-
1 Comment
Encore Capital Group, Inc is currently in a long term uptrend where the price is trading 20.1% 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 0.8.
Encore Capital Group, Inc's total revenue rose by 10.0% to $383M since the same quarter in the previous year.
Its net income has dropped by 13.4% to $37M since the same quarter in the previous year.
Finally, its free cash flow grew by 31.0% to $51M since the same quarter in the previous year.
Based on the above factors, Encore Capital Group, Inc gets an overall score of 4/5.
CurrencyCode | USD |
---|---|
Industry | Mortgage Finance |
ISIN | US2925541029 |
Sector | Financial Services |
Exchange | NASDAQ |
Target Price | 64 |
---|---|
Dividend Yield | 0.0% |
Beta | 1.47 |
PE Ratio | 6.98 |
Market Cap | 1B |
Encore Capital Group, Inc., a specialty finance company, provides debt recovery solutions and other related services for consumers across financial assets worldwide. The company purchases portfolios of defaulted consumer receivables at deep discounts to face value, as well as manages them by working with individuals as they repay their obligations and works toward financial recovery. It is also involved in the provision of early stage collection, business process outsourcing, and contingent collection services, as well as debt servicing and other portfolio management services to credit originator for non-performing loans. Encore Capital Group, Inc. was incorporated in 1999 and is headquartered in San Diego, California.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for ECPG 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