Aehr Test Systems

Aehr Test Systems Earnings Recaps

AEHR Information Technology 2 recaps
Next earnings: July 14, 2026 (estimated) · full calendar
Q3 2026 Apr 8, 2026

Aehr Test delivered a strong Q3 with over $37 million in bookings, a record backlog exceeding $50 million, and significant growth driven by AI, data center, and high-performance semiconductor markets.

Key takeaways
  • Quarterly bookings surpassed $37 million with a book-to-bill ratio over 3.5x, delivering a record backlog of over $50 million.
  • Secured a $14 million follow-on order for automated wafer-level burn-in systems from a leading AI processor customer, expanding its installed base.
  • Achieved a first-to-market position by demonstrating and shipping the industry’s first wafer-level burn-in solution tailored for high-power AI processors.
  • Initiated major customer wins in silicon photonics for hyperscale data centers, with multiple systems scheduled to ship in Q4 and additional forecasts for future expansion.
  • Undergoing technical upgrades to its evaluation program after initial delays, with multiple ongoing discussions across data center and AI processor markets.
Q2 2026 Jan 9, 2026

Aehr Test Systems reported softer-than-expected revenues in Q2 FY2026, but made significant advancements in wafer-level burn-in and secured strategic partnerships that bolster future growth prospects, particularly in the AI and data center segments.

Key takeaways
  • Revenue for Q2 was below expectations; however, strong customer forecasts suggest potential bookings of $60 million to $80 million in the second half of the fiscal year.
  • The company expanded partnerships and production installations tied to AI processors and advanced semiconductor applications, indicating robust demand in high-performance computing.
  • New device wins for the Sonoma system are expected to create additional capacity and kickstart production in late calendar 2026, potentially leading to record bookings.
  • Wafer-level test and burn-in strategies are being successfully implemented, demonstrating cost and yield advantages which could expedite the transition of multiple customers to Aehr's solutions.