-
1 Comment
GHT Co.,Ltd is currently in a long term downtrend where the price is trading 9.5% below its 200 day moving average.
From a valuation standpoint, the stock is 17.0% more expensive than other stocks from the Technology sector with a price to sales ratio of 9.4.
GHT Co.,Ltd's total revenue rose by 16.8% to $191M since the same quarter in the previous year.
Its net income has dropped by 18.2% to $33M since the same quarter in the previous year.
Finally, its free cash flow fell by 35.1% to $60M since the same quarter in the previous year.
Based on the above factors, GHT Co.,Ltd gets an overall score of 1/5.
| Exchange | SHE |
|---|---|
| CurrencyCode | CNY |
| ISIN | CNE100003555 |
| Sector | Technology |
| Industry | Communication Equipment |
| Market Cap | 5B |
|---|---|
| PE Ratio | 70.0 |
| Beta | 0.18 |
| Target Price | None |
| Dividend Yield | 0.5% |
GHT Co.,Ltd engages in the research and development, production, sale, and servicing of information and communication technology related products in China. It offers digital and multimedia command and dispatch systems and related products. The company's products include H20-20 program-controlled switching, IP switching, railway digital dispatching communication, fusion video, network management, audio and video recording system, dispatching terminal, and IP phone. It offers its solutions to the national defense, electric power, railways, and other industries. The company also provides equipment installation, customized training courses, and maintenance services. The company was founded in 1995 and is headquartered in Guangzhou, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 300711.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
