Nanya Technology: 2026 Q3 DRAM Average Selling Price Up Over 60% QoQ, Gross Margin Reaches 85.7%
Nanya Technology's Q3 2026 revenue reached NT$133.649 billion, up 61.9% QoQ, with DRAM average selling price up over 60% QoQ and a gross margin of 85.7%. AI infrastructure has become a core revenue source for the company.
Key Takeaways
- Key Highlight：Nanya Technology's Q3 2026 revenue reached NT$133.649 billion, up 61.9% QoQ, with DRAM average selling price up over 60% QoQ and a gross margin of 85.7%. AI infrastructure has become a core revenue source for the company.
- Innovation & Tech：Highlights advancements in Nanya, Technology, Q3, demonstrating rapid progress in model capabilities.
- Industry Impact：Reported via IT之家 (CN), offering actionable signals for developers and technology leaders.
Nanya Technology released its Q3 2026 financial results, with revenue reaching NT$133.649 billion (approximately RMB 28.053 billion), up 61.9% QoQ and 611.7% YoY. The DRAM average selling price increased by over 60% QoQ, while shipment volume declined slightly. The gross margin reached 85.7%, operating margin was 80.0%, and net margin was 65.6%.
The financial report shows that AI infrastructure now accounts for a significant portion of Nanya Technology's overall revenue, indicating that AI computing demand is becoming a core driver of growth in the memory industry. As a key storage component for AI training and inference, the surge in DRAM prices reflects robust demand for AI infrastructure construction.
The sharp rise in memory prices could further increase the deployment costs of AI infrastructure, creating cost pressure on downstream AI companies. At the same time, this reflects that the global AI computing race is still accelerating, and the tight supply of memory chips is unlikely to ease in the short term.
As Taiwan's second-largest DRAM manufacturer, Nanya Technology's performance serves as a window for observing global AI infrastructure investment trends. The strong performance of the memory industry underscores the sustained pull-through demand for underlying hardware from the AI sector.
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Industry Insights & Analysis
As artificial intelligence rapidly evolves, breakthroughs surrounding Nanya, Technology, Q3, DRAM are shifting toward scalable, robust real-world implementations.
Driven by both open-source ecosystems and proprietary model architectures, the integration between compute optimization, data engineering, and agentic workflows is accelerating. This development provides a strategic benchmark for upcoming AI tooling and developer workflows.