-
1 Comment
Mexco Energy Corporation is currently in a long term uptrend where the price is trading 26.3% above its 200 day moving average.
From a valuation standpoint, the stock is 91.2% cheaper than other stocks from the Energy sector with a price to sales ratio of 7.5.
Mexco Energy Corporation's total revenue sank by 9.1% to $700K since the same quarter in the previous year.
Its net income has increased by 128.7% to $80K since the same quarter in the previous year.
Finally, its free cash flow fell by 69.3% to $-101K since the same quarter in the previous year.
Based on the above factors, Mexco Energy Corporation gets an overall score of 3/5.
| Industry | Oil & Gas E&P |
|---|---|
| Sector | Energy |
| CurrencyCode | EUR |
| Exchange | F |
| ISIN | US5927701012 |
| Market Cap | 25M |
|---|---|
| PE Ratio | 5.32 |
| Target Price | None |
| Dividend Yield | 0.0% |
| Beta | 1.19 |
Mexco Energy Corporation, an independent oil and gas company, engages in the acquisition, exploration, development, and production of natural gas, crude oil, condensate, and natural gas liquids in the United States. It owns partial interests in approximately 6,300 gross producing wells located in the states of Texas, New Mexico, Oklahoma, Louisiana, Alabama, Mississippi, Arkansas, Wyoming, Kansas, Colorado, Montana, Virginia, North Dakota, and Ohio. It also owned leasehold mineral, royalty, and other interests in approximately 2,970 net acres. The company was formerly known as Miller Oil Company and changed its name to Mexco Energy Corporation in April 1980. Mexco Energy Corporation was incorporated in 1972 and is based in Midland, Texas.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for MZB.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 2024
