Sirius XM Holdings Inc. (SIRI) Q1 2026 Earnings Call April 30, 2026 8:00 AM EDT
Company Participants
Jennifer Digrazia
Jennifer Witz – CEO & Director
Zachary Coughlin – CFO & Executive VP
Wayne Thorsen – Executive VP & COO
Scott Walker – Senior VP & Chief Advertising Revenue Officer
Scott Greenstein – President and Chief Content Officer
Conference Call Participants
Stephen Laszczyk – Goldman Sachs Group, Inc., Research Division
Jessica Reif Cohen – BofA Securities, Research Division
Barton Crockett – Rosenblatt Securities Inc., Research Division
Bryan Kraft – Deutsche Bank AG, Research Division
Sebastiano Petti – JPMorgan Chase & Co, Research Division
David Joyce – Seaport Research Partners
Kutgun Maral – Evercore ISI Institutional Equities, Research Division
Steven Cahall – Wells Fargo Securities, LLC, Research Division
Cameron Mansson-Perrone – Morgan Stanley, Research Division
Clayton Griffin – MoffettNathanson LLC
Presentation
Operator
Greetings. Welcome to the SiriusXM’s First Quarter 2026 Earnings Call. [Operator Instructions] As a reminder, this conference is being recorded.
It is now my pleasure to introduce Jennifer DiGrazia, Senior Vice President of Investor Relations. Thank you, Jennifer. You may begin.
Jennifer Digrazia
Thank you, and good morning, everyone. Welcome to SiriusXM’s First Quarter 2026 Earnings Call. Today’s discussion will include prepared remarks from Jennifer Witz, our Chief Executive Officer; and Zac Coughlin, our Chief Financial Officer. Following their comments, we will open the call for questions. Joining us for the Q&A portion are Scott Greenstein, our President and Chief Content Officer; Wayne Thorsen, our Chief Operating Officer; and Scott Walker, our Chief Advertising Revenue Officer.
I would like to remind everyone that certain statements made during the call might be forward-looking statements as the term is defined in the Private Securities Litigation Reform Act of 1995. These and all forward-looking statements are based upon management’s current beliefs and expectations and necessarily depend upon assumptions, data or methods that may be incorrect or
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