-
1 Comment
MacDonald Mines Exploration Ltd is currently in a long term downtrend where the price is trading 24.3% below its 200 day moving average.
From a valuation standpoint, the stock is 75.4% cheaper than other stocks from the Basic Materials sector with a price to sales ratio of 119.7.
MacDonald Mines Exploration Ltd's total revenue sank by nan% to $0 since the same quarter in the previous year.
Its net income has increased by 32.2% to $-1M since the same quarter in the previous year.
Finally, its free cash flow grew by 44.5% to $-987K since the same quarter in the previous year.
Based on the above factors, MacDonald Mines Exploration Ltd gets an overall score of 3/5.
| ISIN | CA5543244001 |
|---|---|
| Sector | Basic Materials |
| Industry | Gold |
| Exchange | V |
| CurrencyCode | CAD |
| Market Cap | 4M |
|---|---|
| PE Ratio | None |
| Target Price | None |
| Beta | -0.04 |
| Dividend Yield | None |
MacDonald Mines Exploration Ltd. engages in the acquisition, exploration, and development of mineral properties in Canada. The company primarily explores for gold, silver, copper, cobalt, and nickel deposits. It owns 100% interests in the Scadding-Powerline-Jovan project that covers an area of 19,455 hectares located in the southeast of the prolific Sudbury Mining Camp in Northern Ontario; and the Hembruff Copper Property, which consists of 30 mining claims that covers an area of 6.64 square kilometers situated in the Elliot Lake, Ontario. The company was formerly known as MacDonald Mines Limited. MacDonald Mines Exploration Ltd. was founded in 1935 and is based in Toronto, Canada.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for BMK.V 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
