-
1 Comment
B2Holding ASA is currently in a long term uptrend where the price is trading 20.4% above its 200 day moving average.
From a valuation standpoint, the stock is 96.8% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 1.4.
B2Holding ASA's total revenue sank by 10.8% to $645M since the same quarter in the previous year.
Its net income has increased by 42.3% to $128M since the same quarter in the previous year.
Finally, its free cash flow fell by 4.8% to $656M since the same quarter in the previous year.
Based on the above factors, B2Holding ASA gets an overall score of 3/5.
| CurrencyCode | EUR |
|---|---|
| Exchange | F |
| Industry | Credit Services |
| ISIN | NO0010633951 |
| Sector | Financial Services |
| Beta | 1.63 |
|---|---|
| Target Price | None |
| Dividend Yield | 2.9% |
| PE Ratio | 7.96 |
| Market Cap | 249M |
B2Holding ASA, together with its subsidiaries, provides debt solutions for banks and institutional vendors. The company's portfolio of business consists of purchase, management, and collection of unsecured and secured non-performing loans. Its services include debt purchase and collection, credit information, third party debt collection, and consumer lending, as well as telemarketing and fraud prevention services. It principally operates in Norway, Sweden, Denmark, Finland, Estonia, Latvia, Lithuania, Poland, Croatia, Slovenia, Serbia, Montenegro, Bosnia and Herzegovina, Austria, the Czech Republic, Hungary, Spain, Portugal, Italy, France, Bulgaria, Romania, Greece, and Cyprus. B2Holding SAS was incorporated in 2008 and is headquartered in Oslo, Norway.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for B28.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 2024
