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Advantest (6857) Q2 2025 earnings summary

Event summary combining transcript, slides, and related documents.

Logotype for Advantest Corporation

Q2 2025 earnings summary

18 Jan, 2026

Executive summary

  • Achieved record sales, operating income, and net income in Q2 FY2024, driven by strong demand for high-performance AI and HPC semiconductors, improved sales mix, and yen depreciation.

  • Operating margin exceeded 30% for the first time since Q2 FY2022, with net sales for the first half rising 51.4% year-over-year to ¥329.2 billion.

  • Overseas sales accounted for over 97% of total sales.

  • Upward revision of full-year FY2024 guidance based on robust Q2 and first-half performance.

  • Share repurchase program of up to JPY 50 billion (up to 9 million shares) authorized to enhance shareholder returns.

Financial highlights

  • Q2 FY2024 sales reached JPY 190.5 billion, up 37.3% sequentially and 63.8% year-over-year; gross profit increased to ¥187.0 billion.

  • Operating income for Q2 was JPY 63.6 billion, up 2.0x sequentially and 3.0x year-over-year; net income for Q2 was JPY 45.4 billion, up 90.5% year-over-year.

  • Basic EPS for Q2 was JPY 61.56; full-year forecast raised to JPY 165.01.

  • Cash and cash equivalents at period end were ¥167.2 billion, up ¥60.5 billion from March 31, 2024.

  • Operating cash flow and free cash flow improved with higher sales and profit.

Outlook and guidance

  • Full-year FY2024 forecast revised upward: net sales ¥640.0 billion (+31.6%), operating income ¥165.0 billion (+102.1%), net income ¥122.0 billion (+95.9%).

  • Gross profit margin for FY2024 expected to reach 55%, up from previous 52% forecast.

  • SoC tester sales forecast revised up to JPY 324 billion, memory tester sales to JPY 146 billion, and mechatronics to JPY 65 billion.

  • Service support and others segment forecast at JPY 105 billion, with some softness in SLT and test socket businesses.

  • Cautious outlook for second half due to assumed stronger yen, supply constraints, and slow recovery in non-AI applications.

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