-
1 Comment
MHC Plantations Bhd is currently in a long term uptrend where the price is trading 2.4% above its 200 day moving average.
From a valuation standpoint, the stock is 93.8% cheaper than other stocks from the Other sector with a price to sales ratio of 0.4.
MHC Plantations Bhd's total revenue rose by 37.0% to $96M since the same quarter in the previous year.
Its net income has increased by 283.8% to $5M since the same quarter in the previous year.
Finally, its free cash flow grew by 303.5% to $14M since the same quarter in the previous year.
Based on the above factors, MHC Plantations Bhd gets an overall score of 5/5.
| Exchange | KLSE |
|---|---|
| CurrencyCode | MYR |
| ISIN | MYL5026OO009 |
| Sector | Consumer Defensive |
| Industry | Farm Products |
| PE Ratio | 6.33 |
|---|---|
| Market Cap | 187M |
| Dividend Yield | 3.2% |
| Target Price | None |
| Beta | 0.62 |
MHC Plantations Bhd., an investment holding company, engages in cultivating, milling, and selling oil palm products in Malaysia. It operates through three segments: Plantation, Oil Mill, and Power Plant. The company offers fresh fruit bunches, crude palm oil, palm kernel, and empty fruit bunches oil. It is also involved in the operation of a hotel; property investment and development, and housing development activities; operation of quarry; supply of electricity; power generation and sale of biomass by-products; and extraction and sale of earth stones. In addition, the company engages in the letting of oil palm fresh fruit bunches collection center. MHC Plantations Bhd. was incorporated in 1960 and is based in Tanjung Malim, Malaysia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 5026.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
