-
1 Comment
Chengdu Tangyuan Electric Co.,Ltd is currently in a long term downtrend where the price is trading 10.9% below its 200 day moving average.
From a valuation standpoint, the stock is 40.3% more expensive than other stocks from the Industrials sector with a price to sales ratio of 7.1.
Chengdu Tangyuan Electric Co.,Ltd's total revenue sank by 3.5% to $61M since the same quarter in the previous year.
Its net income has increased by 22.2% to $13M since the same quarter in the previous year.
Finally, its free cash flow fell by 12.4% to $-27M since the same quarter in the previous year.
Based on the above factors, Chengdu Tangyuan Electric Co.,Ltd gets an overall score of 1/5.
| Industry | Railroads |
|---|---|
| Exchange | SHE |
| ISIN | CNE100003N35 |
| Sector | Industrials |
| CurrencyCode | CNY |
| Dividend Yield | 0.6% |
|---|---|
| Beta | 0.44 |
| Target Price | None |
| Market Cap | 3B |
| PE Ratio | 58.25 |
Chengdu Tangyuan Electric Co.,Ltd. provides machine vision and robotics products and solutions primarily in China. The company offers machine vision intelligent detection equipment, big data intelligent management and control systems, robots, and other products, as well as technical services in the fields of smart transportation, emergency response, and manufacturing. It is also involved in the railway public transportation and smart station, robot and smart factory, smart emergency response, new materials, and other businesses. Chengdu Tangyuan Electric Co.,Ltd. was founded in 2010 and is based in Chengdu, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 300789.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 2026
