-
1 Comment
PIE Industrial Bhd is currently in a long term uptrend where the price is trading 8.8% above its 200 day moving average.
From a valuation standpoint, the stock is 65.8% cheaper than other stocks from the Other sector with a price to sales ratio of 2.2.
PIE Industrial Bhd's total revenue rose by 36.6% to $227M since the same quarter in the previous year.
Its net income has dropped by 18.0% to $14M since the same quarter in the previous year.
Finally, its free cash flow fell by 148.1% to $-11M since the same quarter in the previous year.
Based on the above factors, PIE Industrial Bhd gets an overall score of 3/5.
| Exchange | KLSE |
|---|---|
| CurrencyCode | MYR |
| ISIN | MYL7095OO002 |
| Sector | Technology |
| Industry | Electronic Components |
| Market Cap | 2B |
|---|---|
| PE Ratio | 28.33 |
| Target Price | 4.65 |
| Dividend Yield | 0.6% |
| Beta | 0.59 |
P.I.E. Industrial Berhad, an investment holding company, manufactures and sells industrial products in Malaysia, other Asia Pacific countries, the United States, Europe, and Africa. It operates in Manufacturing of Industrial Products and Trading of Electronic Materials segments. The company offers cables and wires for electronic devices; cable moulding compounds and printed circuit board assemblies; and cable and wire harness products for computer, communication, and consumer electronic industries, as well as fixed and handheld barcode readers, plastic parts for electrical appliances, and cable assemblies. It is also involved in trading of electronic materials, such as computers peripheral and telecommunication products, consumer electronics, and cable assemblies. The company was incorporated in 1997 and is based in Seberang Perai, Malaysia. P.I.E. Industrial Berhad is a subsidiary of Pan Global Holding Co. Ltd.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 7095.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
