-
1 Comment
Zhuhai Enpower Electric Co.,Ltd is currently in a long term uptrend where the price is trading 12.0% above its 200 day moving average.
From a valuation standpoint, the stock is 18.6% more expensive than other stocks from the Consumer Cyclical sector with a price to sales ratio of 6.1.
Zhuhai Enpower Electric Co.,Ltd's total revenue rose by 83.5% to $176M since the same quarter in the previous year.
Its net income has increased by 140.6% to $12M since the same quarter in the previous year.
Finally, its free cash flow fell by 103.4% to $-644K since the same quarter in the previous year.
Based on the above factors, Zhuhai Enpower Electric Co.,Ltd gets an overall score of 3/5.
Exchange | SHE |
---|---|
CurrencyCode | CNY |
ISIN | CNE100003498 |
Sector | Consumer Cyclical |
Industry | Auto Parts |
Beta | -0.35 |
---|---|
Market Cap | 9B |
Dividend Yield | 0.1% |
PE Ratio | 119.89 |
Target Price | None |
Zhuhai Enpower Electric Co.,Ltd. engages in the research and development, production, and sale of new energy vehicle power systems in China and internationally. The company offers electric drive systems, comprising all-in-one new energy systems, integrated powertrains, and hybrid dual motor controllers; vehicle power platform products; and motor electronic control unit systems, such as flat wire motors, motor rotor assemblies, electric controls, medium voltage electric controls, and commercial vehicle motor controllers. Zhuhai Enpower Electric Co.,Ltd. was founded in 2005 and is based in Zhuhai, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 300681.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