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Data I/O Q2 net loss widens on interest expense from convertible debt

Data I/O Q2 net loss widens on interest expense from convertible debt


Overview

  • US microcontroller programming firm's Q2 revenue rose 59% sequentially but missed analyst expectations

  • Company posted a net loss, impacted by interest expense from recent convertible debt

  • Transformational acquisition plans on track, with exclusivity extended to end of August


Outlook

  • Company expects organic revenue growth for 2026 over 2025

  • Data I/O anticipates improved gross margins from operational optimizations in 2026

  • Planned transformational acquisition expected to nearly double annual revenue and be accretive to earnings


Result Drivers

  • HIGHER BOOKINGS & SALES MIX - Sequential revenue growth driven by increased bookings and a higher proportion of platform sales

  • END MARKET DIVERSIFICATION - Growth in bookings from non-traditional markets including edge AI and robotics, alongside favorable automotive bookings

  • MARGIN IMPROVEMENT - Gross margin rose due to positive mix shift, value-based pricing, and operational efficiencies


Company press release: ID:nGNX8nZMXs


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q2 Sales

Miss

$5.15 mln

$5.34 mln (2 Analysts)

Q2 Loss Per Share

$0.17

Q2 Net Loss

$1.63 mln


Analyst Coverage

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

  • The average consensus recommendation for the computer hardware peer group is "buy."

  • Wall Street's median 12-month price target for Data I/O Corp is $5.50, about 88.4% above its August 11 closing price of $2.92


Reuters Recommended Reads

  • Aug 11 - Ambiq Micro Q2 sales beat estimates on edge AI demand

  • Aug 11 - QuickLogic Q2 revenue rises less than expected

  • Aug 10 - inTEST slightly beats Q2 revenue estimates on auto/EV growth, keeps FY revenue view


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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