-
1 Comment
Shanghai Bright Power Semiconductor Co., Ltd is currently in a long term uptrend where the price is trading 114.1% above its 200 day moving average.
From a valuation standpoint, the stock is 79.2% more expensive than other stocks from the Technology sector with a price to sales ratio of 14.4.
Shanghai Bright Power Semiconductor Co., Ltd's total revenue rose by 24.1% to $322M since the same quarter in the previous year.
Its net income has dropped by 11.6% to $20M since the same quarter in the previous year.
Finally, its free cash flow grew by 2.8% to $-8M since the same quarter in the previous year.
Based on the above factors, Shanghai Bright Power Semiconductor Co., Ltd gets an overall score of 3/5.
| Exchange | SHG |
|---|---|
| CurrencyCode | CNY |
| ISIN | CNE100003P58 |
| Sector | Technology |
| Industry | Semiconductors |
| Market Cap | 8B |
|---|---|
| PE Ratio | 8635.0 |
| Target Price | 230.84 |
| Beta | 1.07 |
| Dividend Yield | None |
Shanghai Bright Power Semiconductor Co., Ltd. designs, develops, and sells power management chips in China. It offers DC/DC power management chips comprising digital controller, DrMOS, and converter. The company also provides AC/DC power management chips, including isolated power and non-isolated power supply. In addition, it offers LED lighting driver chips, such as non-dimming, dimming, and smart panels. Further, the company provides motor control and driver IC related products. It serves LED lighting, high-performance computing, automotive electronics, consumer electronics, and industrial applications. Shanghai Bright Power Semiconductor Co., Ltd. was founded in 2008 and is headquartered in Shanghai, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 688368.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
