-
1 Comment
YAPP Automotive Systems Co., Ltd is currently in a long term downtrend where the price is trading 2.3% below its 200 day moving average.
From a valuation standpoint, the stock is 84.4% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 0.8.
YAPP Automotive Systems Co., Ltd's total revenue sank by 9.3% to $3B since the same quarter in the previous year.
Its net income has increased by 12.5% to $105M since the same quarter in the previous year.
Finally, its free cash flow grew by 36.3% to $136M since the same quarter in the previous year.
Based on the above factors, YAPP Automotive Systems Co., Ltd gets an overall score of 3/5.
Exchange | SHG |
---|---|
CurrencyCode | CNY |
Industry | Auto Parts |
Sector | Consumer Cyclical |
ISIN | CNE1000031L2 |
Beta | 0.55 |
---|---|
Market Cap | 8B |
PE Ratio | 16.05 |
Target Price | None |
Dividend Yield | None |
YAPP Automotive Systems Co., Ltd. engages in the research and development, manufacturing, and sale and service of energy storage system products and thermal management system products. It offers fuel systems, including high-pressure fuel systems for hybrid vehicles; battery pack shells; energy storage battery pack boxes; fuel material battery hydrogen storage system, etc. The company provides extreme cold heating system and air duct, etc. It operates in China, India, Russia, the Czech Republic, Germany, the United States, Mexico, Uzbekistan, Brazil, Japan, and France. The company was founded in 1988 and is headquartered in Yangzhou, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 603013.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