-
1 Comment
Shanghai Electric Power Company Limited is currently in a long term downtrend where the price is trading 5.0% below its 200 day moving average.
From a valuation standpoint, the stock is 72.7% cheaper than other stocks from the Utilities sector with a price to sales ratio of 1.0.
Shanghai Electric Power Company Limited's total revenue rose by 2.1% to $6B since the same quarter in the previous year.
Its net income has dropped by 724.0% to $-318M since the same quarter in the previous year.
Finally, its free cash flow fell by 467.6% to $-3B since the same quarter in the previous year.
Based on the above factors, Shanghai Electric Power Company Limited gets an overall score of 2/5.
ISIN | CNE000001G53 |
---|---|
Sector | Utilities |
Industry | Utilities - Renewable |
Exchange | SHG |
CurrencyCode | CNY |
Target Price | 8.55 |
---|---|
Beta | 0.23 |
Market Cap | 25B |
PE Ratio | 14.35 |
Dividend Yield | None |
Shanghai Electric Power Co., Ltd. engages in the integration of clean energy, new energy, smart energy technology research and development and application, modern energy supply, and services in China and internationally. It is involved in photovoltaic, wind, gas electric, and thermal power generation and heating; thermal electricity generation; trading of electricity; research and development; technology development; and investment management activities. The company also provides electrical power consulting and power technical services; power supply and engineering construction services; and technology promotion and application services. Shanghai Electric Power Co., Ltd. was founded in 1882 and is headquartered in Shanghai, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 600021.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