-
1 Comment
Shaoxing BSM Chemical Co., Ltd is currently in a long term downtrend where the price is trading 5.4% below its 200 day moving average.
From a valuation standpoint, the stock is 71.9% more expensive than other stocks from the Basic Materials sector with a price to sales ratio of 6.9.
Based on the above factors, Shaoxing BSM Chemical Co., Ltd gets an overall score of 0/5.
| ISIN | CNE100003QP3 |
|---|---|
| Sector | Basic Materials |
| Industry | Chemicals |
| Exchange | SHE |
| CurrencyCode | CNY |
| Market Cap | 2B |
|---|---|
| Dividend Yield | 0.3% |
| PE Ratio | 330.5 |
| Target Price | 11 |
| Beta | 0.17 |
BSM Chemical Co.,Ltd., together with its subsidiaries, engages in the research, development, production, and sale of environmentally friendly pesticide and pharmaceutical intermediates, pesticide technicals, and C5 new materials in Mainland China and internationally. The company offers 4-nitrogen, pendimethalin technicals, and pendimethalin formulations; 3-pentanone, 2-pentanone, n-pentene, cyclopentene, and cyclopentane; 3-nitrogen, pentylamine, 3-amine, herbicide technicals and formulations, bactericide and insecticide formulations, plant growth regulators, biological agents, and methyl acetate. It also trades in pesticides, herbicides, insecticides, and fungicides. The company exports its products. The company was formerly known as Shaoxing Beisimei Chemical Co., Ltd. and changed its name to BSM Chemical Co.,Ltd. in January 2016. BSM Chemical Co.,Ltd. was founded in 2003 and is headquartered in Shaoxing, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 300796.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 2026
