-
1 Comment
Suvo Strategic Minerals Limited is currently in a long term uptrend where the price is trading 4.6% above 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.
Suvo Strategic Minerals Limited's total revenue rose by 124250.0% to $25K since the same quarter in the previous year.
Its net income has dropped by 108.2% to $-2M since the same quarter in the previous year.
Finally, its free cash flow fell by 112.2% to $-688K since the same quarter in the previous year.
Based on the above factors, Suvo Strategic Minerals Limited gets an overall score of 3/5.
Exchange | AU |
---|---|
ISIN | AU0000098923 |
Sector | Basic Materials |
Industry | Other Industrial Metals & Mining |
CurrencyCode | AUD |
PE Ratio | None |
---|---|
Target Price | 0.11 |
Beta | 1.72 |
Market Cap | 31M |
Dividend Yield | None |
Suvo Strategic Minerals Limited operates as a hydrous kaolin producer and exploration company in Australia, New Zealand, Asia, and internationally. It operates through Exploration & Evaluation; and Kaolin Production segments. The company also explores for silica sand deposits. Its products are used in adhesive, ink, paint, paper and board, pharmaceutical, and rubber applications. In addition, the company provides Colliecrete, a low carbon geoploymer concrete formulation; and operates a geopolymer concrete batching plant. The company was formerly known as UltraCharge Limited and changed its name to Suvo Strategic Minerals Limited in August 2020. Suvo Strategic Minerals Limited is based in Pittong, Australia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for SUV.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