-
1 Comment
Cordoba Minerals Corp is currently in a long term downtrend where the price is trading 33.7% 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.
Cordoba Minerals Corp's total revenue sank by nan% to $0 since the same quarter in the previous year.
Its net income has increased by 11.1% to $-2M since the same quarter in the previous year.
Finally, its free cash flow grew by 25.4% to $-2M since the same quarter in the previous year.
Based on the above factors, Cordoba Minerals Corp gets an overall score of 3/5.
Industry | |
---|---|
Exchange | F |
CurrencyCode | EUR |
ISIN | None |
Sector |
Market Cap | 2M |
---|---|
PE Ratio | None |
Target Price | None |
Beta | 1.21 |
Dividend Yield | None |
Cordoba Minerals Corp., a mineral exploration company, engages in the acquisition, exploration, and development of base and precious metal properties in Colombia and the United States. The company explores for copper, silver, and gold deposits. It primarily holds a 100% interest in the San Matias project with exploration licenses covering 147.23 square kilometers and has an additional 1,861.85 square kilometers of exploration licenses under application located in the municipality of Puerto Libertador, in the Department of Cordoba, Colombia. The company was incorporated in 2009 and is headquartered in Vancouver, Canada. Cordoba Minerals Corp. is a subsidiary of High Power Exploration Inc.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 7C6.F 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