-
1 Comment
Epoxy Base Electronic Material Corporation Limited is currently in a long term uptrend where the price is trading 11.4% above its 200 day moving average.
From a valuation standpoint, the stock is 35.2% cheaper than other stocks from the Basic Materials sector with a price to sales ratio of 2.6.
Epoxy Base Electronic Material Corporation Limited's total revenue rose by 4.3% to $444M since the same quarter in the previous year.
Its net income has increased by 33.8% to $32M since the same quarter in the previous year.
Finally, its free cash flow fell by 62.8% to $44M since the same quarter in the previous year.
Based on the above factors, Epoxy Base Electronic Material Corporation Limited gets an overall score of 4/5.
| Exchange | SHG |
|---|---|
| CurrencyCode | CNY |
| Industry | Chemicals |
| ISIN | CNE100001FS4 |
| Sector | Basic Materials |
| Target Price | None |
|---|---|
| Beta | 0.73 |
| Market Cap | 6B |
| PE Ratio | 141.5 |
| Dividend Yield | None |
Epoxy Base Electronic Material Corporation Limited produces and sells electronic grade epoxy resins in China and internationally. The company offers wind blade and liquid type epoxy resins, and specialized and modified type epoxy resins, as well as specialized resins for copper clad laminate, powder coating, and can coating. It also provides professional technical after-sale services. The company was formerly known as Guangzhou Epoxy Base Electronic Material Corp. and changed its name to Epoxy Base Electronic Material Corporation Limited in March 2008. The company was founded in 1995 and is headquartered in Guangzhou, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 603002.SHG 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
