Oct 26, 2026 earnings call — Major launch of Maestro AI models
Cadence raised its 2026 revenue outlook to 21% growth and EPS outlook by $0.30 to $8.40.
Revenue $1.6B (est $1.6B) · EPS $2.11 (est $2.05) · Next-quarter revenue outlook $1.7B–$1.7B
Key quotes
"A portfolio of domain specialized AI models purpose build, for chip and system design."
"We added a new agent to ChipStack. For our deal generation and early PPA optimization. That created RTL delivering average of 24% area and 18% power reduction."
"As AI and HPC designs, continue to grow in scale and complexity, hardware assisted verification, has become an increasingly strategic capability for our customers."
Analyst Q&A 13
New Maestro AI product
Q (Jason Celino · KeyBanc): Analyst asked what Maestro is, whether Cadence builds domain-specific models, and how it will be monetized.
A: Management said Maestro is the next generation of agents combining domain-specialized models, model routing to pick the right model for tasks, and tight integration with Cadence tools to improve results and efficiency.
"So I am actually super excited, and I think this is what is going to happen in all industries." — Anirudh Devgan (CEO)
Recurring revenue from agentic AI
Q (Jim Schneider · Goldman Sachs): Analyst asked about monetization and the change in recurring revenue growth versus last quarter and whether agentic AI recurring revenue accelerated.
A: Management said recurring revenue is improving and attributed growth to agentic AI plus more usage of base tools. They noted some regional timing differences but expect recurring revenue to do well in 2026.
"So I expect recurring revenue to do very well in 2026." — Anirudh Devgan (CEO)
Margins and growth positioning
Q (Vivek Arya · BofA): Analyst wanted Cadence's view on competitor claims about growth, margins, and a royalty model, and how Cadence plans to maintain market share and margins.
A: Management reported they expect about 21% revenue growth and slightly less than 45% margin for the year, resulting in revenue plus margin (rule of 40) above 65. They said Cadence is gaining share across IP, hardware, EDA and has options like royalties but views many business models.
"So I think we will end the year, if you look at our guide, about 21% revenue growth slightly less than 45% margin." — Anirudh Devgan (CEO)
Hardware demand and inventory build
Q (Siti Panigrahi · Mizuho): Analyst asked why hardware grew while inventory rose, whether hardware growth is sustainable into 2027, and if G&A had any one-time items.
A: Management said hardware had a record quarter driven by AI and HPC demand and cloud access interest, with a strong Q4 pipeline, and inventory rose to support significant backlog with no supply constraints. G&A increase reflected timing of annual charitable contributions.
"We delivered another record quarter supported by strong demand from AI and HPC customers, and we are also seeing growing interest in cloud based hardware access." — John Wall (CFO)
Operating profit outlook change
Q (Joe Quatrochi · Wells Fargo): Analyst asked about the change in the 2026 outlook, especially operating profit and why incremental margins differ from prior targets.
A: Management said they now expect approximately 44.7% non GAAP operating margin for 2026, slightly above last year, and explained Hexagon D&E integration and its low profit contribution this year reduced incremental margin but should help next year.
"We are we are now expecting approximately 44.7% non GAAP operating margin for 2026, which is slightly above last year." — John Wall (CFO)
Maestro vs frontier models
Q (Charles Shi · Needham and Company): Analyst asked whether Cadence will collaborate with frontier model labs and why customers should pick Cadence over competitors.
A: Management said Cadence already works with frontier labs but Maestro is flexible to use best models while controlling three layers—models, routing, and tool integration—to be the primary customer interface. They emphasized options like on-prem or customer post-training to guarantee confidentiality and performance.
"The key thing in our solution is that we want to control the 3 layers of the cake and we want to control the interaction with our customers." — Anirudh Devgan (CEO)
Analog and ViraStack demand
Q (Harlan Sur · JPMorgan): Analyst asked if demand in analog/mixed-signal and MCU segments continues and if adding NPUs and sensors is improving Cadence's business.
A: Management said momentum in analog and mixed-signal is strong, driven by physical AI and market recovery, and ViraStack adoption is high, improving analog productivity. They see many large customers deploying these solutions and are encouraged by traction.
"I am really pleased by the momentum in ViraStack." — Anirudh Devgan (CEO)
Agentic AI monetization strategy
Q (Lee Simpson · Morgan Stanley): Analyst asked why Cadence chose control and deployment flexibility over a frontier-centric partnership and about the specifics of a space company taking IP.
A: Management said their strategy gives customers choice and control over models while leveraging Cadence domain expertise and deep tool integration. They emphasized delivering engineering software value rather than building a broad AI infrastructure business, and that flexibility should grow customer usage and Cadence value.
"Our strategy remains centered on delivering high value engineering software rather than building a large general purpose AI infrastructure business." — John Wall (CFO)
Agent stacks for analog/back-end/package
Q (Joe Vruwink · Baird): Analyst asked whether specialized models and post-training help address analog and back-end domains and if that drives revenue upside.
A: Management said demand for all super agents beyond ChipStack is phenomenal, with customer endorsements citing multiple-x productivity gains in InnoStack, ViraStack and AuraStack. They said tighter integration with base tools plus Maestro differentiation makes it hard to compete and should accelerate deployments and revenue.
"And if you look at Innostack, Renesas is talking about, like, 34 x productivity improvement." — Anirudh Devgan (CEO)
Sources of EDA share gains
Q (Jay Vleeschhouwer · Griffin): Analyst asked which EDA subareas drove Cadence's market share gains and whether gains are concentrated in place-and-route or broader.
A: Management said gains were strong in digital implementation with Innovus and increasingly across tools around Innovus, and that full-flow deployment by large customers is a growing trend. They also said Cadence maintains undisputed leadership in analog, helping verification and simulation businesses.
"At the same time, you we maintain our undisputed leadership in analog." — Anirudh Devgan (CEO)
Why bookings and backlog are strong
Q (Gary Mobley · Stonex): Analyst asked what drives strong bookings and backlog despite a lighter renewal year—AI workflows, semiconductor strength, or other factors.
A: Management said bookings and backlog reflect healthy design activity, expanded customer engagements and strong add-on opportunities across the portfolio, and noted backlog timing depends on contract structure but the strength in a lighter renewal year is encouraging.
"The strength reflects healthy underlying design activity, expanded customer engagements, and strong add on opportunities across our portfolio." — John Wall (CFO)
New logos and lower design barriers
Q (Rothschild): Analyst asked whether AI tools like ChipStack lower barriers so nontraditional designers can enter silicon design and if new logos will expand TAM.
A: Management said AI and tool improvements have dramatically lowered design effort and time, and AI could add another 5x–10x, making design thousands of times easier than decades ago. They expect more companies (space, finance, automotive, robotics) to design chips and see Cadence enabling that expansion.
"This will invariably lead to more and more design activity." — Anirudh Devgan (CEO)
EDA growth drivers and agentic adoption
Q (Kelsey Chia · Siti): Analyst asked whether recent EDA growth is mainly hardware-driven and how much revenue acceleration from agentic AI (IdentityAI/Agentic) is realized now versus ahead.
A: Management said recurring revenue improved from 11% to 18%, which is not hardware and reflects agentic AI plus more usage of base tools, and that agentic AI acts as a demand accelerator for EDA by enabling more design exploration and tool consumption.
"like I was mentioning earlier and John mentioned also, our recurring growth has improved from 11% last year to 18%." — Anirudh Devgan (CEO)