-
1 Comment
Sichuan Guoguang Agrochemical Co., Ltd is currently in a long term downtrend where the price is trading 18.2% below its 200 day moving average.
From a valuation standpoint, the stock is 7.1% more expensive than other stocks from the Basic Materials sector with a price to sales ratio of 4.3.
Sichuan Guoguang Agrochemical Co., Ltd's total revenue rose by 18.9% to $262M since the same quarter in the previous year.
Its net income has increased by 122.8% to $45M since the same quarter in the previous year.
Finally, its free cash flow fell by 51.2% to $37M since the same quarter in the previous year.
Based on the above factors, Sichuan Guoguang Agrochemical Co., Ltd gets an overall score of 2/5.
| Exchange | SHE |
|---|---|
| CurrencyCode | CNY |
| ISIN | CNE100001X50 |
| Sector | Basic Materials |
| Industry | Agricultural Inputs |
| Beta | 0.27 |
|---|---|
| PE Ratio | 19.55 |
| Target Price | 20.5 |
| Dividend Yield | 7.7% |
| Market Cap | 7B |
Sichuan Guoguang Agrochemical Co., Ltd. engages in the research and development, manufacture, marketing, and distribution of agrochemical products and materials in China and internationally. The company's products include plant growth regulators, water-soluble fertilizers, fungicides, insecticides, bio-pesticide, and herbicides. Its products are used in in the fields of agriculture, horticulture, garden maintenance, and forestry protection. It exports its products. Sichuan Guoguang Agrochemical Co., Ltd. was founded in 1984 and is based in Chengdu, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 002749.SHE 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
