-
1 Comment
Astron Corporation Limited is currently in a long term uptrend where the price is trading 59.3% above its 200 day moving average.
From a valuation standpoint, the stock is 99.5% cheaper than other stocks from the Basic Materials sector with a price to sales ratio of 3.5.
Astron Corporation Limited's total revenue rose by 82.4% to $9M since the same quarter in the previous year.
Its net income has increased by 235.7% to $3M since the same quarter in the previous year.
Finally, its free cash flow grew by 125.4% to $450K since the same quarter in the previous year.
Based on the above factors, Astron Corporation Limited gets an overall score of 5/5.
Exchange | AU |
---|---|
CurrencyCode | AUD |
Sector | Basic Materials |
Industry | Other Industrial Metals & Mining |
ISIN | AU000000ATR7 |
Market Cap | 102M |
---|---|
PE Ratio | 0.0 |
Target Price | 3.94 |
Beta | 0.41 |
Dividend Yield | None |
Astron Corporation Limited operates as a mineral mining and production company in Australia, China, and internationally. The company operates through Donald Rare Earths & Mineral Sands; China; Senegal; and Others segments. It focuses on the development of the Donald Mineral Sands and Rare Earth Project in regional Victoria. The company is involved in the operation of titanium-based materials processing activities, including a mineral separation plant at Yingkou, China; and procurement and trading activities. In addition, the company engages in the evaluation and advancement of downstream applications for zircon and titanium. The company was incorporated in 2011 and is headquartered in Melbourne, Australia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for ATR.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