-
1 Comment
Dorchester Minerals, L.P is currently in a long term uptrend where the price is trading 22.6% above its 200 day moving average.
From a valuation standpoint, the stock is 28.0% more expensive than other stocks from the Energy sector with a price to sales ratio of 10.3.
Dorchester Minerals, L.P's total revenue sank by 38.2% to $12M since the same quarter in the previous year.
Its net income has dropped by 48.9% to $6M since the same quarter in the previous year.
Finally, its free cash flow fell by 35.2% to $7M since the same quarter in the previous year.
Based on the above factors, Dorchester Minerals, L.P gets an overall score of 1/5.
Industry | Oil & Gas E&P |
---|---|
CurrencyCode | USD |
Exchange | NASDAQ |
Sector | Energy |
ISIN | US25820R1059 |
Target Price | None |
---|---|
PE Ratio | 8.66 |
Dividend Yield | 12.% |
Market Cap | 1B |
Beta | 1.17 |
Dorchester Minerals, L.P. engages in the acquisition, ownership, and administration of producing and nonproducing natural gas and crude oil royalty, net profit, and leasehold interests in the United States. Its royalty properties consist of producing and nonproducing mineral, royalty, and overriding royalty, net profits, and leasehold interests in 592 counties and parishes in 28 states; and net profits interests represent net profits overriding royalty interests in various properties owned by the operating partnership. Dorchester Minerals Management LP serves as the general partner of Dorchester Minerals, L.P. Dorchester Minerals, L.P. was founded in 1982 and is based in Dallas, Texas.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for DMLP 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