-
1 Comment
IGB Real Estate Investment Trust is currently in a long term downtrend where the price is trading 2.3% below its 200 day moving average.
From a valuation standpoint, the stock is 110.1% more expensive than other stocks from the Other sector with a price to sales ratio of 13.5.
IGB Real Estate Investment Trust's total revenue rose by 5.7% to $148M since the same quarter in the previous year.
Its net income has dropped by 4.2% to $72M since the same quarter in the previous year.
Finally, its free cash flow fell by 21.6% to $78M since the same quarter in the previous year.
Based on the above factors, IGB Real Estate Investment Trust gets an overall score of 1/5.
| Exchange | KLSE |
|---|---|
| CurrencyCode | MYR |
| ISIN | MYL5227TO002 |
| Sector | Real Estate |
| Industry | REIT - Retail |
| Beta | 0.23 |
|---|---|
| PE Ratio | 14.44 |
| Dividend Yield | 4.8% |
| Market Cap | 8B |
| Target Price | 2.2558 |
Established on 25 July 2012, IGB REIT is a Malaysia-domiciled real estate investment trust. Listed on the Main Market of Bursa Malaysia Securities Berhad (Bursa) on 21 September 2012, it owns income producing real estate that is used for retail purposes in Malaysia and overseas. Comprising two malls " Mid Valley Megamall (MVM) and The Gardens Mall (TGM) " located in the Klang Valley, IGB REIT's portfolio has a total net lettable area (NLA) of approximately 2.69 million square feet (sf), and as at 31 December 2023, had a market capitalisation of RM6.19 billion. Its investment properties are independently valued at RM5.186 billion. IGB Berhad is the major unitholder of IGB REIT with a unitholding of 48.13% as at 31 December 2023.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 5227.KLSE 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
