-
1 Comment
Shanghai Hugong Electric Group Co.,Ltd is currently in a long term downtrend where the price is trading 19.1% below its 200 day moving average.
From a valuation standpoint, the stock is 20.5% more expensive than other stocks from the Industrials sector with a price to sales ratio of 6.1.
Shanghai Hugong Electric Group Co.,Ltd's total revenue rose by 41.3% to $262M since the same quarter in the previous year.
Its net income has increased by 34.8% to $22M since the same quarter in the previous year.
Finally, its free cash flow grew by 287.4% to $55M since the same quarter in the previous year.
Based on the above factors, Shanghai Hugong Electric Group Co.,Ltd gets an overall score of 3/5.
| Sector | Industrials |
|---|---|
| Industry | Specialty Industrial Machinery |
| Exchange | SHG |
| CurrencyCode | CNY |
| ISIN | CNE1000029B7 |
| Dividend Yield | 0.1% |
|---|---|
| Beta | 0.22 |
| Target Price | None |
| PE Ratio | None |
| Market Cap | 8B |
Shanghai Hugong Electric Group Co.,Ltd. manufactures and sells welding and cutting equipment in China and internationally. The company offers welding machines, including stick welders, MIG/MAG welders, TIG welders, plasma cutters, submerged arc welders, engine driven welders, and laser welders; laser cutting machines; and plasma cutting machines comprising CNC flame and plasma cutting machines, and CNC pipe intersection cutting machines. It also provides TIG torch, holders, MIG torch, helmet, gloves, apron, welding wire, welding electrode, tungsten electotre, and cutting torch. The company was founded in 1958 and is headquartered in Shanghai, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 603131.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 2026
