-
1 Comment
Shanghai Carthane Co.,Ltd is currently in a long term downtrend where the price is trading 4.0% below its 200 day moving average.
From a valuation standpoint, the stock is 28.1% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 3.7.
Shanghai Carthane Co.,Ltd's total revenue rose by 13.7% to $128M since the same quarter in the previous year.
Its net income has increased by 71.4% to $24M since the same quarter in the previous year.
Finally, its free cash flow grew by 509.7% to $54M since the same quarter in the previous year.
Based on the above factors, Shanghai Carthane Co.,Ltd gets an overall score of 4/5.
| ISIN | CNE100002Z73 |
|---|---|
| Industry | Auto Parts |
| Exchange | SHG |
| CurrencyCode | CNY |
| Sector | Consumer Cyclical |
| PE Ratio | 29.96 |
|---|---|
| Target Price | None |
| Market Cap | 3B |
| Beta | 0.55 |
| Dividend Yield | None |
Shanghai Carthane Co.,Ltd. operates in the auto parts manufacturing industry in China. Its products portfolio includes pedals, accelerator pedals, jounce bumpers, top mounts, callipers, spring seats, shock absorber components for chassis suspension systems and lightweight pedal assemblies for control systems, polyurethane buffer blocks, polyurethane spring pads, and polyurethane shock absorbers, etc. The company offers polyurethane load-bearing wheels in the field of non-automotive parts; and shock absorption components, pedal assemblies and rubber wheels. Its products are used in passenger car market. The company is also involved in exporting activities. Shanghai Carthane Co.,Ltd. was founded in 1995 and is based in Shanghai, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 603037.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
