-
1 Comment
Multi-Usage Holdings Bhd is currently in a long term uptrend where the price is trading 22.2% above its 200 day moving average.
From a valuation standpoint, the stock is 28.4% cheaper than other stocks from the Other sector with a price to sales ratio of 4.6.
Multi-Usage Holdings Bhd's total revenue rose by 234.4% to $4M since the same quarter in the previous year.
Its net income has increased by 234.4% to $664K since the same quarter in the previous year.
Finally, its free cash flow grew by 148.2% to $1M since the same quarter in the previous year.
Based on the above factors, Multi-Usage Holdings Bhd gets an overall score of 5/5.
| Exchange | KLSE |
|---|---|
| CurrencyCode | MYR |
| ISIN | MYL9539OO007 |
| Sector | Real Estate |
| Industry | Real Estate - Development |
| Beta | 0.14 |
|---|---|
| Market Cap | 23M |
| PE Ratio | 4.0 |
| Target Price | None |
| Dividend Yield | None |
Multi-Usage Holdings Berhad, an investment holding company, engages in the property development activities in Malaysia. The company operates through Property development, Contracting, and Others segments. It develops commercial and residential properties; undertakes contracting works and project management services for construction projects; and manufactures and sells fire resistance bricks, precast concrete hollow and paving blocks, allan blocks, stones, precast reinforced concrete box culverts, and ready mix concrete products. The company also trades in furniture, cement products, bricks, stones, and various building materials and hardware products. Multi-Usage Holdings Berhad was incorporated in 1991 and is headquartered in Penang, Malaysia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 9539.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
