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LAMR — Lamar Advertising News Story

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Lamar Advertising Q2 revenue rises on increased customer demand

Lamar Advertising Q2 revenue rises on increased customer demand


Overview

  • U.S. outdoor advertising firm's Q2 revenue rose 6.5%, beating analyst expectations

  • Net income for Q2 increased 6.2% to $164.6 mln

  • Company raised 2026 diluted AFFO per share guidance to $8.75-$8.90


Outlook

  • Lamar raises 2026 diluted AFFO per share guidance to $8.75-$8.90

  • Company expects 2026 diluted EPS between $5.95 and $5.99

  • Lamar cites strong customer demand and positive pacing for remainder of 2026


Result Drivers

  • CUSTOMER DEMAND - Co said results were driven by customer appreciation for outdoor advertising and ability to connect advertisers with audiences, per CEO Sean Reilly


Company press release: ID:nGNX5b8ssF


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q2 Revenue

Beat

$616.75 mln

$606.61 mln (4 Analysts)

Q2 EPS

$1.58

Q2 Net Income

$164.64 mln

Q2 Adjusted EBITDA

$303.36 mln

Q2 Free Cash Flow

$218.71 mln


Analyst Coverage

  • The current average analyst rating on the shares is "hold" and the breakdown of recommendations is 1 "strong buy" or "buy", 6 "hold" and no "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 Lamar Advertising Co is $160.00, about 1.2% above its August 5 closing price of $158.18

  • The stock recently traded at 26 times the next 12-month earnings vs. a P/E of 24 three months ago


Reuters Recommended Reads

  • Aug 5 - Sinclair Q2 revenue rises on political advertising strength

  • Aug 5 - Magnite Q2 revenue rises 11%, beats estimates, lifts outlook

  • Aug 5 - Digital ad firm Taboola's Q2 revenue rises, but misses estimates


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.)

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