-
1 Comment
Nortec Minerals Corp is currently in a long term downtrend where the price is trading 17.1% 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.
Nortec Minerals Corp's total revenue sank by nan% to $0 since the same quarter in the previous year.
Its net income has dropped by 13.7% to $-89K since the same quarter in the previous year.
Finally, its free cash flow fell by 45.8% to $-88K since the same quarter in the previous year.
Based on the above factors, Nortec Minerals Corp gets an overall score of 1/5.
Exchange | V |
---|---|
CurrencyCode | CAD |
ISIN | CA65655Q2027 |
Sector | Basic Materials |
Industry | Other Industrial Metals & Mining |
Market Cap | 1M |
---|---|
Beta | 0.89 |
PE Ratio | 0.0 |
Target Price | None |
Dividend Yield | None |
Nortec Minerals Corp., together with its subsidiaries, engages in the acquisition, exploration, and development of mineral properties in Canada, Ecuador, and Finland. The company explores for gold, zinc, copper, lead, silver, base metal, and lithium deposits. Its primary assets include the Sturgeon Lake volcanic massive sulfide property comprising 417 unpatented mining claims covering an area of approximately 9,500 hectares located in Ignace in Ontario, Canada; and the Mattagami River zinc property consisting of 43 unpatented mining claims covering an area of approximately 735 hectares located in Agate and Tucker townships of the Porcupine Mining Division in Northeastern Ontario, Canada. Nortec Minerals Corp. is headquartered in Vancouver, Canada.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for NVT.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