adermann and is headquartered in Frankfurt, Germany.
Finance Specialty Finance and Services Specialty Finance Germany
Chart
Financials
Key metrics
| Market capitalisation, EUR | 521 m |
| EPS, EUR | - |
| P/B ratio | 1.2 |
| P/E ratio | 1.3 |
| Dividend yield | 0.00% |
Income statement (2025)
| Revenue, EUR | 80 m |
| Net income, EUR | -483 m |
| Profit margin | -603.09% |
Performance
Returns overview
| YTD | -60.53% |
| 1 month | -55.22% |
| 3 months | -39.46% |
| 6 months | -57.47% |
| 1 year | -77.85% |
| 3 years | -68.77% |
| 5 years | -92.56% |
| Since inception (MAX) | -89.16% |
| 2025 | -65.54% |
| 2024 | +71.90% |
| 2023 | +331.29% |
| 2022 | -92.04% |
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 | 77.14% |
| Volatility 3 years | 73.28% |
| Volatility 5 years | 84.12% |
| Return per risk 1 year | -1.01 |
| Return per risk 3 years | -0.44 |
| Return per risk 5 years | -0.48 |
| Maximum drawdown 1 year | -78.93% |
| Maximum drawdown 3 years | -88.07% |
| Maximum drawdown 5 years | -94.87% |
| Maximum drawdown since inception | -96.04% |
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.