Hotel operator Marcus misses Q3 revenue estimates, to buy back more shares

Reuters
Oct 31, 2025
Hotel operator Marcus misses Q3 revenue estimates, to buy back more shares

Overview

  • Marcus fiscal Q3 revenue decreases 9.7% yr/yr, missing analyst expectations

  • Adjusted EBITDA for fiscal Q3 misses analyst estimates

  • Company repurchases $9 mln in shares, authorizes buyback of up to 4 mln additional shares

Outlook

  • Marcus anticipates strong film slate for remainder of 2025 and into 2026

  • Company expects continued strength in group business at Marcus Hotels

  • Marcus Board authorizes repurchase of up to 4.0 mln additional shares

Result Drivers

  • HOTEL REVENUE GROWTH - Marcus Hotels & Resorts achieved revenue growth despite a tough comparison to last year's Republican National Convention boost

  • THEATRE REVENUE DECLINE - Marcus Theatres' revenue decreased due to fewer blockbuster films and an unfavorable film mix

  • SHARE REPURCHASES - Marcus repurchased $9 mln in shares and authorized buyback of up to 4 mln additional shares

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Revenue

Miss

$210.20 mln

$214.80 mln (5 Analysts)

Q3 EPS

$0.52

Q3 Net Earnings

$16.20 mln

Q3 Adjusted EBITDA

Miss

$40.40 mln

$42.80 mln (4 Analysts)

Q3 Operating Income

$22.70 mln

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 5 "strong buy" or "buy", no "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the leisure & recreation peer group is "buy"

  • Wall Street's median 12-month price target for Marcus Corp is $24.00, about 44.9% above its October 30 closing price of $13.23

  • The stock recently traded at 22 times the next 12-month earnings vs. a P/E of 30 three months ago

Press Release: ID:nBw67brGYa

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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