Cadence (CDNS) Q4 FY25 earnings call: guidance and Q&A

Will AI reduce or eliminate demand for EDA/IP or lead to displacement by internal tools?

AI increases the usage of Cadence tools, as AI agents call underlying physics-based software. ChipStack automates previously manual tasks (RTL writing) but still relies on core tools for verification and optimization, leading to increased overall tool usage.

“Overall, to answer your question, we have seen absolutely no discussion with customers of reducing the usage. On the contrary, all these AI tools are increasing the usage of our tools.”

asked by Vivek Arya · answered by Anirudh Devgan

How is the 2026 outlook approached, especially regarding recurring revenue acceleration and the lifecycle of the Z3 hardware platform?

The 2026 guidance reflects strong momentum and backlog across all businesses. Hardware is expected to have a strong first half, with prudence built into the second half guidance. The Z3 platform is still capable of handling 1 trillion transistor designs, and demand for hardware is stronger than the previous year.

“But in terms of demand, we don't see any difference versus -- if you ask me this year versus last year, the demand is only stronger, and you can see that in the backlog.”

asked by Joseph Vruwink · answered by Anirudh Devgan

Can you quantify the benefits customers are getting from AI workflows (productivity, time to market) and explain the monetization strategy?

AI workflows deliver significant productivity gains, such as 4x for Samsung using Cerebrus AI Studio and 7-10x for Altera with ChipStack. Physical design sees 7-12% PPA improvement. Monetization involves charging for Agentic flows as a 'virtual engineer' and increased usage of base tools due to more extensive design exploration.

“So I think the results are real. We have demand from almost all customers now to engage rapidly because they want to deploy AI in their R&D function.”

asked by James Schneider · answered by Anirudh Devgan

Was SD&A revenue growth impacted by a shift to 1-year license terms, and what is the expected revenue contribution from the Hexagon acquisition?

SD&A growth was affected by lapping tough comps from Q4 2024 multi-year deals and a deliberate shift to annual subscriptions for BETA. Hexagon's annualized revenue is approximately $200 million, but its contribution is not included in the 2026 guidance, though it could be around $150 million if closed by Q1 end.

“In relation to Hexagon, I think the annualized -- I think we've said this before at some fireside chats that the annualized revenue for Hexagon is about $200 million on a year basis.”

asked by Gary Mobley · answered by John Wall

Regarding the marquee hyperscaler adopting Cadence digital full flow for a COT chip, what is the expected ramp and proliferation of COT for other chips?

The trend of hyperscalers designing their own chips is irreversible and accelerating. While specific customer details are confidential, multiple customers are expected to increase in-house chip design, moving from ASIC to hybrid COT and full COT. This will drive more EDA, IP, hardware, and system tool consumption.

“And I have said for a while that this trend of -- first of all, the trend that the customers, especially these big hyperscalers will do their own chips is even more firm now than 1 or 2 years ago.”

asked by Charles Shi · answered by Anirudh Devgan

How does the current AI phenomenon differ from past generational changes in EDA, particularly regarding contract durations and long-term impact?

Cadence is not seeing any change in contract durations. The AI phenomenon is expected to be long-lasting, creating opportunities for new product categories like Agentic AI for RTL writing and verification. The company's sales models adapt to align price with value while preserving the durability of its recurring revenue model.

“I think what you can count on us to do is that we won't undermine customer predictability that subscriptions will remain the anchor in terms of our primary engagement with our customers.”

asked by Jay Vleeschhouwer · answered by John Wall

Is there cannibalization between ChipStack and Cerebrus? What about competition from AI startups? Are there compute constraints for running more agents?

ChipStack focuses on front-end RTL automation, while Cerebrus is for implementation, with multiple Agentic flows under development. Cadence monitors startups but relies on its R&D and deep customer engagements. AI-driven exploration can run 10-100 experiments in parallel, increasing usage of base tools, implying higher compute demand.

“So there's digital design and verification is one area. physical design in another area. Analog, of course, is ripe for. Finally, we have new technology to see if we can automate more and more of analog and migration flows.”

asked by Gianmarco Conti · answered by Anirudh Devgan