Avery Dennison Corporation (AVY) Q2 2025 Earnings Conference Call Transcript


Avery Dennison Corporation (NYSE:AVY) Q2 2025 Earnings Call July 22, 2025 11:00 AM ET

Company Participants

s – Corporate Participant
e – Corporate Participant
d – Corporate Participant
Deon M. Stander – President, CEO & Director
Gregory S. Lovins – CFO, Senior VP & Principal Financial Officer
John C. Eble – Vice President of Finance & Investor Relations
William Gilchrist – Corporate Participant

Conference Call Participants

Anthony James Pettinari – Citigroup Inc., Research Division
George Leon Staphos – BofA Securities, Research Division
Ghansham Panjabi – Robert W. Baird & Co. Incorporated, Research Division
Jeffrey John Zekauskas – JPMorgan Chase & Co, Research Division
John Patrick McNulty – BMO Capital Markets Equity Research
John Robert Dunigan – Jefferies LLC, Research Division
Joshua David Spector – UBS Investment Bank, Research Division
Matthew Burke Roberts – Raymond James & Associates, Inc., Research Division
Michael Andrew Roxland – Truist Securities, Inc., Research Divi
ion – Unidentified Company
. – Unidentified Company

Operator

Ladies and gentlemen, thank you for standing by. [Operator Instructions] Welcome to Avery Dennison’s earnings conference call for the second quarter ended on June 28, 2025. This call is being recorded and will be available for replay after 4:00 p.m. Eastern Time today, and until midnight Eastern time, July 29, 2025. To access the replay, please dial 1 (800) 770-2030 or 1 (609) 800-9909 for international callers. The conference ID number is 5855706.

I’d now like to turn the call over to John Eble, Avery Dennison’s Vice President of Finance. Please go ahead, sir.

John C. Eble

Thank you, Tiffany. Please note that throughout today’s discussion, we’ll be making references to non-GAAP financial measures. The non-GAAP measures that we use are defined, qualified and reconciled from GAAP on schedules A4 to A8 of the financial statements accompanying today’s earnings release. We remind you that we’ll make certain predictive



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