-
1 Comment
Comstock Mining Inc is currently in a long term uptrend where the price is trading 15.8% above its 200 day moving average.
From a valuation standpoint, the stock is 7392.3% more expensive than other stocks from the Real Estate sector with a price to sales ratio of 742.4.
Comstock Mining Inc's total revenue rose by 12.1% to $55K since the same quarter in the previous year.
Its net income has dropped by 1121.7% to $-3M since the same quarter in the previous year.
Finally, its free cash flow fell by 78.0% to $-1M since the same quarter in the previous year.
Based on the above factors, Comstock Mining Inc gets an overall score of 2/5.
Sector | Basic Materials |
---|---|
Exchange | NYSE MKT |
CurrencyCode | USD |
ISIN | US2057503003 |
Industry | Other Precious Metals & Mining |
Beta | 1.52 |
---|---|
Market Cap | 56M |
PE Ratio | None |
Target Price | 25 |
Dividend Yield | None |
Comstock Inc. engages in the systemic decarbonization business in Nevada and internationally. The company operates through five segments: Fuels, Metals, Mining, Strategic Investments, and Corporate Services. It develops and commercializes technology that extract and convert wasted and unused lignocellulosic biomass into intermediates for refining into advanced renewable fuels. The company also owns 100% in the Lucerne Project located in the Storey County, Nevada; and the Spring Valley Project situated in the Lyon County, Nevada. In addition, it offers engineering and construction services; and invests in non-mining real estate, water rights, and securities investments. The company was incorporated in 2008 and is based in Virginia City, Nevada.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for LODE 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