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SMA Solar Technology
ISIN DE000A0DJ6J9
|WKN A0DJ6J
Market cap (in EUR)
1.680 m
Country
Duitsland
Sector
Industrieel
Dividend yield
1,60%
Overview
Quote
Description
SMA Solar Technology AG houdt zich bezig met de ontwikkeling, productie en verkoop van omvormers en monitoringsystemen voor zonne-energiesystemen. Het bedrijf opereert via de volgende segmenten: Residential, Commercial, Utility, Storage en Digital Energy. Het segment Residential richt zich op wereldwijde markten voor kleine fotovoltaïsche (PV) systemen met en zonder verbinding met een smart home oplossing. Het commerciële segment richt zich op wereldwijde markten voor middelgrote PV-systemen met en zonder energiebeheeroplossing. Het Utility segment richt zich op internationale markten voor PV-centrales met zijn krachtige string-omvormers in de sunny-high power productfamilie en de centrale omvormers in de sunny central productfamilie. Het Storage segment bestaat uit systeemtechnologie voor de integratie van batterij-opslagsystemen van alle systeemgroottes. Het segment Digital Energy bestaat uit coneva, dat digitale energiediensten ontwikkelt voor particuliere en zakelijke klanten, en emerce GmbH, dat zich bezighoudt met online verkoopkanalen voor geselecteerde markten. Het bedrijf werd in 1981 opgericht door Reiner Wettlaufer, Peter Drews, Werner Kleinkauf en Günther Cramer en het hoofdkantoor is gevestigd in Niestetal, Duitsland.
Industrieel Industriële Productie Elektrische Apparatuur en Voedingssystemen Duitsland
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.