-
1 Comment
Land & General Bhd is currently in a long term uptrend where the price is trading 2.2% above its 200 day moving average.
From a valuation standpoint, the stock is 62.6% cheaper than other stocks from the Other sector with a price to sales ratio of 2.4.
Land & General Bhd's total revenue sank by 17.7% to $30M since the same quarter in the previous year.
Its net income has increased by 1237.7% to $7M since the same quarter in the previous year.
Based on the above factors, Land & General Bhd gets an overall score of 3/5.
| Exchange | KLSE |
|---|---|
| CurrencyCode | MYR |
| ISIN | MYL3174OO009 |
| Sector | Real Estate |
| Industry | Real Estate - Development |
| Beta | 0.7 |
|---|---|
| Target Price | None |
| Market Cap | 312M |
| Dividend Yield | 6.7% |
| PE Ratio | 0.0 |
Land & General Berhad, an investment holding company, engages in the property development business in Malaysia and Australia. The company operates through Property Development, Education, and other segments. It is involved in the development of residential and commercial properties; operation of co-education schools from kindergarten to secondary education; land cultivation; and investment in commercial properties. The company is also involved in the leasing of assets; Cultivation of bamboo and oil palm; and property investment and management activities, as well as offers education services. The company was formerly known as General Lumber (Holdings) Bhd and changed its name to Land & General Berhad in 1991. The company was incorporated in 1964 and is headquartered in Kuala Lumpur, Malaysia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 3174.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
