-
1 Comment
Beijing Tongtech Co., Ltd is currently in a long term uptrend where the price is trading 20.1% above its 200 day moving average.
From a valuation standpoint, the stock is 221.0% more expensive than other stocks from the Technology sector with a price to sales ratio of 25.8.
Beijing Tongtech Co., Ltd's total revenue rose by 58.9% to $117M since the same quarter in the previous year.
Its net income has increased by 1316.4% to $55M since the same quarter in the previous year.
Finally, its free cash flow grew by 399.0% to $42M since the same quarter in the previous year.
Based on the above factors, Beijing Tongtech Co., Ltd gets an overall score of 4/5.
Industry | Software-Application |
---|---|
CurrencyCode | CNY |
Sector | Technology |
ISIN | CNE100001RL4 |
Exchange | SHE |
Market Cap | 13B |
---|---|
Target Price | 24 |
Dividend Yield | 0.3% |
PE Ratio | 406.0 |
Beta | 0.47 |
Beijing Tongtech Co., Ltd. provides security products and solutions in China. It offers communications security, 5G innovation applications, and industrial internet security products and solutions to help users achieve business innovation, security management, and data sharing and value mining. The company provides middleware products and solutions; and information security, network security, data security, business security, and other products; and support services. Its products and solutions are used in various industries, such as telecommunications, finance, government, energy, transportation, and other industries. The company was founded in 1992 and is headquartered in Beijing, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 300379.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