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Qualcomm Reports $10.6B in Q2 FY26 Revenue, AI and Data Center Expansion

Qualcomm Incorporated reported fiscal second-quarter 2026 revenue of $10.6 billion, with GAAP EPS of $6.88 and non-GAAP EPS of $2.65. The quarter included a significant $5.7 billion tax benefit tied to the release of a valuation allowance, which materially boosted GAAP net income. Core operating performance reflected mixed trends, with overall QCT revenues declining 4% year-over-year amid continued softness in the handset market.

The company emphasized diversification gains across automotive and IoT segments, which together grew 20% year-over-year. Automotive revenue reached a record $1.33 billion, up 38%, while IoT revenue increased 9% to $1.73 billion. Handset revenues declined 13% to $6.0 billion, reflecting ongoing demand pressure and memory-related constraints affecting OEM purchasing patterns. QTL licensing revenues rose 5% to $1.38 billion, maintaining strong margins at 72%.

Cristiano Amon pointed to strategic momentum in AI and data center initiatives, including a custom silicon engagement with a leading hyperscaler expected to begin initial shipments later in 2026. The company also returned $3.7 billion to shareholders during the quarter and completed $5.4 billion in share repurchases in the first half of fiscal 2026, alongside a newly authorized $20 billion buyback program. Qualcomm expects Q3 FY2026 revenues in the range of $9.2 billion to $10.0 billion, with non-GAAP EPS projected between $2.10 and $2.30.

“We are in a period of profound industry transformation — the rise of AI agents is reshaping our roadmap across every platform we develop. We are equally excited by our entry into the data center, where a leading hyperscaler custom silicon engagement is on track for initial shipments later this calendar year.”

🌐 Analysis: Qualcomm’s results reinforce a multi-year transition away from handset dependency toward automotive, IoT, and emerging AI infrastructure markets. The data center silicon engagement signals a direct challenge to incumbents such as NVIDIA, AMD, and custom ASIC programs at hyperscalers, aligning Qualcomm with broader industry shifts toward heterogeneous compute and domain-specific acceleration. Continued pressure in handsets underscores the urgency of this diversification strategy, particularly as memory constraints and regional demand variability persist.

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