-
1 Comment
Haibo Heavy Engineering Science and Technology Co., Ltd is currently in a long term uptrend where the price is trading 10.7% above its 200 day moving average.
From a valuation standpoint, the stock is 36.8% cheaper than other stocks from the Industrials sector with a price to sales ratio of 3.2.
Haibo Heavy Engineering Science and Technology Co., Ltd's total revenue sank by 8.9% to $182M since the same quarter in the previous year.
Its net income has increased by 2.4% to $13M since the same quarter in the previous year.
Finally, its free cash flow fell by 168.9% to $-28M since the same quarter in the previous year.
Based on the above factors, Haibo Heavy Engineering Science and Technology Co., Ltd gets an overall score of 3/5.
| Sector | Industrials |
|---|---|
| Industry | Engineering & Construction |
| Exchange | SHE |
| CurrencyCode | CNY |
| ISIN | CNE100002805 |
| Target Price | 17.4 |
|---|---|
| Market Cap | 2B |
| PE Ratio | None |
| Dividend Yield | 0.8% |
| Beta | 0.7 |
Haibo Heavy Engineering Science and Technology Co., Ltd. designs, manufactures, and installs bridge steel structures in China. The company offers bridge steel structure process design, steel beam production, segment transportation, bridge installation, bridge steel structure maintenance, and other services. It also constructs complex bridge types, such as steel channel beams, steel box beams, steel cap beams, steel trusses, and box arches, as well as steel box beams and concrete composite beams, including assembled I-beams. Haibo Heavy Engineering Science and Technology Co., Ltd. was founded in 1994 and is based in Wuhan, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 300517.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