-
1 Comment
Fujian Haixia Environmental Protection Group Co.,Ltd is currently in a long term downtrend where the price is trading 6.3% below its 200 day moving average.
From a valuation standpoint, the stock is 9.2% more expensive than other stocks from the Utilities sector with a price to sales ratio of 4.0.
Fujian Haixia Environmental Protection Group Co.,Ltd's total revenue rose by 23.4% to $200M since the same quarter in the previous year.
Its net income has increased by 2.2% to $31M since the same quarter in the previous year.
Finally, its free cash flow fell by 1295.5% to $-97M since the same quarter in the previous year.
Based on the above factors, Fujian Haixia Environmental Protection Group Co.,Ltd gets an overall score of 2/5.
| Exchange | SHG |
|---|---|
| CurrencyCode | CNY |
| ISIN | CNE100002YS3 |
| Sector | Utilities |
| Industry | Utilities - Regulated Water |
| Market Cap | 3B |
|---|---|
| Target Price | None |
| Beta | 0.26 |
| PE Ratio | 16.91 |
| Dividend Yield | None |
Fujian Haixia Environmental Protection Group Co.,Ltd. provides environmental services in China. It offers single and municipal sewage treatment, landfill leachate treatment, industrial wastewater treatment, township sewage treatment, sludge treatment and disposal, garbage and solid waste disposal, environmental protection testing, and domestic waste collection and transfer services, as well as resource utilization of muck and construction waste. The company was founded in 2002 and is headquartered in Fuzhou, China. Fujian Haixia Environmental Protection Group Co.,Ltd. operates as a subsidiary of Fuzhou Water Group Co.,Ltd.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 603817.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
