-
1 Comment
Fortune Minerals Limited is currently in a long term uptrend where the price is trading 10.8% 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.
Fortune Minerals Limited's total revenue sank by nan% to $0 since the same quarter in the previous year.
Its net income has dropped by 210.7% to $-182K since the same quarter in the previous year.
Finally, its free cash flow grew by 77.5% to $-703K since the same quarter in the previous year.
Based on the above factors, Fortune Minerals Limited gets an overall score of 3/5.
Exchange | TO |
---|---|
CurrencyCode | CAD |
Sector | Basic Materials |
Industry | Other Industrial Metals & Mining |
ISIN | CA34967D1015 |
Beta | -0.44 |
---|---|
Market Cap | 31M |
PE Ratio | None |
Target Price | 0.42 |
Dividend Yield | None |
Fortune Minerals Limited engages in the exploration and development of specialty metals, base metals, and precious metals in Canada. The company explores for gold, cobalt, bismuth, copper, silver, lead, and zinc deposits. Its primary asset is the NICO gold-cobalt-bismuth-copper project covering an area of 5,140 hectares located in the Northwest Territories. The company also holds 100% interest in Sue-Dianne covering an area of 451 hectares; and Salkeld Lake Property that covers an area of 116 hectares located in the Northwest Territories. Fortune Minerals Limited was incorporated in 1988 and is headquartered in London, Canada.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for FT.TO 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