-
1 Comment
Jernigan Capital, Inc is currently in a long term uptrend where the price is trading 13.9% above its 200 day moving average.
From a valuation standpoint, the stock is 17.2% cheaper than other stocks from the Real Estate sector with a price to sales ratio of 8.2.
Jernigan Capital, Inc's total revenue sank by 3.0% to $12M since the same quarter in the previous year.
Its net income has dropped by 142.2% to $-5M since the same quarter in the previous year.
Finally, its free cash flow grew by 54.7% to $-2M since the same quarter in the previous year.
Based on the above factors, Jernigan Capital, Inc gets an overall score of 3/5.
| Exchange | NASDAQ |
|---|---|
| CurrencyCode | USD |
| Sector | Financial Services |
| Industry | Credit Services |
| ISIN | US47248R1032 |
| Beta | nan |
|---|---|
| Market Cap | None |
| PE Ratio | None |
| Target Price | None |
| Dividend Yield | None |
Jefferson Capital, Inc. provides debt recovery solutions and other related services in the United States, the United Kingdom, Canada, and Latin America. The company primarily purchases portfolios of previously charged-off consumer receivables at deep discounts to face value and manage them by working with individuals as they repay their obligations and work toward financial recovery. It offers consumer receivables, including credit card, secured and unsecured automotive, telecom and utilities, and other receivables. The company also provides debt servicing and other portfolio management services to credit originators for nonperforming loans. Jefferson Capital, Inc. was founded in 2002 and is headquartered in Sartell, Minnesota.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for JCAP 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
