Manhattan Associates, Inc. (MANH) Q4 2025 Earnings Call January 27, 2026 4:30 PM EST
Company Participants
Michael Bauer
Eric Clark – President, CEO & Director
Dennis Story – Executive VP, CFO & Treasurer
Conference Call Participants
Terrell Tillman – Truist Securities, Inc., Research Division
Brian Peterson – Raymond James & Associates, Inc., Research Division
George Michael Kurosawa – Citigroup Inc., Research Division
Joseph Vruwink – Robert W. Baird & Co. Incorporated, Research Division
Dylan Becker – William Blair & Company L.L.C., Research Division
J. Lane – Stifel, Nicolaus & Company, Incorporated, Research Division
Christopher Quintero – Morgan Stanley, Research Division
Guy Drummond Hardwick – Barclays Bank PLC, Research Division
Mark Schappel – Loop Capital Markets LLC, Research Division
Clark Wright – D.A. Davidson & Co., Research Division
Presentation
Operator
Good afternoon. My name is Julien, and I will be your conference facilitator today. At this time, I would like to welcome everyone to Manhattan Associates’ Q4 2025 Earnings Conference Call. [Operator Instructions] As a reminder, ladies and gentlemen, this call is being recorded today, January 27, 2026.
I would now like to introduce you to our host, Mr. Michael Bauer, Head of Investor Relations of Manhattan Associates. Mr. Bauer, you may begin your conference.
Michael Bauer
Great. Thanks, Julien, and good afternoon, everyone. Welcome to Manhattan Associates’ 2025 Fourth Quarter Earnings Call. I will review our cautionary language and then turn the call over to our President and Chief Executive Officer, Eric Clark.
During this call, including the Q&A session, we may make forward-looking statements regarding the future events or Manhattan Associates’ future financial performance. We caution you that these forward-looking statements involve risks and uncertainties, are not guarantees of future performance, and actual results may differ materially from projections contained in our forward-looking statements. I refer you to Manhattan Associates’ SEC reports for important factors that could cause actual results to differ materially from those
