-
1 Comment
GuocoLand (Malaysia) Berhad is currently in a long term uptrend where the price is trading 16.5% above its 200 day moving average.
From a valuation standpoint, the stock is 82.9% cheaper than other stocks from the Other sector with a price to sales ratio of 1.1.
GuocoLand (Malaysia) Berhad's total revenue rose by 1.3% to $91M since the same quarter in the previous year.
Its net income has increased by 23.4% to $-11M since the same quarter in the previous year.
Finally, its free cash flow fell by 46.6% to $-33M since the same quarter in the previous year.
Based on the above factors, GuocoLand (Malaysia) Berhad gets an overall score of 4/5.
| Exchange | KLSE |
|---|---|
| CurrencyCode | MYR |
| ISIN | MYL1503OO001 |
| Sector | Real Estate |
| Industry | Real Estate - Development |
| Market Cap | 389M |
|---|---|
| PE Ratio | 7.25 |
| Target Price | None |
| Dividend Yield | 3.5% |
| Beta | 0.47 |
GuocoLand (Malaysia) Berhad, an investment holding company, engages in the properties and other business activities primarily in Malaysia. It operates through four segments: Property Development, Property Investment, Hotels, and Plantation. The Property Development segment develops and sells residential and commercial properties. The Property Investment segment invests in residential and commercial properties, as well as in real estate investment trusts. The Hotels segment operates and manages hotels. The Plantation segment operates oil palm estates and sells fresh fruit bunches. The company is also involved in the provision of construction management, management, and property management services; acquisition, enhancement, and resale of properties; and trade of securities, as well as in car park operations. The company was formerly known as Hong Leong Properties Bhd. GuocoLand (Malaysia) Berhad was incorporated in 1920 and is headquartered in Kuala Lumpur, Malaysia. GuocoLand (Malaysia) Berhad is a subsidiary of GLL (Malaysia) Pte Ltd.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 1503.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
