-
1 Comment
Leweko Resources Bhd is currently in a long term downtrend where the price is trading 8.2% below its 200 day moving average.
From a valuation standpoint, the stock is 59.5% cheaper than other stocks from the Other sector with a price to sales ratio of 2.6.
Leweko Resources Bhd's total revenue sank by 18.3% to $9M since the same quarter in the previous year.
Its net income has dropped by 50.7% to $-214K since the same quarter in the previous year.
Finally, its free cash flow fell by 153.5% to $-3M since the same quarter in the previous year.
Based on the above factors, Leweko Resources Bhd gets an overall score of 1/5.
| Exchange | KLSE |
|---|---|
| CurrencyCode | MYR |
| ISIN | MYL8745OO001 |
| Sector | Real Estate |
| Industry | Real Estate - Diversified |
| Market Cap | 45M |
|---|---|
| PE Ratio | None |
| Target Price | None |
| Beta | 0.32 |
| Dividend Yield | None |
S & F Capital Berhad engages in the construction and property development businesses in Malaysia. The company develops commercial and residential properties; and undertakes the construction of houses and buildings infrastructure projects, civil infrastructure, geotechnical and soil investigation works, and other related contract works. It also provides management services, as well as operates hostels. The company was formerly known as Leweko Resources Berhad and changed its name to S & F Capital Berhad in January 2021. The company was incorporated in 2002 and is headquartered in Kuala Lumpur, Malaysia. S & F Capital Berhad is a subsidiary of Rengit Capital Sdn. Bhd.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 8745.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
