-
1 Comment
Thor Mining PLC is currently in a long term downtrend where the price is trading 2.3% below its 200 day moving average.
From a valuation standpoint, the stock is 100.0% cheaper than other stocks from the Basic Materials sector with a price to sales ratio of 0.0.
Its net income has dropped by 0.0% to $-240K since the same quarter in the previous year.
Finally, its free cash flow fell by 18.5% to $-422K since the same quarter in the previous year.
Based on the above factors, Thor Mining PLC gets an overall score of 1/5.
Exchange | LSE |
---|---|
CurrencyCode | GBP |
Sector | Basic Materials |
Industry | Other Industrial Metals & Mining |
ISIN | GB00BD0NBV71 |
Beta | -0.06 |
---|---|
Market Cap | 5M |
PE Ratio | None |
Target Price | 1.8 |
Dividend Yield | None |
Thor Energy Plc engages in the exploration and development of mineral properties in Australia. It explores for uranium, vanadium, copper, tungsten, molybdenum, gold, lithium, nickel, and other mineral deposits. The company holds interests in the Wedding Bell uranium and the Radium Mountain projects located in Colorado and the Vanadium King project located in south-east Utah. It also holds interests in the Molyhil tungsten-molybdenum project located north-east of Alice Springs in Northern Territory. The Ragged Range gold, copper, lithium, and nickel project situated in Eastern Pilbara Craton, Western Australia and the Alford East copper-gold project located in South Australia. The company was formerly known as Thor Mining PLC and changed its name to Thor Energy Plc in January 2023. Thor Energy Plc was incorporated in 2004 and is headquartered in London, the United Kingdom.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for THR.LSE 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