Cadence Design Systems, Inc.

Cadence reported Q2 2026 revenue of $1,584 million, up 24% year over year. GAAP operating margin was 28.4%, non-GAAP operating margin was 45.5%, GAAP EPS was $1.33, and non-GAAP EPS was $2.11. The company exited the quarter with a record backlog of $8.1 billion; operating cash flow was $635 million, cash was $1,440 million, debt outstanding was $2,500 million, and shares repurchased were $200 million. For 2026, Cadence raised guidance to revenue of $6,260 million to $6,340 million, GAAP EPS of $4.76 to $4.86, non-GAAP EPS of $8.05 to $8.15, GAAP operating margin of 27.75% to 28.75%, non-GAAP operating margin of 43.75% to 44.75%, and operating cash flow of approximately $2 billion. For Q3, revenue is expected at $1,595 million to $1,625 million, with non-GAAP EPS of $2.01 to $2.07.

Anirudh Devgan said Cadence is seeing accelerating demand as AI increases design complexity and pushes customers toward more advanced chip and system architectures. He emphasized Cadence’s "three-layer cake" strategy, combining compute and data, physically accurate engines, and AI agents, and said agentic AI is both a demand accelerator and a long-term TAM expansion opportunity. His tone was highly confident, with repeated comments that Cadence’s competitive position has "never been better" and that customer interest in its super-agent portfolio is strong.

John Wall highlighted the financial strength of the quarter, citing 24% revenue growth, 45.5% non-GAAP operating margin, and record backlog of $8.1 billion. He also noted solid cash generation with $635 million of operating cash flow, $1,440 million of cash, and $200 million used for share repurchases. On guidance, he said the 2026 outlook assumes export controls remain substantially similar for the rest of the year and that Cadence expects about $2 billion of operating cash flow and roughly 50% of free cash flow to be used for buybacks. He also said second-half margin pressure reflects targeted investment in Hexagon integration and strategic opportunities like Intel, not deterioration in the business.

Analysts focused heavily on agentic AI and whether it could expand demand for Cadence or threaten tool usage. Management said agentic AI increases demand by expanding design exploration and driving more calls to Cadence’s underlying engines, while the company expects monetization through new workflow products and higher usage rather than a sudden step-function shift. Questions also probed IP growth, Intel, and the large increase in bookings; management said IP growth was mostly organic, Intel is a multi-year incremental opportunity, and bookings reflect broad structural demand, strong add-ons, and a favorable but still early-stage AI cycle.