-
1 Comment
Xiangyang Automobile Bearing Co., Ltd is currently in a long term uptrend where the price is trading 4.8% above its 200 day moving average.
From a valuation standpoint, the stock is 65.0% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 1.8.
Xiangyang Automobile Bearing Co., Ltd's total revenue rose by 37.0% to $321M since the same quarter in the previous year.
Its net income has increased by 10.8% to $-22M since the same quarter in the previous year.
Finally, its free cash flow grew by 40.3% to $-23M since the same quarter in the previous year.
Based on the above factors, Xiangyang Automobile Bearing Co., Ltd gets an overall score of 5/5.
Exchange | SHE |
---|---|
CurrencyCode | CNY |
ISIN | CNE0000008Z2 |
Sector | Consumer Cyclical |
Industry | Auto Parts |
Market Cap | 6B |
---|---|
PE Ratio | None |
Beta | 0.65 |
Target Price | None |
Dividend Yield | None |
Xiangyang Automobile Bearing Co., Ltd. researches, develops, manufactures, and sells automobile bearings in China. The company offers ball, TRB, CRB, NRB, CHB, CVJ, CJ, and other bearings. It also provides various bearing products in the areas of machinery, agricultural machinery, household appliances, wind power, etc. The company's products are used in heavy-duty, medium-duty, light-duty, and mini-duty trucks, as well as cars. It also exports its products to Europe, the United States, Southeast Asia, and other countries and regions. In addition, the company engages in automotive and machinery manufacturing, as well as investment business. Xiangyang Automobile Bearing Co., Ltd. was founded in 1968 and is headquartered in Xiangyang, China.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 000678.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 2025