-
1 Comment
Qingdao Eastsoft Communication Technology Co.,Ltd is currently in a long term uptrend where the price is trading 3.6% above its 200 day moving average.
From a valuation standpoint, the stock is 3.3% more expensive than other stocks from the Technology sector with a price to sales ratio of 8.3.
Qingdao Eastsoft Communication Technology Co.,Ltd's total revenue rose by 13.7% to $220M since the same quarter in the previous year.
Its net income has increased by 15.8% to $41M since the same quarter in the previous year.
Finally, its free cash flow fell by 76.0% to $17M since the same quarter in the previous year.
Based on the above factors, Qingdao Eastsoft Communication Technology Co.,Ltd gets an overall score of 3/5.
ISIN | CNE1000010C5 |
---|---|
Sector | Technology |
Industry | Semiconductors |
Exchange | SHE |
CurrencyCode | CNY |
Beta | 0.51 |
---|---|
Market Cap | 8B |
PE Ratio | 122.43 |
Target Price | 18.93 |
Dividend Yield | 0.6% |
Qingdao Eastsoft Communication Technology Co.,Ltd research and develops power line carrier and AMI communication solutions in China. It provides SSC1667/SSC1668, a chip broadband carrier that integrates a complete power line communication solution, such as physical layers, medium access control layers, adapter layers, network layers, application layers, and other. The company also offers carrier modules for the information transfer station between the DCU and the meter. Qingdao Eastsoft Communication Technology Co.,Ltd was incorporated in 1993 and is headquartered in Qingdao, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 300183.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