-
1 Comment
BWR Exploration Inc is currently in a long term downtrend where the price is trading 8.4% 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.
BWR Exploration Inc's total revenue sank by nan% to $0 since the same quarter in the previous year.
Its net income has dropped by 168.4% to $-228K since the same quarter in the previous year.
Finally, its free cash flow fell by 176.8% to $-285K since the same quarter in the previous year.
Based on the above factors, BWR Exploration Inc gets an overall score of 1/5.
CurrencyCode | CAD |
---|---|
ISIN | CA05606A1049 |
Exchange | V |
Sector | Basic Materials |
Industry | Other Industrial Metals & Mining |
Target Price | None |
---|---|
Beta | -0.07 |
Market Cap | 1M |
PE Ratio | None |
Dividend Yield | None |
BWR Exploration Inc. engages in the acquisition and exploration of precious and base metal properties in Canada. The company holds 100% interest in the Little Stull Lake Gold project consist of 20 unpatented mineral claims that covers an area of approximately 38,335 hectares located in the Northern, Manitoba; the Vendome Sud project consist of 17 claims covering 550.7 hectares located in the Fiedmont township, Quebec. It also owns 70.15% interest in the Shunsby project consist of 20 patented mineral claims located in the Province of Ontario, Canada. The company was formerly known as Black Widow Resources Inc. and changed its name to BWR Exploration Inc. in October 2016. The company was incorporated in 2011 and is based in Toronto, Canada.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for BWR.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