-
1 Comment
OpenSys (M) Bhd is currently in a long term downtrend where the price is trading 26.6% below its 200 day moving average.
From a valuation standpoint, the stock is 64.2% cheaper than other stocks from the Other sector with a price to sales ratio of 2.3.
Based on the above factors, OpenSys (M) Bhd gets an overall score of 1/5.
Exchange | KLSE |
---|---|
CurrencyCode | MYR |
ISIN | MYQ0040OO004 |
Industry | Software - Infrastructure |
Sector | Technology |
Beta | 0.09 |
---|---|
Target Price | None |
Dividend Yield | 5.7% |
PE Ratio | 10.5 |
Market Cap | 141M |
OpenSys (M) Berhad, an investment holding company, engages in the provision of self service, assisted service, and branch transformation solutions in Malaysia. It operates through Hardware, and Software Solution, and Services segments. The company offers cash processing solutions, such as cash recycling ATM, teller cash recycler, and ink-staining technology; cheque processing solutions, including cheque deposit machine, teller cheque collection system, outward cheque clearing, inward cheque clearing, and cheque fraud detection; bill payment solutions comprising bill payment kiosk, as well as software, terminal, and transaction manager. It also provides cheque process outsourcing and bill payment process outsourcing solutions; monitoring and management solutions; and AI-powered document processing solutions. In addition, the company offers project management, software engineering, system integration, and training services. OpenSys (M) Berhad was incorporated in 1995 and is headquartered in Petaling Jaya, Malaysia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 0040.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