-
1 Comment
KYM Holdings Bhd is currently in a long term uptrend where the price is trading 2.1% above its 200 day moving average.
From a valuation standpoint, the stock is 89.1% cheaper than other stocks from the Other sector with a price to sales ratio of 0.7.
KYM Holdings Bhd's total revenue sank by 16.6% to $17M since the same quarter in the previous year.
Its net income has increased by 81.3% to $-326K since the same quarter in the previous year.
Finally, its free cash flow fell by 1012.3% to $-3M since the same quarter in the previous year.
Based on the above factors, KYM Holdings Bhd gets an overall score of 3/5.
| Sector | Consumer Cyclical |
|---|---|
| Industry | Packaging & Containers |
| Exchange | KLSE |
| ISIN | MYL8362OO005 |
| CurrencyCode | MYR |
| Market Cap | 49M |
|---|---|
| Beta | 0.21 |
| PE Ratio | 30.0 |
| Target Price | None |
| Dividend Yield | None |
KYM Holdings Bhd, an investment holding company, manufactures and sells paper packaging products in Malaysia, Indonesia, Singapore, Thailand, Mauritius, and Brunei. It operates through three segments: Manufacturing; Investment Holding; and Property. The company offers multi-wall industrial paper bags, and corrugated fiber boards and boxes. It also invests in, develops, manages, and rents properties; invests in quoted and unquoted shares; and provides management services. The company was formerly known as Polypulp Paper Industries Berhad and changed its name to KYM Holdings Bhd in April 1996. The company was incorporated in 1982 and is based in Petaling Jaya, Malaysia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 8362.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
