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SalMar ASA
ISIN NO0010310956
|WKN A0MR2G
Market cap (in EUR)
6,576 m
Country
Norway
Sector
Consumer Non-Cyclicals
Dividend yield
1.90%
Overview
Quote
Description
SalMar ASA engages in processing and trading of fish and shellfish and other related financial activities. It operates through the following segments: Fish Farming Central Norway, Fish Farming Northern Norway, Sales and Industry, and Icelandic Salmon. The Fish Farming Central Norway segment controls 68 marine-phase production licenses, and operates several research and development licenses in collaboration with other companies. The Fish Farming Northern Norway segment holds 32 licenses for the production of farmed salmon. The Icelandic Salmon segment produces and processes farms salmon. The Sales and Industry segment administers the Group’s sales activities and harvesting and processing activities in Norway. The company was founded by Gustav Witzoe in February 1991 and is headquartered in Kverva, Norway.
Consumer Non-Cyclicals Food and Tobacco Production Agriculture Norway
Chart
Financials
Key metrics
| Market capitalisation, EUR | 6,576 m |
| EPS, EUR | 1.29 |
| P/B ratio | 3.8 |
| P/E ratio | 35.1 |
| Dividend yield | 1.90% |
Income statement (2025)
| Revenue, EUR | 2,337 m |
| Net income, EUR | 94 m |
| Profit margin | 4.04% |
What ETF is SalMar ASA in?
There are 40 ETFs which contain SalMar ASA. All of these ETFs are listed in the table below. The ETF with the largest weighting of SalMar ASA is the iShares STOXX Europe 600 Food & Beverage UCITS ETF (DE).
Performance
Returns overview
| YTD | -0.38% |
| 1 month | +9.22% |
| 3 months | +4.92% |
| 6 months | -3.45% |
| 1 year | +8.46% |
| 3 years | +7.34% |
| 5 years | -9.22% |
| Since inception (MAX) | +24.59% |
| 2025 | +13.17% |
| 2024 | -8.80% |
| 2023 | +36.11% |
| 2022 | -39.28% |
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 | 30.34% |
| Volatility 3 years | 29.58% |
| Volatility 5 years | 35.94% |
| Return per risk 1 year | 0.28 |
| Return per risk 3 years | 0.08 |
| Return per risk 5 years | -0.05 |
| Maximum drawdown 1 year | -26.95% |
| Maximum drawdown 3 years | -44.59% |
| Maximum drawdown 5 years | -62.43% |
| Maximum drawdown since inception | -62.43% |
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.