-
1 Comment
Xiamen Zhongchuang Environmental Technology Co., Ltd is currently in a long term uptrend where the price is trading 1.3% above its 200 day moving average.
From a valuation standpoint, the stock is 74.3% cheaper than other stocks from the Industrials sector with a price to sales ratio of 1.3.
Xiamen Zhongchuang Environmental Technology Co., Ltd's total revenue rose by 194.4% to $546M since the same quarter in the previous year.
Its net income has dropped by 98.4% to $903K since the same quarter in the previous year.
Finally, its free cash flow fell by 99.8% to $319K since the same quarter in the previous year.
Based on the above factors, Xiamen Zhongchuang Environmental Technology Co., Ltd gets an overall score of 3/5.
Xiamen Zhongchuang Environmental Technology Co., Ltd., together with its subsidiaries, engages in the research, development, production, and service of high temperature filtration materials in China and internationally. The company offers PPS.TF, PE, GL, PPS, MX, PI, PTFE, and DT|PSA.MX.PI for filter; and products for hazardous waste, water treatment, new energy and air purification. It also offers power plant equipment for the treatment of flue gas pollutants, such as energy saving transformation and bulk material transportation. The company was formerly known as Xiamen Savings Environmental Co., Ltd and changed its name to Xiamen Zhongchuang Environmental Technology Co., Ltd. in February 2020. Xiamen Zhongchuang Environmental Technology Co., Ltd. was founded in 2001 and is headquartered in Xiamen, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 300056.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