Test report DSG-3143 · Rev D · tested November 12, 2026
Foundries & ManufacturingDevice under test
Advantest Broadens AI Chip Testing From GPUs to CPUs
Advantest lifted fiscal 2026 guidance to ¥1.863 trillion in revenue and ¥967 billion in operating profit as SoC testing expands across AI GPUs, ASICs and CPUs.
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Spec summary
- Fiscal 2026 guidance rose to ¥1.863 trillion in revenue and ¥967 billion in operating profit.
- The revenue forecast increased ¥149 billion and the profit forecast ¥121 billion versus July; SoC testers drove 88% of the revenue revision.
- Fiscal Q2 revenue reached ¥477.7 billion, up 81.7%, while operating profit climbed 146.1% to ¥266.8 billion.
- SoC testing revenue rose 103.4% to ¥353.3 billion, or 85% of revenue; gross margin reached an all-time-high 71.1%.
- Annual tester capacity is 5,000 units, while DRAM costs are expected to cut the operating margin from 54.0% in H1 to 50.1% in H2.

By Elena Vasquez
Advantest raised its fiscal 2026 full-year revenue guidance to ¥1.863 trillion and operating profit guidance to ¥967 billion, extending an AI-led testing expansion beyond GPUs.
The Japanese automated test equipment maker lifted its July revenue forecast by ¥149 billion and its profit forecast by ¥121 billion. SoC testers accounted for 88% of the upward revenue revision, confirming that system-on-chip testing drove most of the forecast change.
What did the fiscal 2026 second quarter show?
Revenue reached ¥477.7 billion, up 81.7% from a year earlier, while operating profit rose 146.1% to ¥266.8 billion. Profit therefore expanded at nearly twice the percentage pace of revenue.
- Operating margin: 55.9%.
- System-on-chip testing revenue: ¥353.3 billion, up 103.4% year on year.
- SoC testing share of group revenue: 85%.
- Gross margin: an all-time high of 71.1%.
The gross-margin increase followed a shift toward higher-margin products. Advantest makes automated test equipment, or ATE, which verifies whether a semiconductor works as designed.
Why does the mix now extend from GPUs to CPUs?
The company’s growth base is broadening from GPUs to custom chips known as ASICs and central processing units. Advantest links the broader role for CPUs in inference servers to “agentic AI,” which it describes as AI that carries out tasks without detailed human instructions.
That shift gives Advantest more exposure to AI-server testing rather than one chip category. It also changes the nature of demand: AI investment is increasing chip output while adding longer testing times and more test steps.
For expensive AI accelerators, a single defect carries a heavy cost. The combination of higher output, longer testing times and more test steps translates directly into demand for test systems.
Can tester supply keep pace with demand?
Advantest secured annual production capacity for 5,000 tester units earlier than expected. The company said the tester market has grown about 50% on average each year in recent years, with no clear signs of a slowdown.
Testing targets are expanding from GPUs, ASICs and CPUs to advanced packaging. Advantest sees growth likely continuing into 2027, supported by both higher AI chip output and the greater number of checks required per device.
Supply capacity is now in place. That does not remove the cost pressure from rising DRAM prices, which now sits more directly against Advantest’s profitability target.
What will rising DRAM prices do to margins?
Advantest expects higher DRAM prices to lower its operating margin to 50.1% in the second half of fiscal 2026, down from 54.0% in the first half. The forecast makes input costs the main variable in the revised earnings outlook.
The company plans to defend profitability in the low-50% range by increasing the mix of high-end equipment and software sales. That strategy depends on keeping premium systems and associated software large enough to offset memory-price inflation.
As competition in AI chips shifts from volume toward more sophisticated verification, Advantest expects its range of benefits to widen. The near-term result is a larger SoC business, all-time-high gross margin and higher capacity; the key issue is whether software and high-end equipment can protect operating margin as DRAM costs rise.
via en.sedaily.com (Source)
More from Elena Vasquez
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Senior reporter covering people, launches and day-to-day practice in hardware layer of artificial intelligence at Die Signal.
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