-
1 Comment
Braemar Hotels & Resorts, Inc is currently in a long term uptrend where the price is trading 8.6% above its 200 day moving average.
From a valuation standpoint, the stock is 90.9% cheaper than other stocks from the Real Estate sector with a price to sales ratio of 0.9.
Braemar Hotels & Resorts, Inc's total revenue sank by 57.4% to $52M since the same quarter in the previous year.
Its net income has dropped by 268.7% to $-26M since the same quarter in the previous year.
Finally, its free cash flow grew by 11.0% to $-19M since the same quarter in the previous year.
Based on the above factors, Braemar Hotels & Resorts, Inc gets an overall score of 3/5.
| Exchange | NYSE |
|---|---|
| CurrencyCode | USD |
| Sector | Real Estate |
| Industry | REIT - Hotel & Motel |
| ISIN | US10482B1017 |
| Target Price | 4 |
|---|---|
| Dividend Yield | 6.6% |
| Market Cap | 228M |
| Beta | 0.74 |
| PE Ratio | None |
Braemar Hotels & Resorts Inc. is a real estate investment trust (REIT) focused on the high-growth luxury hotel and resort sector. The Company targets high-performance luxury urban and resort properties, specializing in assets that generate revenue per available room (RevPAR) at least twice the U.S. national average. Its industry-leading portfolio features luxury properties across the United States and the U.S. territories in the Caribbean. Externally advised by Ashford Hospitality Advisors LLC, Braemar leverages deep industry expertise and disciplined asset management to drive outsized performance.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for BHR 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 2026