-
1 Comment
Leshan Electric Power Co., Ltd is currently in a long term uptrend where the price is trading 3.7% above its 200 day moving average.
From a valuation standpoint, the stock is 61.8% cheaper than other stocks from the Utilities sector with a price to sales ratio of 1.4.
Leshan Electric Power Co., Ltd's total revenue rose by 4.1% to $651M since the same quarter in the previous year.
Its net income has increased by 4.4% to $-72M since the same quarter in the previous year.
Finally, its free cash flow grew by 166.1% to $66M since the same quarter in the previous year.
Based on the above factors, Leshan Electric Power Co., Ltd gets an overall score of 5/5.
| Exchange | SHG |
|---|---|
| CurrencyCode | CNY |
| ISIN | CNE0000008T5 |
| Sector | Utilities |
| Industry | Utilities - Regulated Electric |
| Target Price | 15.4 |
|---|---|
| Dividend Yield | 0.2% |
| PE Ratio | 192.75 |
| Beta | 0.65 |
| Market Cap | 4B |
Leshan Electric Power Co.,Ltd, together with its subsidiaries, engages in the transmission and distribution of electricity in China. The company is also involved in gas supply and provision of installation services; producing and selling tap water; construction and operation of wastewater treatment facilities; sale of user-side, grid-side, and transformer-side energy storage; photovoltaic operation and maintenance; power construction and operation and maintenance; and provision of technology promotion services. In addition, the company engages in accommodation, catering, conference operation, training, inspection and testing, and cultural media businesses. Leshan Electric Power Co.,Ltd was founded in 1988 and is based in Leshan, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 600644.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
