-
1 Comment
Marriott International, Inc is currently in a long term uptrend where the price is trading 8.0% above its 200 day moving average.
From a valuation standpoint, the stock is 92.6% cheaper than other stocks from the Consumer Cyclical sector with a price to sales ratio of 4.6.
Marriott International, Inc's total revenue sank by 59.6% to $2B since the same quarter in the previous year.
Its net income has dropped by 158.8% to $-164M since the same quarter in the previous year.
Finally, its free cash flow fell by 128.6% to $-22M since the same quarter in the previous year.
Based on the above factors, Marriott International, Inc gets an overall score of 2/5.
ISIN | US5719032022 |
---|---|
Industry | Lodging |
Sector | Consumer Cyclical |
CurrencyCode | EUR |
Exchange | F |
Dividend Yield | 1.0% |
---|---|
Beta | 1.59 |
Market Cap | 46B |
Target Price | 150.9 |
PE Ratio | 22.32 |
Marriott International, Inc. operates, franchises, and licenses hotel, residential, timeshare, and other lodging properties worldwide. The company operates through U.S. and Canada, and International segments. It operates its properties under the JW Marriott, The Ritz-Carlton, Ritz-Carlton Reserve, W Hotels, The Luxury Collection, St. Regis, EDITION, Bvlgari, Renaissance, Le Méridien, Marriott, Sheraton, Westin, Four Points, Delta Hotels by Marriott, Autograph Collection, Tribute Portfolio, Marriott Hotels, Marriott Executive Apartments, Marriott Vacation Club, Gaylord Hotels, Design Hotels, Courtyard, Residence Inn, Fairfield, SpringHill Suites, TownePlace Suites, Protea Hotels, Aloft Hotels, AC Hotels by Marriott, Element Hotels, and Moxy Hotels brand names. It operates properties under 30 brand names in 138 countries and territories. Marriott International, Inc. was founded in 1927 and is headquartered in Bethesda, Maryland.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for MAQ.F 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