-
1 Comment
Bank of Queensland Limited is currently in a long term uptrend where the price is trading 9.8% above its 200 day moving average.
From a valuation standpoint, the stock is 91.2% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 3.9.
Bank of Queensland Limited's total revenue sank by 0.0% to $254M since the same quarter in the previous year.
Its net income has dropped by 0.0% to $71M since the same quarter in the previous year.
Finally, its free cash flow grew by 47.1% to $-546M since the same quarter in the previous year.
Based on the above factors, Bank of Queensland Limited gets an overall score of 3/5.
Exchange | F |
---|---|
CurrencyCode | EUR |
ISIN | AU000000BOQ8 |
Sector | Financial Services |
Industry | Banks - Regional |
Market Cap | 3B |
---|---|
PE Ratio | 15.68 |
Target Price | None |
Dividend Yield | 8.7% |
Beta | 0.79 |
Bank of Queensland Limited, together with its subsidiaries, engages in the provision of financial services in Australia. The company operates through Retail Bank and BOQ Business segments. It offers banking and savings accounts; term deposits; transaction accounts; business bank accounts; debit and credit cards; home and contents insurance; car insurance; business banking support products; foreign exchange and trade services; and merchant and payment products. The company also provides personal loans; home loans, such as refinancing; business loans, as well as business overdraft, self-managed super fund loan, and equipment and vehicle finance; and banking solutions for agribusiness, corporate and property, and healthcare. Bank of Queensland Limited was founded in 1874 and is based in Newstead, Australia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for BXZ.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