-
1 Comment
Fima Corp. Bhd is currently in a long term uptrend where the price is trading 15.6% above its 200 day moving average.
From a valuation standpoint, the stock is 70.4% cheaper than other stocks from the Other sector with a price to sales ratio of 1.9.
Fima Corp. Bhd's total revenue sank by 5.4% to $58M since the same quarter in the previous year.
Its net income has increased by 73.2% to $5M since the same quarter in the previous year.
Finally, its free cash flow grew by 999.8% to $92M since the same quarter in the previous year.
Based on the above factors, Fima Corp. Bhd gets an overall score of 4/5.
Exchange | KLSE |
---|---|
CurrencyCode | MYR |
Industry | Specialty Business Services |
ISIN | MYL3107OO009 |
Sector | Industrials |
Dividend Yield | 7.3% |
---|---|
Beta | 0.21 |
Market Cap | 405M |
PE Ratio | 13.15 |
Target Price | None |
Fima Corporation Berhad, an investment holding company, engages in the oil palm plantation business in Malaysia and Indonesia. It operates through Plantation, Manufacturing, and Property Management segments. The company is involved in the rental and management of commercial properties, production and processing, plantation management, advisory services, and printing of bank notes. It also engages in the development, cultivation, and management of oil palm estates, as well as the processing of oil palm products. In addition, the company offers property management and engineering consultation services. The company was incorporated in 1974 and is headquartered in Kuala Lumpur, Malaysia. Fima Corporation Berhad is a subsidiary of Fima Metal Box Holdings Sdn. Bhd.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 3107.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