CEVA Q3 revenue misses estimates; sees strong Q4

By Reuters News


Overview

  • Silicon IP licensor's Q3 revenue rose 2% yr/yr but missed analyst expectations

  • Company achieved record AI licensing revenues, over 35% of licensing and related revenues

  • Royalty revenues grew 3% yr/yr and 18% sequentially, driven by modem ramp at U.S. customer


Outlook

  • Company expects a strong Q4 2026 for both revenue and profit

  • Company sees multi-year smartphone royalty growth opportunity through 2027 and beyond

  • Company expects to begin earning initial NPU royalties as AI business expands


Result Drivers

  • AI LICENSING - Record AI licensing revenues contributed over 35% of licensing and related revenues

  • MODEM RAMP & CONNECTIVITY - Sequential royalty revenue growth was driven by modem ramp at a major U.S. customer and strength in IoT and connectivity, partly offset by weakness in memory-related consumer devices

  • NEW LICENSING AGREEMENTS - Ten IP licensing deals signed, including expansion with new and existing customers in AI and connectivity


Company press release:


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Revenue

Miss

$29.10 mln

$32.71 mln (9 Analysts)

Q3 Loss Per Share

$0.08

Q3 Net Loss

$2.30 mln

Q3 Adjusted Gross Margin

86.00%

Q3 Adjusted Operating Income

$2.50 mln


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 9 "strong buy" or "buy", 1 "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 Ceva, Inc. is $42.00, about 55% above its November 6 closing price of $27.10

  • The stock recently traded at 37 times the next 12-month earnings vs. a P/E of 47 three months ago


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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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