Overview
Quote
Description
SFC Energy AG engages in the provision of hybrid solutions to the stationary and portable power generation markets. The firm develops power generation systems and their components for off-grid and on-grid applications based on fuel cell and other technologies. It operates through the following segments: Clean Energy and Clean Power Management. The Clean Power Management segment encompasses the development, manufacture and sale of power management and electronics solutions such as voltage converters, coils and frequency converters for operating high-tech devices. The Clean Energy segment includes the development, manufacture, including complete system assembly, sale and supply of mobile and off-grid fuel-cell-based energy solutions for diverse end customer markets. The company was founded by Manfred Stefener in February 2000 and is headquartered in Munich, Germany.
Industrials Industrial Manufacturing Electrical Equipment and Power Systems Germany
Chart
Financials
Key metrics
| Market capitalisation, EUR | 233 m |
| EPS, EUR | -0.02 |
| P/B ratio | 1.7 |
| P/E ratio | 70.7 |
| Dividend yield | 0.00% |
Income statement (2024)
| Revenue, EUR | 145 m |
| Net income, EUR | 9 m |
| Profit margin | 6.49% |
Performance
Returns overview
| YTD | +11.35% |
| 1 month | +12.90% |
| 3 months | -20.06% |
| 6 months | -40.85% |
| 1 year | -18.79% |
| 3 years | -45.44% |
| 5 years | -15.98% |
| Since inception (MAX) | +29.25% |
| 2025 | -28.58% |
| 2024 | -11.41% |
| 2023 | -21.64% |
| 2022 | -11.01% |
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 | 50.63% |
| Volatility 3 years | 43.06% |
| Volatility 5 years | 52.61% |
| Return per risk 1 year | -0.37 |
| Return per risk 3 years | -0.42 |
| Return per risk 5 years | -0.07 |
| Maximum drawdown 1 year | -55.36% |
| Maximum drawdown 3 years | -56.10% |
| Maximum drawdown 5 years | -66.68% |
| Maximum drawdown since inception | -66.68% |
Rolling 1 year volatility
— 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.
