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ACM Research, Inc. (ACMR) Q2 2025 Earnings Call Transcript

August 6, 2025
in Market & News
Reading Time: 2 mins read
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ACM Research, Inc. (ACMR) Q2 2025 Earnings Call Transcript
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ACM Research, Inc. (NASDAQ:ACMR) Q2 2025 Earnings Conference Call August 6, 2025 8:00 AM ET

Company Participants

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Hui Wang – Founder, Chairman, CEO & President
Mark A. McKechnie – CFO, Executive VP, Secretary & Treasurer
Yi Lu Feng – CFO, Head of Finance & Finance Director

Conference Call Participants

Edison Lee – Jefferies LLC, Research Division
Jimmy Hang – Unidentified Company
Mark S. Miller – The Benchmark Company, LLC, Research Division
Matthew Cook – Unidentified Company
Suji Desilva – ROTH Capital Partners, LLC, Research Division
Yu Shi – Needham & Company, LLC, Research Division
Steven Pelayo – Unidentified Company

Operator

Good day, ladies and gentlemen. Thank you for standing by, and welcome to the ACM Research Second Quarter 2025 Earnings Conference Call. [Operator Instructions] As a reminder, we’re recording today’s call. If you have any objections, you may disconnect at this time.

Now I will turn the call over to Mr. Steven Pelayo, Managing Director of the Blueshirt Group. Steven, please go ahead.

Steven Pelayo

Good day, everyone. Thank you for joining us to discuss second quarter 2025 results, which we released before the U.S. market opened today. The release is available on our website as well as from our newswire services. There is also a supplemental slide deck posted in the Investors section of our website that we will reference during our prepared remarks today.

On the call with me today are our CEO, David Wang; our CFO, Mark McKechnie; and Lisa Feng, our CFO of our operating subsidiary, ACM Shanghai.

Before we continue, please turn to Slide 2. Let me remind you that the remarks made during this call may include predictions, estimates or other information that might be considered forward-looking. These forward-looking statements represent ACM’s current judgment for the future. However, they are subject to risks and uncertainties that could cause actual results

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