-
1 Comment
Bank of Ireland Group plc is currently in a long term uptrend where the price is trading 16.5% above its 200 day moving average.
From a valuation standpoint, the stock is 97.7% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 1.0.
Finally, its free cash flow fell by 707.2% to $-2B since the same quarter in the previous year.
Based on the above factors, Bank of Ireland Group plc gets an overall score of 2/5.
CurrencyCode | EUR |
---|---|
Industry | Banks-Regional |
Sector | Financial Services |
ISIN | IE00BD1RP616 |
Exchange | F |
Dividend Yield | 2.4% |
---|---|
Beta | 1.36 |
Market Cap | 11B |
Target Price | None |
PE Ratio | 12.78 |
Bank of Ireland Group plc provides various banking and financial products and services. It provides current and savings accounts, and business deposits and accounts; personal, car, home improvement, graduate, motor finance, and student loans, as well as overdrafts; and business and farming loans, BREXIT loans, invoice finance, hire purchase, and leasing services. The company also offers international payments and credit cards; protection overview, mortgage protection, life cover, specified illness cover, income protection, protection for individuals, and protection for families; pensions and investments, foreign exchange, and treasury deposits and services; personal products; private banking services; and leveraged acquisition and property finance. In addition, it provides home, car, travel, and life insurance products. The company was founded in 1783 and is headquartered in Dublin, Ireland.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for BIRG.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