-
1 Comment
Renegade Exploration Limited is currently in a long term downtrend where the price is trading 15.0% 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.
Renegade Exploration Limited's total revenue sank by 95.7% to $180 since the same quarter in the previous year.
Its net income has increased by 53.6% to $-548K since the same quarter in the previous year.
Finally, its free cash flow fell by 57.5% to $-216K since the same quarter in the previous year.
Based on the above factors, Renegade Exploration Limited gets an overall score of 2/5.
ISIN | AU0000009839 |
---|---|
Exchange | AU |
CurrencyCode | AUD |
Sector | Basic Materials |
Industry | Other Industrial Metals & Mining |
Market Cap | 4M |
---|---|
Target Price | None |
PE Ratio | None |
Beta | 0.65 |
Dividend Yield | None |
Renegade Exploration Limited engages in the exploration and development of mineral properties in Australia and Canada. It primarily explores for copper, gold, zinc, cobalt, vanadium, and rare earth deposits. The company holds a 75% interest in the North Isa project located near north of Mt Isa township in Queensland; and a 31% interest in the Cloncurry Project located near Great Australia Mine and Taipan Deposit in north-west Queensland. The company was formerly known as Overland Resource Limited and changed its name to Renegade Exploration Limited. The company was incorporated in 2005 and is based in Brisbane, Australia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for RNX.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