-
1 Comment
Harn Len Corporation Bhd is currently in a long term downtrend where the price is trading 6.9% below its 200 day moving average.
From a valuation standpoint, the stock is 70.4% cheaper than other stocks from the sector with a price to sales ratio of 0.9.
Harn Len Corporation Bhd's total revenue rose by 19.6% to $36M since the same quarter in the previous year.
Its net income has increased by 1722.5% to $113M since the same quarter in the previous year.
Finally, its free cash flow fell by 1307.7% to $-82M since the same quarter in the previous year.
Based on the above factors, Harn Len Corporation Bhd gets an overall score of 3/5.
| Sector | Consumer Defensive |
|---|---|
| Industry | Farm Products |
| Exchange | KLSE |
| CurrencyCode | MYR |
| ISIN | MYL7501OO009 |
| Dividend Yield | 2.1% |
|---|---|
| Market Cap | 434M |
| PE Ratio | 35.5 |
| Target Price | None |
| Beta | 0.21 |
Harn Len Corporation Bhd, together with its subsidiaries, engages in the cultivation of oil palm in Malaysia. It operates through Plantation, and Property and Others segments. The company is involved in the operation of oil palm estate and palm oil mills; sales and purchase of fresh fruit bunches; sales and trading of crude palm oil and palm kernels; and provision of plantation development contract services. It also invests in land, commercial, and industrial buildings; and operates a food and beverage outlet. In addition, the company owns Johor Tower, a 25-storey office building; double-storey terrace shophouses and factory buildings; and pieces of vacant land located in the Johor Bahru city and within the Iskandar Development Region, Johor, as well as a seven-storey office cum residential building in Kuching, Sarawak. The company is headquartered in Johor, Malaysia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 7501.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
