-
1 Comment
International Lithium Corp is currently in a long term downtrend where the price is trading 8.8% 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.
International Lithium Corp's total revenue sank by nan% to $0 since the same quarter in the previous year.
Its net income has increased by 51.2% to $-245K since the same quarter in the previous year.
Finally, its free cash flow grew by 60.4% to $-51K since the same quarter in the previous year.
Based on the above factors, International Lithium Corp gets an overall score of 3/5.
Sector | Basic Materials |
---|---|
Industry | Other Industrial Metals & Mining |
Exchange | F |
CurrencyCode | EUR |
ISIN | CA4598201065 |
Beta | 1.28 |
---|---|
Market Cap | 995K |
PE Ratio | None |
Target Price | None |
Dividend Yield | None |
International Lithium Corp., an exploration stage company, engages in the investment, exploration, and development of mineral properties in Canada, Zimbabwe, and Ireland. It primarily explores for lithium, rubidium, caesium, copper, and rare metal deposits. The company primarily focuses on the Raleigh Lake Lithium and Rubidium Project located in Canada and identifying additional properties in Canada and Zimbabwe. It also has an agreement to acquire 90% interests in the Firesteel Copper Project covering an area of 6,600 hectares located in Ontario. International Lithium Corp. was incorporated in 2009 and is headquartered in Vancouver, Canada.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for IAH.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