Xenia Hotels Q2 adjusted FFO per share rises on higher average daily rate
Reuters2026/07/30 10:50
Overview
U.S. lodging REIT reported Q2 net loss, reversing prior-year profit
Adjusted FFO per share for Q2 rose 7% yr/yr
Company raised full-year adjusted EBITDAre guidance by $7 mln
Outlook
Xenia raises midpoint of 2026 Adjusted EBITDAre guidance by $7 mln to $273 mln
Company now sees 2026 Same-Property RevPAR up 4.75%-6.25% vs 2025
Xenia expects 2026 Adjusted FFO of $187 mln to $199 mln
Result Drivers
ADR GROWTH - Co said higher average daily rate drove increases in Same-Property RevPAR and Adjusted FFO per share
DEMAND TRENDS - Co cited encouraging demand trends across a large and diverse cross-section of its markets
GROUP BOOKINGS - Co said group demand at Grand Hyatt Scottsdale was the strongest in the resort's history
Company press release: ID:nPn5BTZw0a
Key Details
Metric |
Beat/Miss |
Actual |
Consensus Estimate |
Q2 Net Loss |
|
$19.34 mln |
|
Q2 Adjusted FFO |
|
$57.69 mln |
|
Q2 Adjusted FFO Per Share |
|
$0.61 |
|
Q2 Dividend |
|
$0.14 |
|
Analyst Coverage
The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 4 "strong buy" or "buy", 1 "hold" and no "sell" or "strong sell"
The average consensus recommendation for the specialized reits peer group is "hold."
Wall Street's median 12-month price target for Xenia Hotels Resorts Inc is $21.00, about 3.8% below its July 29 closing price of $21.82
The stock recently traded at 46 times the next 12-month earnings vs. a P/E of 56 three months ago
Reuters Recommended Reads
July 29 - Pebblebrook Hotel Trust Q2 hotel EBITDA rises on strong leisure, group demand at resorts
July 28 - REIT BXP raises 2026 FFO forecast amid return-to-office push
July 29 - Resilient tourists help US travel firms absorb Middle East shock
For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact reuters.support@thomsonreuters.com.
(This story was created using Reuters automation and AI based on LSEG and company data. It was checked and edited by a Reuters journalist prior to publication.)
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
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