-
1 Comment
Great Ajax Corp. 7.25 CV SR NT 24 is currently in a long term uptrend where the price is trading 4.1% above its 200 day moving average.
From a valuation standpoint, the stock is 100.0% cheaper than other stocks from the Other sector with a price to sales ratio of 0.0.
Great Ajax Corp. 7.25 CV SR NT 24's total revenue sank by 20.6% to $22M since the same quarter in the previous year.
Its net income has increased by 92.0% to $13M since the same quarter in the previous year.
Finally, its free cash flow grew by 49.1% to $-8M since the same quarter in the previous year.
Based on the above factors, Great Ajax Corp. 7.25 CV SR NT 24 gets an overall score of 4/5.
Exchange | NYSE |
---|---|
CurrencyCode | USD |
ISIN | US38983D4097 |
Sector | Real Estate |
Industry | REIT - Mortgage |
Beta | nan |
---|---|
Market Cap | 156M |
PE Ratio | 17.28 |
Target Price | None |
Dividend Yield | 4.7% |
Great Ajax Corp. acquires, invests in, and manages a portfolio of residential mortgage and small balance commercial mortgage loans. It also holds real estate-owned properties, such as one to four unit homes and smaller commercial properties acquired upon the foreclosure or other settlement of its non-performing loans, as well as through outright purchases. The company elected to be taxed as a real estate investment trust for U.S. federal income tax purposes. It generally would not be subject to federal corporate income taxes, if it distributes at least 90% of its taxable income to its stockholders. Great Ajax Corp. was founded in 2014 and is headquartered in Beaverton, Oregon.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for AJXA 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