-
1 Comment
Harbin Electric Corporation Jiamusi Electric Machine CO.,Ltd is currently in a long term downtrend where the price is trading 15.9% below its 200 day moving average.
From a valuation standpoint, the stock is 50.6% cheaper than other stocks from the Industrials sector with a price to sales ratio of 2.5.
Harbin Electric Corporation Jiamusi Electric Machine CO.,Ltd's total revenue rose by 18.9% to $639M since the same quarter in the previous year.
Its net income has increased by 160.3% to $207M since the same quarter in the previous year.
Finally, its free cash flow grew by 6535.3% to $136M since the same quarter in the previous year.
Based on the above factors, Harbin Electric Corporation Jiamusi Electric Machine CO.,Ltd gets an overall score of 4/5.
CurrencyCode | CNY |
---|---|
ISIN | CNE0000007V3 |
Industry | Specialty Industrial Machinery |
Exchange | SHE |
Sector | Industrials |
Beta | 0.74 |
---|---|
Dividend Yield | 0.6% |
Target Price | 21.8 |
PE Ratio | 21.9 |
Market Cap | 8B |
Harbin Electric Corporation Jiamusi Electric Machine CO.,Ltd manufactures and sells electric motors in the People's Republic of China. The company provides wind turbines, shielding products, and nuclear power products, as well as equipment. It also exports its products to 48 countries and regions. The company was formerly known as Acheng Relay Co., Ltd. and changed its name to Harbin Electric Corporation Jiamusi Electric Machine CO.,Ltd in September 2012. The company is based in Jiamusi, the People's Republic of China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 000922.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 2024