-
1 Comment
Tryg A/S is currently in a long term downtrend where the price is trading 3.6% below its 200 day moving average.
From a valuation standpoint, the stock is 94.4% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 2.5.
Tryg A/S's total revenue rose by 7.5% to $6B since the same quarter in the previous year.
Its net income has increased by 47.2% to $1B since the same quarter in the previous year.
Finally, its free cash flow grew by 89.5% to $-169M since the same quarter in the previous year.
Based on the above factors, Tryg A/S gets an overall score of 4/5.
| Exchange | F |
|---|---|
| CurrencyCode | EUR |
| ISIN | DK0060636678 |
| Sector | Financial Services |
| Industry | Insurance - Diversified |
| PE Ratio | 17.79 |
|---|---|
| Beta | 0.04 |
| Target Price | None |
| Dividend Yield | 39.% |
| Market Cap | 13B |
Tryg A/S, together with its subsidiaries, engages in the provision of insurance products and services to private, small and medium sized commercial, and corporate customers in Denmark, the United States, rest of Nordic, Luxembourg, the United Kingdom, and internationally. It operates through Private and Commercial segments. The company offers insurance products, such as motor, content, house, accident, travel, motorcycle, and pet and health, as well as property, liability, workers' compensation, and health under the Trygg-Hansa, Atlantica, Bilsport & MC, and Moderna Djurförsäkringar brands. It sells its products through its sales agents, online, call centers, franchises, bancassurance, car dealers, real estate agents, insurance brokers, and partners. The company was founded in 1731 and is headquartered in Ballerup, Denmark.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for T2V1.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 2026