-
1 Comment
Budweiser Brewing Company APAC Limited is currently in a long term downtrend where the price is trading 3.3% below its 200 day moving average.
From a valuation standpoint, the stock is 136.8% more expensive than other stocks from the Consumer Defensive sector with a price to sales ratio of 7.1.
Budweiser Brewing Company APAC Limited's total revenue rose by 364.9% to $6B since the same quarter in the previous year.
Its net income has increased by 1042.2% to $514M since the same quarter in the previous year.
Finally, its free cash flow grew by 3.3% to $793M since the same quarter in the previous year.
Based on the above factors, Budweiser Brewing Company APAC Limited gets an overall score of 3/5.
Sector | Consumer Defensive |
---|---|
Industry | Beverages-Brewers |
ISIN | KYG1674K1013 |
CurrencyCode | HKD |
Exchange | HK |
Beta | 0.67 |
---|---|
Market Cap | 328B |
Target Price | 28.26 |
PE Ratio | 45.93 |
Dividend Yield | 1.0% |
Budweiser Brewing Company APAC Limited, an investment holding company, produces, imports, markets, distributes, and sells beer and other non-beer beverages primarily in China, South Korea, India, Vietnam, and the other Asia Pacific regions. The company offers a portfolio of beer brands, including Budweiser, Stella Artois, Corona, Hoegaarden, Cass, and Harbin. It also offers ready-to-drink products, energy drinks, and spirits. The company was founded in 1876 and is based in Grand Cayman, Cayman Islands. Budweiser Brewing Company APAC Limited is a subsidiary of AB InBev Brewing Company (APAC) Limited.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 1876.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 2024