-
1 Comment
Dalian Huarui Heavy Industry Group Co., LTD is currently in a long term uptrend where the price is trading 0.4% above its 200 day moving average.
From a valuation standpoint, the stock is 86.2% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.7.
Dalian Huarui Heavy Industry Group Co., LTD's total revenue sank by 27.0% to $2B since the same quarter in the previous year.
Its net income has dropped by 1.9% to $25M since the same quarter in the previous year.
Finally, its free cash flow fell by 67.8% to $119M since the same quarter in the previous year.
Based on the above factors, Dalian Huarui Heavy Industry Group Co., LTD gets an overall score of 2/5.
| Exchange | SHE |
|---|---|
| Industry | Specialty Industrial Machinery |
| CurrencyCode | CNY |
| ISIN | CNE1000008Y3 |
| Sector | Industrials |
| PE Ratio | 21.86 |
|---|---|
| Target Price | 23.5 |
| Dividend Yield | 0.5% |
| Beta | 0.57 |
| Market Cap | 12B |
Dalian Huarui Heavy Industry Group Co., Ltd. manufactures, sells, and services technical equipment primarily in China. The company offers bulk material handling, port, coke oven, metallurgic, and lifting machineries; bridge and gantry cranes; cranes for metallurgical plants; laminar spray welded rollers and galvanized sink rollers, as well as furnace rollers for cold rolling mills; wind turbines components; high-end castings; and ship crankshafts. It also exports its products. The company was founded in 1914 and is headquartered in Dalian, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 002204.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
