-
1 Comment
Australian Unity Office Fund is currently in a long term uptrend where the price is trading 5.8% above its 200 day moving average.
From a valuation standpoint, the stock is 40.6% cheaper than other stocks from the Real Estate sector with a price to sales ratio of 6.9.
Australian Unity Office Fund's total revenue sank by 10.5% to $26M since the same quarter in the previous year.
Its net income has dropped by 12.6% to $20M since the same quarter in the previous year.
Finally, its free cash flow grew by 17.3% to $9M since the same quarter in the previous year.
Based on the above factors, Australian Unity Office Fund gets an overall score of 3/5.
| Exchange | AU |
|---|---|
| CurrencyCode | AUD |
| ISIN | AU000000AOF3 |
| Sector | Real Estate |
| Industry | REIT - Office |
| Target Price | 0.49 |
|---|---|
| Dividend Yield | 12.% |
| Market Cap | 74M |
| PE Ratio | None |
| Beta | 0.51 |
The Australian Unity Office Fund (AOF) is an ASX-listed Real Estate Investment Trust (REIT). On 17 December 2024, Unitholders of the Australian Unity Office Fund (AOF) approved the disposal of AOF's main undertaking. On 22 April 2025 an update was provided on the settlement of properties and forecast guidance. The Fund is managed by Australian Unity Investment Real Estate Limited (AUIREL) as the Responsible entity. Australian Unity Funds Management Limited (AUFML) is the provider of investment management services to the Fund and Australian Unity Property Management Pty Limited (AUPM) is the property and asset manager of the Fund.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for AOF.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
