-
1 Comment
Sungei Bagan Rubber Co. Malaya Bhd is currently in a long term uptrend where the price is trading 0.8% above its 200 day moving average.
From a valuation standpoint, the stock is 80.6% more expensive than other stocks from the Other sector with a price to sales ratio of 11.6.
Sungei Bagan Rubber Co. Malaya Bhd's total revenue rose by 48.6% to $5M since the same quarter in the previous year.
Its net income has increased by 84.9% to $17M since the same quarter in the previous year.
Finally, its free cash flow grew by 78.9% to $-844K since the same quarter in the previous year.
Based on the above factors, Sungei Bagan Rubber Co. Malaya Bhd gets an overall score of 4/5.
| Sector | Consumer Defensive |
|---|---|
| Industry | Farm Products |
| Exchange | KLSE |
| CurrencyCode | MYR |
| ISIN | MYL2569OO001 |
| Market Cap | 551M |
|---|---|
| PE Ratio | 2.84 |
| Target Price | None |
| Dividend Yield | 0.3% |
| Beta | -0.17 |
Sungei Bagan Rubber Company (Malaya) Berhad produces and sells fresh oil palm fruit bunches in Malaysia. It operates through two segments, Plantation and Investments. The Plantation segment cultivates oil palm. It operates its plantation activity in Malaysia, Singapore, Hong Kong, the United Kingdom, the Cayman Islands, and Australia. The Investments segment is involved in long term portfolio investment in securities, and deposits with banks. As of June 30, 2024, it owned 4,666 acres of planted area. The company was incorporated in 1958 and is based in Machang, Malaysia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 2569.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
