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SMA Solar Technology
ISIN DE000A0DJ6J9
|WKN A0DJ6J
Market cap (in EUR)
1 680 M
Country
Allemagne
Sector
Industriels
Dividend yield
1,60%
Overview
Quote
Description
SMA Solar Technology AG se consacre au développement, à la production et à la vente d'onduleurs solaires et de systèmes de surveillance pour les systèmes d'énergie solaire. Elle exerce ses activités dans les secteurs suivants : Résidentiel, Commercial, Utilités, Stockage et Énergie numérique. Le segment résidentiel s'adresse aux marchés mondiaux des petits systèmes photovoltaïques (PV) avec ou sans connexion à une solution de maison intelligente. Le segment commercial se concentre sur les marchés mondiaux des systèmes photovoltaïques de taille moyenne avec ou sans solution de gestion de l'énergie. Le segment Utility couvre les marchés internationaux des centrales photovoltaïques avec ses puissants onduleurs de branche de la famille de produits sunny-high power et les onduleurs centraux de la famille de produits sunny central. Le segment Stockage comprend la technologie des systèmes pour l'intégration des systèmes de stockage de batteries de toutes tailles. Le segment de l'énergie numérique comprend coneva, qui développe des services énergétiques numériques pour les particuliers et les entreprises, et emerce GmbH, qui s'occupe des canaux de vente en ligne pour certains marchés. La société a été fondée par Reiner Wettlaufer, Peter Drews, Werner Kleinkauf et Günther Cramer en 1981 et son siège social se trouve à Niestetal, en Allemagne.
Industriels Fabrication industrielle Équipements électriques et systèmes d'alimentation Allemagne
Chart
Financials
Key metrics
| Market capitalisation, EUR | 1 680 M |
| EPS, EUR | -5,22 |
| P/B ratio | 4,6 |
| P/E ratio | 5,9 |
| Dividend yield | 1,60% |
Income statement (2025)
| Revenue, EUR | 1 516 M |
| Net income, EUR | -181 M |
| Profit margin | -11,95% |
What ETF is SMA Solar Technology in?
There are 5 ETFs which contain SMA Solar Technology. All of these ETFs are listed in the table below. The ETF with the largest weighting of SMA Solar Technology is the iShares Global Clean Energy Transition UCITS ETF USD (Dist).
| ETF | Weight | Investment focus | Fund size (in m EUR) |
|---|---|---|---|
| iShares Global Clean Energy Transition UCITS ETF USD (Dist) | 0,19% | Equity World Utilities Social/Environmental Clean Energy | 2,507 |
| Vanguard ESG Developed Europe All Cap UCITS ETF (EUR) Distributing | 0,00% | Equity Europe Social/Environmental | 33 |
| Vanguard Germany All Cap UCITS ETF (EUR) Distributing | 0,02% | Equity Germany | 261 |
| Vanguard ESG Global All Cap UCITS ETF (USD) Distributing | 0,00% | Equity World Social/Environmental | 465 |
| Amundi MSCI EMU Small Cap ESG Broad Transition UCITS ETF Dist | 0,03% | Equity Europe Small Cap Climate Change | 338 |
Performance
Returns overview
| YTD | +40.01% |
| 1 month | +48.55% |
| 3 months | +33.40% |
| 6 months | +108.16% |
| 1 year | +232.15% |
| 3 years | -51.37% |
| 5 years | -9.17% |
| Since inception (MAX) | +221.85% |
| 2025 | +150.66% |
| 2024 | -77.40% |
| 2023 | -9.64% |
| 2022 | +77.79% |
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 | 65.49% |
| Volatility 3 years | 63.27% |
| Volatility 5 years | 61.00% |
| Return per risk 1 year | 3.54 |
| Return per risk 3 years | -0.34 |
| Return per risk 5 years | -0.03 |
| Maximum drawdown 1 year | -35.25% |
| Maximum drawdown 3 years | -89.58% |
| Maximum drawdown 5 years | -89.58% |
| Maximum drawdown since inception | -89.58% |
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.