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Earnings callNasdaq· January 16, 2026

Aehr Test (AEHR) Q2 2026 Earnings Call Transcript

View original at nasdaq.com
Aehr Test (AEHR) Q2 2026 Earnings Call Transcript Image source: The Motley Fool. DATE Thursday, January 8, 2026 at 5:00 p.m…
Opening lines of the source · Nasdaq · short snapshot — read the full document at the original

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  • Single AI processor wafer-level testing requires 20-30 systems at $4M-$5M each

    80% confidence
  • Testing and burning-in full wafers of GaN power semiconductors with up to 600 volts or more is not easy

    80% confidence
  • Lead Sonoma production customer provided very large forecast with shipments expected to start Q1 FY2027

    80% confidence
  • AI test and burn-in spending is currently $8B to $15B

    80% confidence
  • Aehr is not profitable at current revenue levels

    80% confidence
  • Aehr is the leading provider for HTOL testing of AI processors in test houses worldwide

    80% confidence
  • High Bandwidth Flash (HBF) development would take 1+ year after customer commitment

    80% confidence
  • Bookings forecast of $60M to $80M for second half FY2026 based on customer forecasts recently provided to Aehr

    80% confidence
  • The AI business opportunity for Aehr Test can be measured in hundreds of millions of dollars within a few years

    80% confidence
  • Aehr production capacity exceeds 20 systems per month at either package or wafer level, and can ship 20 per month of each if needed

    80% confidence
  • At least one customer is transitioning HTOL to production in late calendar 2026

    80% confidence
  • WaferPak design turnaround time is 8 weeks with Design for Test (DFT) lower pin count modes

    80% confidence

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Enterprise software vendors are repositioning around autonomous AI agents. Salesforce is acquiring Braze, ServiceNow is launching agent governance tools (AI Passport, Super Intelligence Control Tower), SAP is pushing its 'Autonomous Enterprise', and Zeta is launching AthenaOS and its own inference model. Palantir is embedding itself in banking, aviation and sovereign AI infrastructure through partnerships with Customers Bank, Surf Air, Ondas and Armada. Governance, data sovereignty and enforced policy are emerging as preconditions for regulated sectors like finance. Investors such as Norwest see room to disrupt ERP and finance software, and they caution that AI should not be trusted with financial calculations. Consolidation and shareholder disputes (Salesforce/Braze, Tiny/Oso Cloud, ZenaTech/Boardwalktech) show the market reshaping.
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EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
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ING Group
Both facts record the same metric (shares_outstanding) for ING Group at the identical observation date (2025-12-31). FACT A states 2,902,437,688 shares; FACT B states 2,902 million shares (2,902,000,000). The difference is 437,688 shares (~0.015%). This is a genuine value conflict, though the discrepancy appears to result from FACT B rounding to the nearest million while FACT A provides the precise count.
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