-
1 Comment
Alexco Resource Corp is currently in a long term downtrend where the price is trading 10.0% below its 200 day moving average.
From a valuation standpoint, the stock is 69.6% cheaper than other stocks from the Basic Materials sector with a price to sales ratio of 148.3.
Alexco Resource Corp's total revenue sank by 89.6% to $633K since the same quarter in the previous year.
Its net income has dropped by 149.4% to $-16M since the same quarter in the previous year.
Finally, its free cash flow fell by 306.8% to $-15M since the same quarter in the previous year.
Based on the above factors, Alexco Resource Corp gets an overall score of 1/5.
CurrencyCode | CAD |
---|---|
ISIN | CA01535P1062 |
Industry | Other Precious Metals & Mining |
Exchange | TO |
Sector | Basic Materials |
Beta | 1.48 |
---|---|
Target Price | 0.63 |
Dividend Yield | 0.0% |
Market Cap | 112M |
PE Ratio | None |
Alexco Resource Corp. engages in the mineral exploration, evaluation, development, and operational activities primarily in Yukon Territory, Canada. The company explores for silver, lead, zinc, and gold deposits. It owns interests in the majority of the historic Keno Hill Silver District project that comprises the Flame & Moth, Bermingham, Lucky Queen, Bellekeno, and Onek deposits, as well as 722 quartz mining leases, 873 quartz claims, 24 placer mining claims, 1 quartz mining license and 50% of 3 quartz mining leases, 2 crown grants, and 6 fee simple lots and 7 surface leases located in Yukon Territory. Alexco Resource Corp. was incorporated in 2004 and is headquartered in Vancouver, Canada.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for AXU.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