-
1 Comment
Australian Ethical Investment Ltd is currently in a long term uptrend where the price is trading 16.1% above its 200 day moving average.
From a valuation standpoint, the stock is 69.8% cheaper than other stocks from the Financial Services sector with a price to sales ratio of 16.0.
Australian Ethical Investment Ltd's total revenue rose by 9.8% to $26M since the same quarter in the previous year.
Its net income has increased by 12.7% to $5M since the same quarter in the previous year.
Finally, its free cash flow grew by 95.8% to $3M since the same quarter in the previous year.
Based on the above factors, Australian Ethical Investment Ltd gets an overall score of 5/5.
ISIN | AU000000AEF4 |
---|---|
Industry | Asset Management |
Sector | Financial Services |
CurrencyCode | AUD |
Exchange | AU |
Market Cap | 341M |
---|---|
Target Price | None |
PE Ratio | 67.11 |
Beta | 1.33 |
Dividend Yield | 1.7% |
Australian Ethical Investment Ltd. is a publicly owned investment manager. The firm launches and manages equity, fixed income, and balanced mutual funds for its clients. It invests in the public equity and fixed income markets across the globe. The firm invests in education, energy, electricity transmission & distribution, government, health & wellbeing, food production, telecommunications, transport, recycling and waste management, sustainable products & materials, Information technology, software and professional services, media, property, recreation financial services. The firm employs fundamental analysis to create its portfolios. Australian Ethical Investment Ltd. was founded in 1986 and is based in Sydney, Australia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for AEF.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 2024