-
1 Comment
Hangzhou Zhongheng Electric Co., Ltd is currently in a long term downtrend where the price is trading 8.1% below its 200 day moving average.
From a valuation standpoint, the stock is 26.9% cheaper than other stocks from the Industrials sector with a price to sales ratio of 3.7.
Hangzhou Zhongheng Electric Co., Ltd's total revenue rose by 61.1% to $394M since the same quarter in the previous year.
Its net income has increased by 200.2% to $64M since the same quarter in the previous year.
Finally, its free cash flow fell by 366.9% to $-94M since the same quarter in the previous year.
Based on the above factors, Hangzhou Zhongheng Electric Co., Ltd gets an overall score of 3/5.
Exchange | SHE |
---|---|
CurrencyCode | CNY |
Sector | Industrials |
ISIN | CNE100000M05 |
Industry | Electrical Equipment & Parts |
Market Cap | 8B |
---|---|
PE Ratio | 68.95 |
Target Price | 15 |
Dividend Yield | 0.4% |
Beta | 0.2 |
Hangzhou Zhongheng Electric Co., Ltd. provides electronics manufacturing solutions in China, rest of Asia, Europe, the United States, Oceania, and internationally. The company offers prefabricated solution for data center power supply system; and charging and swapping solutions. It also provides solutions for communication power supply and distribution system, as well as power system solutions. In addition, the company provides energy storage, operation, and maintenance, microgrid, and power operation solutions. Hangzhou Zhongheng Electric Co., Ltd. was incorporated in 1996 and is headquartered in Hangzhou, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 002364.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