-
1 Comment
Brilliance China Automotive Holdings Limited is currently in a long term uptrend where the price is trading 3.3% above its 200 day moving average.
From a valuation standpoint, the stock is 88.1% more expensive than other stocks from the Consumer Cyclical sector with a price to sales ratio of 9.1.
Based on the above factors, Brilliance China Automotive Holdings Limited gets an overall score of 1/5.
ISIN | BMG1368B1028 |
---|---|
Sector | Consumer Cyclical |
Exchange | HK |
CurrencyCode | HKD |
Industry | Auto Manufacturers |
Market Cap | 15B |
---|---|
PE Ratio | 4.48 |
Beta | 0.3 |
Dividend Yield | 0.0% |
Target Price | 3.8809 |
Brilliance China Automotive Holdings Limited, an investment holding company, manufactures and sells BMW vehicles, non-BMW vehicles, and automotive components in the People's Republic of China and internationally. The company offers minibuses and multi-purpose vehicles, as well as automobile designing services. Its automotive components include mouldings, seats, axles, safety and airbag systems, and interior decoration products, as well as engines for minibuses, sedans, sport utility vehicles, light duty trucks, etc. It also provides BMW sport activity vehicles. In addition, the company offers auto-financing services. It has strategic partnerships and alliances with BMW, Group Renault, Toyota, Magna, Bosch, Continental, Delphi, TI Automotive, and Johnson Controls. Brilliance China Automotive Holdings Limited was incorporated in 1992 and is headquartered in Central, Hong Kong.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 1114.HK 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