-
1 Comment
Cohiba Minerals Limited is currently in a long term downtrend where the price is trading 19.4% 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.
Cohiba Minerals Limited's total revenue rose by 465.1% to $16K since the same quarter in the previous year.
Its net income has dropped by 124.3% to $-813K since the same quarter in the previous year.
Finally, its free cash flow fell by 199.8% to $-899K since the same quarter in the previous year.
Based on the above factors, Cohiba Minerals Limited gets an overall score of 2/5.
Exchange | AU |
---|---|
CurrencyCode | AUD |
ISIN | AU000000CHK3 |
Sector | Basic Materials |
Industry | Other Industrial Metals & Mining |
Market Cap | 21M |
---|---|
PE Ratio | None |
Target Price | None |
Beta | 1.92 |
Dividend Yield | None |
Cohiba Minerals Limited engages in the exploration of natural resources in Australia. The company explores for metals, precious metals, lithium, cobalt, gypsum, gold, copper, and minerals deposits. It holds 100% interests in the Pyramid Lake project covering an area of 112.66 square kilometers located in Esperance, Western Australia; the Wee MacGregor project comprising three mining licenses located in southeast of Mt. Isa; and the Olympic Domain Tenements consisting of eight exploration licenses covering an area of 831 square kilometer located in South Australia. Cohiba Minerals Limited was incorporated in 2011 and is based in Melbourne, Australia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for CHK.AU 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