-
1 Comment
TransAtlantic Petroleum Ltd is currently in a long term uptrend where the price is trading 7.2% above its 200 day moving average.
From a valuation standpoint, the stock is 99.5% cheaper than other stocks from the Energy sector with a price to sales ratio of 0.4.
TransAtlantic Petroleum Ltd's total revenue sank by 41.1% to $9M since the same quarter in the previous year.
Its net income has dropped by 376.5% to $-3M since the same quarter in the previous year.
Finally, its free cash flow fell by 92.1% to $443K since the same quarter in the previous year.
Based on the above factors, TransAtlantic Petroleum Ltd gets an overall score of 2/5.
| Exchange | F |
|---|---|
| CurrencyCode | EUR |
| ISIN | None |
| Sector | Energy |
| Industry | Oil & Gas E&P |
| Market Cap | 15M |
|---|---|
| PE Ratio | None |
| Target Price | None |
| Dividend Yield | 0.0% |
| Beta | 1.32 |
TransAtlantic Petroleum Ltd., an oil and natural gas company, engages in the acquisition, exploration, development, and production of oil and natural gas properties in Turkey and Bulgaria. As of December 31, 2019, it had interests in 4 onshore exploration licenses and 20 onshore production leases covering an area of 436,388 net acres with a total net proved reserves of 10,259 thousand barrels of oil and 2,466 million cubic feet of natural gas located in Turkey, as well as a production concession covering an area of approximately 162,800 net undeveloped acres located in Bulgaria. The company was incorporated in 1985 and is based in Addison, Texas. As of December 18, 2020, TransAtlantic Petroleum Ltd. was taken private.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for TRT1.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
