-
1 Comment
Sichuan New Energy Power Company Limited is currently in a long term uptrend where the price is trading 39.6% above its 200 day moving average.
From a valuation standpoint, the stock is 81.8% more expensive than other stocks from the Basic Materials sector with a price to sales ratio of 7.3.
Sichuan New Energy Power Company Limited's total revenue rose by 6.1% to $355M since the same quarter in the previous year.
Its net income has increased by 116.9% to $1M since the same quarter in the previous year.
Finally, its free cash flow grew by 13.3% to $-445M since the same quarter in the previous year.
Based on the above factors, Sichuan New Energy Power Company Limited gets an overall score of 4/5.
Exchange | SHE |
---|---|
CurrencyCode | CNY |
ISIN | CNE0000014Z0 |
Sector | Basic Materials |
Industry | Chemicals |
Beta | 1.25 |
---|---|
PE Ratio | 19.81 |
Target Price | 15.51 |
Market Cap | 20B |
Dividend Yield | 1.5% |
Sichuan New Energy Power Company Limited produces and sells chemical fertilizers, basic chemical raw materials, and organic chemical products in China. It primarily provides synthetic ammonia, urea, melamine, ammonium nitrate, sulfuric acid, and hydrogen peroxide. The company also invests, constructs, and operates wind power and photovoltaic power stations; and develops new energy power business, such as biomass energy, solar heat, and geothermal energy. In addition, it engages in the lithium ore mining and dressing, lithium salt production, and lithium battery business. The company was formerly known as Sichuan Chemical Company Limited. Sichuan New Energy Power Company Limited was founded in 1997 and is headquartered in Chengdu, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 000155.SHE 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