-
1 Comment
DPS Resources Bhd is currently in a long term downtrend where the price is trading 8.1% below its 200 day moving average.
From a valuation standpoint, the stock is 81.3% cheaper than other stocks from the Other sector with a price to sales ratio of 1.2.
DPS Resources Bhd's total revenue rose by 82.1% to $24M since the same quarter in the previous year.
Its net income has dropped by 57.1% to $5M since the same quarter in the previous year.
Finally, its free cash flow fell by 33.2% to $9M since the same quarter in the previous year.
Based on the above factors, DPS Resources Bhd gets an overall score of 2/5.
DPS Resources Berhad, an investment holding company, engages in manufacturing and sale of rubber wood furniture in Malaysia, the United States, Europe, and the Asia Pacific. It operates through Investment Holding, Manufacturing and Trading, Property Development Services, Construction Services, Rental of Building with Comprehensive Services, and Real Estate segments. The company offers saw milling, kiln-drying, wood treatment, and green energy and engineering work services; real estate property, construction, housing development, and real estate agency businesses; manufacturing of roof trusses; and manufacturing and trading of home furniture. It also engages in the business of developers, property brokers, and contractors; and other real estate activities with own or leased property, as well as construction and installation of solar farms, photovoltaic systems, AI data centres, battery energy storage systems, gas turbines, and power plants. DPS Resources Berhad was incorporated in 2003 and is headquartered in Bukit Rambai, Malaysia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 7198.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 2026
