-
1 Comment
Compugates Holdings Bhd is currently in a long term downtrend where the price is trading 31.0% below its 200 day moving average.
From a valuation standpoint, the stock is 164.6% more expensive than other stocks from the Other sector with a price to sales ratio of 17.0.
Compugates Holdings Bhd's total revenue rose by 347.4% to $1M since the same quarter in the previous year.
Its net income has dropped by 5.9% to $-1M since the same quarter in the previous year.
Finally, its free cash flow grew by 40.5% to $-793K since the same quarter in the previous year.
Based on the above factors, Compugates Holdings Bhd gets an overall score of 2/5.
Exchange | KLSE |
---|---|
CurrencyCode | MYR |
ISIN | MYL5037OO006 |
Sector | Technology |
Industry | Electronics & Computer Distribution |
Market Cap | 91M |
---|---|
PE Ratio | None |
Target Price | None |
Beta | 0.98 |
Dividend Yield | None |
Compugates Holdings Berhad, an investment holding company, engages in trading, marketing, and distributing imaging, information technology, and communication-based products in Malaysia. It operates in two segments, Trading, Services and Property Development; and Agriculture. The company distributes consumer electronics, such as printers, scanners, consumables, desktops, and laptops. It is also involved in trading, marketing, and distributing gaharu tea; gaharu tree plantation business; land owning, property investment holding, and property development businesses; and trading and cultivating agricultural products. The company was founded in 1997 and is based in Petaling Jaya, Malaysia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 5037.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