-
1 Comment
Ming Yang Smart Energy Group Limited is currently in a long term downtrend where the price is trading 5.5% below its 200 day moving average.
From a valuation standpoint, the stock is 74.3% cheaper than other stocks from the Industrials sector with a price to sales ratio of 1.3.
Ming Yang Smart Energy Group Limited's total revenue rose by 113.0% to $7B since the same quarter in the previous year.
Its net income has increased by 123.7% to $402M since the same quarter in the previous year.
Finally, its free cash flow fell by 375.0% to $-2B since the same quarter in the previous year.
Based on the above factors, Ming Yang Smart Energy Group Limited gets an overall score of 3/5.
Exchange | SHG |
---|---|
CurrencyCode | CNY |
Sector | Industrials |
Industry | Specialty Industrial Machinery |
ISIN | CNE100003HQ0 |
Target Price | 12.69 |
---|---|
PE Ratio | 71.27 |
Market Cap | 24B |
Beta | 0.39 |
Dividend Yield | None |
Ming Yang Smart Energy Group Limited engages in the research and development, design, manufacture, sale, maintenance, and operation of energy equipment, wind turbines, and core components in China. It offers onshore and offshore wind turbines; manufactures fan blades; offshore wind power technology; sells platform; wind power equipment; wind power project investment; photovoltaic product; energy project development; develops and operates wind power; technology development and service; engineering design and construction; and software and technical services. Ming Yang Smart Energy Group Limited was founded in 2006 and is based in Zhongshan, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 601615.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