-
18 Comments
McDonald's Corporation is currently in a long term uptrend where the price is trading 5.2% above its 200 day moving average.
From a valuation standpoint, the stock is 90.5% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 8.8.
McDonald's Corporation's total revenue sank by 0.7% to $5B since the same quarter in the previous year.
Its net income has dropped by 12.4% to $1B since the same quarter in the previous year.
Finally, its free cash flow grew by 32.2% to $2B since the same quarter in the previous year.
Based on the above factors, McDonald's Corporation gets an overall score of 3/5.
Mike Johns
Follow
3 years, 3 months ago
|
InvestorsObserver
Follow
3 years, 4 months ago
|
thirtyninthparallel
Follow
3 years, 4 months ago
|
Sector | Consumer Cyclical |
---|---|
CurrencyCode | USD |
Exchange | NYSE |
ISIN | US5801351017 |
Industry | Restaurants |
Target Price | 296.61 |
---|---|
PE Ratio | 34.7 |
Dividend Yield | 2.1% |
Beta | 0.62 |
Market Cap | 211B |
McDonald's Corporation operates and franchises McDonald's restaurants in the United States and internationally. The company's restaurants offer hamburgers and cheeseburgers, chicken sandwiches and nuggets, fries, salads, shakes, frozen desserts, sundaes, soft serve cones, bakery items, soft drinks, coffee, and beverages and other beverages, as well as breakfast menu, including muffins, Sausages, biscuit and bagel sandwiches, oatmeal, hash browns, breakfast burritos and hotcakes. McDonald's Corporation was founded in 1940 and is headquartered in Chicago, Illinois.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for MCD 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