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Daimler Truck Holding AG (DTRUY) Q1 2026 Earnings Call Tr...
SA Transcripts · 2026-05-06 · via All Articles on Seeking Alpha

Daimler Truck Holding AG (DTRUY) Q1 2026 Earnings Call May 6, 2026 2:00 AM EDT

Company Participants

Marcus Poppe - Head of Investor Relations
Karin Radstrom - President, CEO & Member of the Board of Management
Eva Scherer - CFO, Finance & Controlling and Member of the Management Board
Andrew Johnson - Global Head of Communications & Government Affairs

Conference Call Participants

Nicolai Kempf - Deutsche Bank AG, Research Division
Klas Bergelind - Citigroup Inc., Research Division
Alexander Jones - BofA Securities, Research Division
Daniela Costa - Goldman Sachs Group, Inc., Research Division
Michael Aspinall - Jefferies LLC, Research Division
Lewis Merrick - BNP Paribas, Research Division
Akshat Kacker - JPMorgan Chase & Co, Research Division
Harry Martin - Bernstein Institutional Services LLC, Research Division
Hemal Bhundia - UBS Investment Bank, Research Division
Frank Biller - Landesbank Baden-Wurttemberg, Research Division
Robin Wille
Ilona Wissenbach

Presentation

Marcus Poppe
Head of Investor Relations

Good morning, ladies and gentlemen. This is Marcus Poppe speaking. On behalf of Daimler Truck, I would like to welcome you to our Q1 results global conference call. We are very happy to have you with us today, Karin Radstrom, our CEO, and Eva Scherer, our CFO. Karin [indiscernible] introduction directly followed by a Q&A session.

The respective presentation can be found on the Daimler Truck Investor Relations website. Please note that this conference call will be recorded. The replay of the conference call will also be available as an on-demand audio webcast in the Investor Relations section of Daimler Truck website.

I would like to remind you that this teleconference is governed by the safe harbor wording you will find on our published results documents. Please note, our presentation contains forward-looking statements that reflects management current views with respect to future events. Such statements are subject and uncertainties.

If the assumptions underlying any of these statements prove incorrect, then actual results may