-
1 Comment
Fertoz Limited is currently in a long term uptrend where the price is trading 260.9% above its 200 day moving average.
From a valuation standpoint, the stock is 99.3% cheaper than other stocks from the Basic Materials sector with a price to sales ratio of 4.6.
Fertoz Limited's total revenue rose by 146.1% to $1M since the same quarter in the previous year.
Its net income has increased by 19.9% to $-794K since the same quarter in the previous year.
Finally, its free cash flow grew by 82.6% to $-175K since the same quarter in the previous year.
Based on the above factors, Fertoz Limited gets an overall score of 5/5.
Sector | Basic Materials |
---|---|
Exchange | AU |
CurrencyCode | AUD |
ISIN | AU000000FTZ9 |
Industry | Agricultural Inputs |
Market Cap | 10M |
---|---|
PE Ratio | None |
Target Price | None |
Beta | 0.8 |
Dividend Yield | None |
Fertoz Limited supplies regenerative phosphate and organic fertilizers products in Australia and North America. The company holds interests in two rock phosphate mining projects, including the Wapiti and Fernie projects in British Columbia, Canada. It also offers a nitrogen, phosphorous, potassium, sulphur (NPKS) fertilizer pellet under the Fertify brand; and distributes fused magnesium calcium silicate phosphate products in Australia, New Zealand, and the Philippines. In addition, the company provides carbon services, including forest restoration, conservation cropping and nitrous oxide emissions reductions protocol (NERP). Fertoz Limited was incorporated in 2010 and is based in Sydney, Australia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for FTZ.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