-
1 Comment
ES Ceramics Technology Bhd is currently in a long term downtrend where the price is trading 24.4% below its 200 day moving average.
From a valuation standpoint, the stock is 5.9% more expensive than other stocks from the Other sector with a price to sales ratio of 6.8.
ES Ceramics Technology Bhd's total revenue rose by 152.6% to $23M since the same quarter in the previous year.
Its net income has increased by 1196.3% to $8M since the same quarter in the previous year.
Finally, its free cash flow grew by 642.2% to $11M since the same quarter in the previous year.
Based on the above factors, ES Ceramics Technology Bhd gets an overall score of 3/5.
CurrencyCode | MYR |
---|---|
ISIN | MYQ0100OO006 |
Sector | Basic Materials |
Industry | Specialty Chemicals |
Exchange | KLSE |
Market Cap | 71M |
---|---|
Beta | 0.59 |
PE Ratio | 10.0 |
Target Price | None |
Dividend Yield | None |
ES Ceramics Technology Berhad, an investment holding company, engages in the manufacturing of ceramic glove former in China, Germany, Malaysia, Mexico, Sri Lanka, Thailand, and the United States. The company offers examination glove formers, surgical formers, industrial glove formers, household formers, and breathing bag and balloon formers. It also markets and distributes ceramic hand formers for the rubber gloves industry; designs, develops, and manufactures specialty advanced ceramics products; manufactures and supplies chemical products and construction materials, including ready-mix concrete; and wholesale and retail sale of ready-mix concrete and other construction materials. The company was founded in 1998 and is based in Chemor, Malaysia.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 0100.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