-
1 Comment
Ring Energy, Inc is currently in a long term uptrend where the price is trading 66.7% above its 200 day moving average.
From a valuation standpoint, the stock is 49.7% cheaper than other stocks from the sector with a price to sales ratio of 1.5.
Ring Energy, Inc's total revenue sank by 40.0% to $31M since the same quarter in the previous year.
Its net income has dropped by 4055.4% to $-160M since the same quarter in the previous year.
Finally, its free cash flow fell by 68.9% to $14M since the same quarter in the previous year.
Based on the above factors, Ring Energy, Inc gets an overall score of 2/5.
| ISIN | US76680V1089 |
|---|---|
| Sector | Energy |
| Industry | Oil & Gas E&P |
| Exchange | F |
| CurrencyCode | EUR |
| Market Cap | 168M |
|---|---|
| Beta | 1.08 |
| PE Ratio | 2.55 |
| Target Price | None |
| Dividend Yield | None |
Ring Energy, Inc., an independent oil and natural gas company, engages in the acquisition, exploration, development, and production of oil and natural gas properties. The company has interests in 56,620 net developed acres and 4,029 net undeveloped acres in Andrews, Gaines, Crane, Ector, Winkler, and Ward counties, Texas; and 8,722 net developed acres and 11,548 net undeveloped acres in Yoakum County, Texas and Lea County, New Mexico. It primarily sells its oil and natural gas production to end users, marketers, and other purchasers. The company was formerly known as Transglobal Mining Corp. and changed its name to Ring Energy, Inc. in March 2008. Ring Energy, Inc. was founded in 2004 and is headquartered in The Woodlands, Texas.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for KWE1.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
