-
1 Comment
Silver Lake Resources Limited is currently in a long term downtrend where the price is trading 5.5% below its 200 day moving average.
From a valuation standpoint, the stock is 99.2% cheaper than other stocks from the Basic Materials sector with a price to sales ratio of 2.1.
Silver Lake Resources Limited's total revenue sank by 0.0% to $129M since the same quarter in the previous year.
Its net income has dropped by 0.0% to $22M since the same quarter in the previous year.
Finally, its free cash flow grew by 173.9% to $80M since the same quarter in the previous year.
Based on the above factors, Silver Lake Resources Limited gets an overall score of 2/5.
| Exchange | F |
|---|---|
| CurrencyCode | EUR |
| ISIN | AU000000SLR6 |
| Sector | Basic Materials |
| Industry | Gold |
| Dividend Yield | None |
|---|---|
| PE Ratio | 15.53 |
| Beta | 1.06 |
| Target Price | None |
Silver Lake Resources Limited, together with its subsidiaries, engages in the exploration, mine development, mine operation, and sale of gold and copper concentrates in Australia and Canada. The company holds interest in the Deflector operations that produce gold bullion and gold-copper concentrates located in the Southern Murchison region of Western Australia; and Mount Monger operations, which produce gold bullion located within the Kalgoorlie terrane subdivision of the Eastern Goldfields Province. It also holds interest in the Sugar Zone operations that produce gold bullion and gold concentrates located in Northern Ontario, Canada. The company was incorporated in 2004 and is headquartered in South Perth, Australia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 4SL.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
