-
1 Comment
Sinomach Automobile Co., Ltd is currently in a long term downtrend where the price is trading 5.3% below its 200 day moving average.
From a valuation standpoint, the stock is 96.0% cheaper than other stocks from the Industrials sector with a price to sales ratio of 0.2.
Sinomach Automobile Co., Ltd's total revenue rose by 7.7% to $12B since the same quarter in the previous year.
Its net income has dropped by 82.7% to $20M since the same quarter in the previous year.
Finally, its free cash flow grew by 436.4% to $680M since the same quarter in the previous year.
Based on the above factors, Sinomach Automobile Co., Ltd gets an overall score of 3/5.
Sinomach Automobile Co.,Ltd. provides automotive engineering systems services in China. The company offers engineering systems services, automobile distribution services, and car rental services, as well as automotive welding, painting, final assembly, casting and forging, logistics, and digital and intelligent operations. It also provides certification assistance, customs clearance, warehousing, logistics, and distribution; port and logistics services; export trade services; project management services; engineering supervision services; testing services; and park management services. In addition, the company is involved in automobile and spare parts wholesale; car rental; engineering design activities; casting machinery manufacturing; journal publishing; and freight forwarding. Sinomach Automobile Co.,Ltd. was founded in 1999 and is headquartered in Tianjin, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 600335.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 2026