-
1 Comment
EcoGraf Limited is currently in a long term uptrend where the price is trading 28.0% 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.
Finally, its free cash flow grew by 18.9% to $-549K since the same quarter in the previous year.
Based on the above factors, EcoGraf Limited gets an overall score of 3/5.
Sector | Basic Materials |
---|---|
ISIN | AU0000071482 |
CurrencyCode | EUR |
Exchange | F |
Industry | Other Industrial Metals & Mining |
Dividend Yield | 0.0% |
---|---|
Market Cap | 52M |
Beta | 0.85 |
Target Price | None |
PE Ratio | None |
EcoGraf Limited engages in building a diversified battery anode material business that produces graphite products for the clean energy and lithium-ion battery markets in Asia, Europe, and North America. It develops HFfree purification technology, which produces battery anode material to support electric vehicle, battery, and anode manufacturers. The company also provides EcoGraf purification process that enables battery supply chain customers to reduce their CO2 emissions and lower battery costs. In addition, it is involved in the developing of TanzGraphite natural flake graphite business through its Epanko Graphite Project in Tanzania, which offers flake graphite products for industrial applications. The company was formerly known as Kibaran Resources Limited and changed its name to EcoGraf Limited in December 2019. EcoGraf Limited was incorporated in 2005 and is headquartered in West Perth, Australia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for FMK.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 2024