-
1 Comment
Happy Creek Minerals Ltd is currently in a long term downtrend where the price is trading 23.6% 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.
Happy Creek Minerals Ltd's total revenue sank by nan% to $0 since the same quarter in the previous year.
Its net income has dropped by 65.2% to $-185K since the same quarter in the previous year.
Finally, its free cash flow grew by 19.2% to $-376K since the same quarter in the previous year.
Based on the above factors, Happy Creek Minerals Ltd gets an overall score of 2/5.
| Exchange | V |
|---|---|
| CurrencyCode | CAD |
| ISIN | CA4113831024 |
| Sector | Basic Materials |
| Industry | Other Industrial Metals & Mining |
| PE Ratio | None |
|---|---|
| Target Price | None |
| Beta | 0.24 |
| Market Cap | 30M |
| Dividend Yield | None |
Fox Tungsten Ltd. engages in the acquisition, exploration, and development of mineral properties in Canada. It explores for copper, tungsten, molybdenum, zinc, indium, gold, and silver deposits. It holds 100% interest in fox tungsten project located in central British Columbia; It also holds interest in Hen-Art-DL gold and silver project covering an area of 68 km2 and it also holds interest in the Silverboss molybdenum-copper-gold-silver project located in British Columbia. Fox Tungsten Ltd was formerly known as Happy Creek Minerals Ltd. and changed its name to Fox Tungsten Ltd. in February 2026. The company was incorporated in 2004 and is headquartered in Vancouver, Canada.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for HPY.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 2026