-
1 Comment
Encorp Bhd is currently in a long term uptrend where the price is trading 18.2% above its 200 day moving average.
From a valuation standpoint, the stock is 90.7% cheaper than other stocks from the Other sector with a price to sales ratio of 0.6.
Encorp Bhd's total revenue sank by 7.9% to $37M since the same quarter in the previous year.
Its net income has dropped by 1174.2% to $-36M since the same quarter in the previous year.
Finally, its free cash flow fell by 113.0% to $-4M since the same quarter in the previous year.
Based on the above factors, Encorp Bhd gets an overall score of 2/5.
| Sector | Real Estate |
|---|---|
| Industry | Real Estate - Diversified |
| Exchange | KLSE |
| CurrencyCode | MYR |
| ISIN | MYL6076OO003 |
| Market Cap | 51M |
|---|---|
| PE Ratio | 16.0 |
| Target Price | 1.25 |
| Beta | 0.42 |
| Dividend Yield | None |
Encorp Berhad, an investment holding company, provides general management support services in Malaysia and Australia. The company operates through six segments: Investment Holding and the Provision of Management Services, Concessionaire, Construction, Property Development, Investment Property, and Others. It engages in commercial property leasing. The company is also involved in the property investment; property and construction project management; general trading; trading of building materials; and facilities management. In addition, it operates as a concessionaire to build and transfer teachers' quarters to the Government of Malaysia. The company was incorporated in 2000 and is based in Petaling Jaya, Malaysia. Encorp Berhad is a subsidiary of Felda Investment Corporation Sdn Bhd.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 6076.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
