-
1 Comment
Chengdu Xuguang Electronics Co., Ltd is currently in a long term uptrend where the price is trading 3.2% above its 200 day moving average.
From a valuation standpoint, the stock is 48.6% cheaper than other stocks from the Industrials sector with a price to sales ratio of 2.6.
Chengdu Xuguang Electronics Co., Ltd's total revenue sank by 30.3% to $206M since the same quarter in the previous year.
Its net income has dropped by 1.9% to $24M since the same quarter in the previous year.
Finally, its free cash flow fell by 235.0% to $-46M since the same quarter in the previous year.
Based on the above factors, Chengdu Xuguang Electronics Co., Ltd gets an overall score of 2/5.
Exchange | SHG |
---|---|
CurrencyCode | CNY |
ISIN | CNE000001D49 |
Sector | Industrials |
Industry | Electrical Equipment & Parts |
Market Cap | 8B |
---|---|
PE Ratio | 71.38 |
Target Price | None |
Beta | 0.33 |
Dividend Yield | None |
Chengdu Xuguang Electronics Co., Ltd. manufactures and sells metal-ceramic triodes and tetrodes and transmitting tubes in China and internationally. The company offers electron tubes, embedded pole, vacuum interrupter, electrical and electronic ceramics, electrical switchgears, and other accessories. It provides products for industry heating and laser cutting, metal-ceramic vacuum interrupters, embedded poles, medium & high voltage power distribution switchgears, fiber optic active devices & electronic industrial equipment, advanced electric and electronic ceramic products. Chengdu Xuguang Electronics Co., Ltd. was founded in 1965 and is headquartered in Chengdu, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 600353.SHG 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