-
1 Comment
Mandrake Resources Limited is currently in a long term uptrend where the price is trading 20.2% above 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.
Mandrake Resources Limited's total revenue sank by 27.9% to $12K since the same quarter in the previous year.
Its net income has dropped by 10.7% to $-681K since the same quarter in the previous year.
Finally, its free cash flow grew by 19.2% to $-354K since the same quarter in the previous year.
Based on the above factors, Mandrake Resources Limited gets an overall score of 3/5.
Industry | Gold |
---|---|
Sector | Basic Materials |
ISIN | AU0000054587 |
CurrencyCode | AUD |
Exchange | AU |
Beta | 2.21 |
---|---|
Dividend Yield | 0.0% |
Target Price | None |
PE Ratio | 0.0 |
Market Cap | 26M |
Mandrake Resources Limited engages in the exploration and evaluation of mineral resources. It explores for gold, silver, nickel, and copper deposits. The company's principal property is the Jimperding project consisting of 140 square kilometers exploration license application situated in the north east of Perth, Western Australia. It also owns a 100% interest in the Berinka Pine Creek project covering an area of 289 square kilometers located in the Pine Creek Orogen, Northern Territory. The company was formerly known as Bronson Group Limited and changed its name to Mandrake Resources Limited in August 2019. Mandrake Resources Limited was incorporated in 1986 and is based in West Perth, Australia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for MAN.AU 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