-
1 Comment
Eureka Group Holdings Limited is currently in a long term uptrend where the price is trading 19.6% above its 200 day moving average.
From a valuation standpoint, the stock is 52.7% cheaper than other stocks from the Real Estate sector with a price to sales ratio of 5.5.
Eureka Group Holdings Limited's total revenue sank by 18.3% to $14M since the same quarter in the previous year.
Its net income has dropped by 41.2% to $3M since the same quarter in the previous year.
Finally, its free cash flow grew by 16.1% to $2M since the same quarter in the previous year.
Based on the above factors, Eureka Group Holdings Limited gets an overall score of 3/5.
| Exchange | AU |
|---|---|
| CurrencyCode | AUD |
| ISIN | AU000000EGH7 |
| Sector | Real Estate |
| Industry | Real Estate Services |
| Market Cap | 233M |
|---|---|
| PE Ratio | 13.75 |
| Target Price | 0.6882 |
| Dividend Yield | 2.6% |
| Beta | 0.34 |
Eureka Group Holdings Limited, together with its subsidiaries, owns and manages senior independent living communities in Australia. The company operates in two segments, Rental Villages and Property Management. It also engages in the ownership of seniors' rental villages; and provision of specialist property management and caretaking services; as well as catering services. The company was formerly known as SCV Group Limited and changed its name to Eureka Group Holdings Limited in October 2010. Eureka Group Holdings Limited was incorporated in 2001 and is headquartered in Brisbane, Australia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for EGH.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
