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MXL — MaxLinear News Story

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MaxLinear Q3 revenue jumps 72% on AI data center demand

MaxLinear Q3 revenue jumps 72% on AI data center demand


Overview

  • U.S. chipmaker's Q3 revenue rose 72% yr/yr, beating analyst expectations

  • Adjusted EPS for Q3 rose sharply from a year ago

  • Infrastructure revenue surged 210% yr/yr on AI data center demand


Outlook

  • MaxLinear sees Q4 revenue between $240 mln and $260 mln

  • Company expects Q4 non-GAAP gross margin of 59.0% to 62.0%

  • MaxLinear projects Q4 non-GAAP operating expenses of $65 mln to $70 mln


Result Drivers

  • AI DATA CENTER DEMAND - Infrastructure revenue surged due to accelerated adoption of optical AI data center products and ramp of Keystone PAM4 DSP platform

  • INFRASTRUCTURE GROWTH - Co attributed overall revenue growth to strong performance in AI datacenter-centric infrastructure

  • NEW PRODUCTS - Co said new product introductions expanded its footprint


Company press release: ID:nBw8FSz69a


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Revenue

Beat

$218.06 mln

$211.43 mln (10 Analysts)


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 7 "strong buy" or "buy", 3 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the semiconductors peer group is "buy"

  • Wall Street's median 12-month price target for MaxLinear, Inc. is $100.00, about 31.9% above its October 21 closing price of $75.79

  • The stock recently traded at 31 times the next 12-month earnings vs. a P/E of 79 three months ago


Reuters Recommended Reads

  • Oct 22 - TTM Technologies Q3 revenue jumps 60%, beats expectations on data center market demand

  • Oct 21 - Super Micro climbs after upbeat forecast shows robust AI demand


For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact reuters.support@thomsonreuters.com.


(This story was created using Reuters automation and AI based on LSEG and company data. It was checked and edited by a Reuters journalist prior to publication.)

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