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GLPI — Gaming and Leisure Properties News Story

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FinancialsConservativeLarge CapNeutral

GLPI Q3 revenue misses estimates

Overview

GLPI Q3 revenue missed analyst expectations, Adjusted FFO beat estimates

Company's diversified tenant base and recent acquisitions drove financial performance

GLPI acquired Sunland Park Racetrack & Casino, expanding Strategic Gaming relationship

Outlook

Company estimates full-year 2025 AFFO between $1.115 bln and $1.118 bln

GLPI commits up to $225 mln for PENN's Aurora project

Company sees no material changes in economic conditions affecting 2025 results

Result Drivers

DIVERSIFIED TENANT BASE - GLPI's record Q3 revenue and AFFO were driven by its diversified base of existing tenants and leases, as well as recent acquisitions and financing arrangements

PENN FUNDING AGREEMENTS - GLPI's funding for PENN Entertainment projects, including Hollywood Casino Joliet, contributed to financial results with a 7.75% cap rate

TRIBAL GAMING EXPANSION - GLPI's new financing agreement with the Ione Band of Miwok Indians marks a first-of-its-kind REIT funding structure for tribal gaming

Key Details

MetricBeat/MissActualConsensus Estimate
Q3 RevenueMiss$397.60 mln$398.13 mln (15 Analysts)
Q3 Net Income$248.50 mln
Q3 Adjusted EBITDAMiss$366.40 mln$367.92 mln (12 Analysts)
Q3 Adjusted FFOBeat$282 mln$0.96 (16 Analysts)
Q3 FFO$315.50 mln
Q3 Operating Income$337.20 mln
Analyst Coverage The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 14 "strong buy" or "buy", 9 "hold" and 1 "sell" or "strong sell" The average consensus recommendation for the specialized reits peer group is "buy" Wall Street's median 12-month price target for Gaming and Leisure Properties Inc is $53.50, about 18.4% above its October 29 closing price of $43.65 Press Release: ID:nGNX4SRrkP For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact RefinitivNewsSupport@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.)

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