World’s largest contract chipmaker TSMC sees August revenue surge over 53% to record high

by | Oct 2, 2026 | Stock Market

World’s largest contract chipmaker TSMC sees August revenue surge over 53% to record high

Taiwan Semiconductor Manufacturing Co. disclosed record monthly revenue for August, reflecting sustained demand for semiconductors used in artificial intelligence applications. The company generated 514.8 billion New Taiwan dollars, equivalent to $16.35 billion, representing a 53.3% increase compared to the prior year and a 10.1% rise from July.

TSMC’s stock declined 0.61% on the day of the announcement. The revenue milestone marked the fourth consecutive month of rising monthly sales for the world’s largest contract chipmaker. During its second-quarter earnings presentation in July, the company had characterized AI-related demand as “extremely robust,” and reported a more than 77% year-over-year increase in second-quarter profit alongside a third-quarter revenue forecast between $44.6 billion and $45.8 billion.

TSMC maintained commanding market position in the global foundry sector, controlling 72.5% of the market share during the second quarter according to data released by TrendForce. Advanced manufacturing capacity at the 5-, 4-, and 3-nanometer nodes remained fully booked throughout the period, driven by demand for AI server processors. Samsung Foundry held the second position with 5.9% market share, trailed by China’s SMIC at 5.4%.

The top ten foundries worldwide posted combined revenue approaching $53.49 billion in the second quarter, with gains partly attributed to supply constraints affecting advanced manufacturing processes utilized for AI and high-performance computing applications.

Separately, TSMC and Dutch equipment manufacturer ASML announced a collaborative initiative to facilitate industry advancement toward next-generation chipmaking technology. TSMC indicated plans to integrate ASML’s High NA technology into large-scale production for advanced nodes beginning in 2030, with broader adoption anticipated as AI applications demand increasingly sophisticated transistor designs.

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