-
1 Comment
Storebrand ASA is currently in a long term uptrend where the price is trading 10.6% above its 200 day moving average.
From a valuation standpoint, the stock is 98.9% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 0.5.
Storebrand ASA's total revenue rose by 44.5% to $31B since the same quarter in the previous year.
Its net income has increased by 29.5% to $873M since the same quarter in the previous year.
Finally, its free cash flow grew by 23.6% to $-852M since the same quarter in the previous year.
Based on the above factors, Storebrand ASA gets an overall score of 5/5.
Exchange | F |
---|---|
CurrencyCode | EUR |
ISIN | NO0003053605 |
Sector | Financial Services |
Industry | Financial Conglomerates |
Market Cap | 4B |
---|---|
PE Ratio | 9.48 |
Target Price | None |
Dividend Yield | 3.9% |
Beta | 0.85 |
Storebrand ASA provides insurance products and services in Norway, Sweden, the United Kingdom, Finland, Denmark, Germany, Luxemburg, and Ireland. It operates through four segments: Savings, Insurance, Guaranteed Pensions, and Other. The Savings segment offers retirement savings, defined contribution pensions, asset management, and retail banking products. The Insurance segment provides personal insurance, non-life insurance, personal risk, and pension-related insurance products. The Guaranteed Pensions segment offers long-term pension savings products, such as defined contribution pensions, paid-up policies, and individual capital and pension insurance products. The Other segment provides life insurance products. The company serves private individuals, businesses, public enterprises, and corporate and retail markets. Storebrand ASA was founded in 1767 and is headquartered in Lysaker, Norway.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for SKT.F using our backtest tool. PyInvesting provides the backtesting software for you to backtest your investment strategy. Our backtest software is written using Python code and allows you to backtest stock, backtest etf, backtest options, backtest crypto and backtest forex online. Our backtesting Python framework is highly robust and gives you a realistic simulation of how your strategy would have performed in the past using backtest data.
© PyInvesting 2025