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Q1: 2026-05-26 Earnings Summary
EPS of $0.35 beats by $0.03
|
Revenue of
$81.15M
(24.79% Y/Y)
beats by $1.31M
Ooma, Inc. (OOMA) Q1 2027 Earnings Call May 26, 2026 5:00 PM EDT
Company Participants
Matthew Robison - Director of IR & Corporate Development
Eric Stang - President, CEO & Chairman
Shigeyuki Hamamatsu - Senior VP, CFO & Treasurer
Conference Call Participants
Arjun Bhatia - William Blair & Company L.L.C., Research Division
Eric Martinuzzi - Lake Street Capital Markets, LLC, Research Division
Patrick Walravens - Citizens JMP Securities, LLC
Brian Kinstlinger - Alliance Global Partners, Research Division
Matthew Harrigan - The Benchmark Company, LLC, Research Division
Matthew Stotler
Mathew Spencer
Josh Nichols - B. Riley Securities, Inc., Research Division
Presentation
Operator
Hello, and welcome to Ooma First Quarter Fiscal Year 2027 Financial Results Conference Call. [Operator Instructions] I would now like to hand the conference over to Matthew Robison. You may begin.
Matthew Robison
Director of IR & Corporate Development
Thank you, Towanda. Good day, everyone, and welcome to the First Quarter Fiscal 2027 Earnings Call of Ooma, Inc. My name is Matt Robison, Ooma's Director of IR and Corporate Development. On the call with me today are Ooma's CEO, Eric Stang; and CFO, Shig Hamamatsu. After the market closed today, Ooma issued its first quarter fiscal 2027 earnings press release.
This release is also available on the company's website, ooma.com. This call is being webcast live and is accessible from a link on the Events and Presentations page of the Investor Relations section of our website. This link will be active for replay of this call for 1 year. During today's presentation, our executives will make forward-looking statements within the meaning of the federal securities laws.
Forward-looking statements generally relate to future events or future financial or operating performance. Our expectations and beliefs regarding these matters may not materialize, and actual results are subject to risks and uncertainties that could cause actual results to differ materially from those
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