-
1 Comment
Shopping Centres Australasia Property Group is currently in a long term uptrend where the price is trading 0.3% above its 200 day moving average.
From a valuation standpoint, the stock is 20.0% cheaper than other stocks from the Real Estate sector with a price to sales ratio of 9.3.
Shopping Centres Australasia Property Group's total revenue sank by 6.8% to $138M since the same quarter in the previous year.
Its net income has increased by 14.1% to $103M since the same quarter in the previous year.
Finally, its free cash flow fell by 22.4% to $57M since the same quarter in the previous year.
Based on the above factors, Shopping Centres Australasia Property Group gets an overall score of 3/5.
Exchange | AU |
---|---|
CurrencyCode | AUD |
ISIN | AU000000SCP9 |
Sector | Real Estate |
Industry | REIT - Retail |
Beta | 0.44 |
---|---|
Market Cap | 3B |
PE Ratio | 6.18 |
Target Price | 2.78 |
Dividend Yield | 6.0% |
SCA Property Group (SCP) includes two internally managed real estate investment trusts owning a portfolio of quality neighbourhood and sub-regional shopping centres located across Australia. The SCA Property Group invests in shopping centres predominantly anchored by non-discretionary retailers, with long term leases to tenants such as Woolworths Limited, Coles Group Limited and companies in the Wesfarmers Limited group. The SCA Property Group is a stapled entity comprising Shopping Centres Australasia Property Management Trust (ARSN 160 612 626) and Shopping Centres Australasia Property Retail Trust (ARSN 160 612 788).
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for SCP.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