-
1 Comment
Shanghai Baosight Software Co.,Ltd is currently in a long term uptrend where the price is trading 19.2% above its 200 day moving average.
From a valuation standpoint, the stock is 58.9% cheaper than other stocks from the Technology sector with a price to sales ratio of 3.3.
Shanghai Baosight Software Co.,Ltd's total revenue rose by 34.5% to $2B since the same quarter in the previous year.
Its net income has increased by 44.1% to $309M since the same quarter in the previous year.
Finally, its free cash flow grew by 238.2% to $553M since the same quarter in the previous year.
Based on the above factors, Shanghai Baosight Software Co.,Ltd gets an overall score of 5/5.
| Exchange | SHG |
|---|---|
| CurrencyCode | USD |
| ISIN | CNE000000GG0 |
| Sector | Technology |
| Industry | Software - Application |
| Market Cap | 9B |
|---|---|
| PE Ratio | 13.8 |
| Target Price | 1.7859 |
| Beta | 0.48 |
| Dividend Yield | None |
Shanghai Baosight Software Co.,Ltd. provides industrial solutions in China. The company offers information solutions, including manufacturing execution, integrated process quality management, and energy management systems. It also offers smart storage systems, such as crane location tracking and unmanned automatic crane systems; and electromechanical equipment comprising industrial robots, bell-type furnaces, and surface inspection devices. In addition, the company provides automation solutions consisting of whole metallurgical and cold rolling processes. Shanghai Baosight Software Co.,Ltd. was founded in 1978 and is headquartered in Shanghai, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 900926.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
