-
1 Comment
Shanghai Zhongyida Co., Ltd is currently in a long term uptrend where the price is trading 89.1% above its 200 day moving average.
From a valuation standpoint, the stock is 32.4% more expensive than other stocks from the Industrials sector with a price to sales ratio of 6.7.
Shanghai Zhongyida Co., Ltd's total revenue rose by inf% to $281M since the same quarter in the previous year.
Its net income has increased by 44.1% to $-1M since the same quarter in the previous year.
Finally, its free cash flow grew by 4230628500.0% to $42M since the same quarter in the previous year.
Based on the above factors, Shanghai Zhongyida Co., Ltd gets an overall score of 4/5.
Exchange | SHG |
---|---|
CurrencyCode | CNY |
Sector | Basic Materials |
Industry | Specialty Chemicals |
ISIN | CNE000000503 |
PE Ratio | 1437.0 |
---|---|
Market Cap | 11B |
Beta | 0.68 |
Target Price | None |
Dividend Yield | None |
Guizhou Zhongyida Co., Ltd produces and sells fine chemical products in the People's Republic of China. Its products include pentaerythritol series products, such as industrial pentaerythritol, industrial dipentaerythritol, industrial tripentaerythritol, special grade pentaerythritol; and trimethylolpropane series products, including industrial trimethylolpropane and industrial ditrimethylolpropane, as well as edible alcohol, by-product DDGS feed, etc. The company was formerly known as Shanghai Zhongyida Co., Ltd. and changed its name to Guizhou Zhongyida Co., Ltd in April 2023. Guizhou Zhongyida Co., Ltd was founded in 1992 and is based in Shanghai, the People's Republic of China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 600610.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