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Advantest lifts March 2027 net profit forecast to ¥660 billion on AI demand

Advantest lifts March 2027 net profit forecast to ¥660 billion on AI demand

Advantest’s stronger AI-driven outlook lifted Japan chip shares and helped the Nikkei 225 end a two-session slide, even as broader earnings updates from Tokyo-listed companies pointed to widening profit strength.

Fact Check
Multiple independent financial news sources corroborate the exact claim. RTT News confirms Advantest lifted its net profit forecast for the fiscal year ending March 31, 2027 to ¥660 billion (from ¥465.5 billion), with the rationale being surging AI-related semiconductor and high-performance memory demand. Moomoo independently reports the same ¥660 billion attributable income and ¥911.64 EPS figures. The claim's headline figure (¥660 billion), fiscal target (March 2027), and AI-demand driver all align with the sources.
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Summary

Advantest raised its consolidated forecast for the fiscal year ending March 2027, lifting net profit guidance to ¥660 billion from ¥465.5 billion and operating profit guidance to ¥846 billion from ¥627.5 billion as demand for AI semiconductor testing outpaced assumptions. The chip test equipment maker also increased its 2026 semiconductor test equipment market estimate by about 19% to $13 billion-$14.5 billion and said it would urgently expand production capacity as inference AI and DRAM testing demand exceeded expectations. April-June 2026 net profit rose 93.8% year on year to a record ¥174.8 billion. The upgraded outlook helped drive Advantest shares up more than 10% and supported gains in other semiconductor and technology names, contributing to a 0.71% rise in the Nikkei 225 to 61,867, while SoftBank Group, Mitsubishi UFJ, Toyota Motor and Fast Retailing lagged. The update came amid a broader wave of strong first-quarter results and forecast increases from Tokyo-listed companies including Hitachi, NEC and Nomura Holdings ahead of a July 30 reporting peak.

Terms & Concepts
  • inference AI: AI systems that use trained models to make predictions or decisions in real-world applications
  • DRAM: A type of memory chip used for fast data processing and increasingly important in AI computing
  • Prime Market: The Tokyo Stock Exchange's top market segment for companies meeting higher standards on size, liquidity and governance