
Electronic design automation company Cadence Design Systems (NASDAQ: CDNS) announced better-than-expected revenue in Q4 CY2025, with sales up 6.2% year on year to $1.44 billion. The company expects the full year’s revenue to be around $5.95 billion, close to analysts’ estimates. Its non-GAAP profit of $1.99 per share was 4.1% above analysts’ consensus estimates.
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Cadence Design Systems (CDNS) Q4 CY2025 Highlights:
- Revenue: $1.44 billion vs analyst estimates of $1.43 billion (6.2% year-on-year growth, 1% beat)
- Adjusted EPS: $1.99 vs analyst estimates of $1.91 (4.1% beat)
- Adjusted Operating Income: $659.3 million vs analyst estimates of $646.3 million (45.8% margin, 2% beat)
- Adjusted EPS guidance for the upcoming financial year 2026 is $8.10 at the midpoint, beating analyst estimates by 0.6%
- Operating Margin: 32.2%, down from 33.7% in the same quarter last year
- Billings: $1.47 billion at quarter end, up 4.3% year on year
- Market Capitalization: $77.16 billion
StockStory’s Take
Cadence Design Systems delivered a Q4 performance that exceeded analysts’ revenue and adjusted earnings expectations, with the market responding positively. Management credited the quarter’s momentum to accelerating adoption of its AI-powered electronic design automation tools, increasing demand for hardware systems supporting complex chip design, and robust growth in its intellectual property (IP) business. CEO Anirudh Devgan emphasized that AI-driven product innovation is amplifying customer engagement and utilization across the portfolio, noting, “Our platform is best viewed as a 3-layer cake framework, with AI as the top layer to drive intelligent exploration and generation.”
Looking ahead, Cadence’s guidance for 2026 is underpinned by strong recurring revenue visibility, continued penetration of AI and Agentic AI workflows, and the expansion of hardware and IP offerings. Management expects the mix of software subscriptions, hardware pipelines, and new monetization models for AI tools to support earnings growth. CFO John Wall highlighted, “Around 67% of 2026 revenue is coming from beginning backlog, giving us strong visibility into the multiyear recurring base.” The company is balancing prudent assumptions for hardware and China demand with optimism around broad-based customer adoption of its next-generation design solutions.
Key Insights from Management’s Remarks
Management attributed the quarter’s growth to rapid adoption of AI-powered design solutions, increased hardware demand, and broad-based strength across product segments, while also highlighting early contributions from new Agentic AI tools.
- AI-enabled design adoption: Cadence’s AI portfolio, including new Agentic AI workflows and ChipStack AI Super Agent, saw robust customer uptake. These tools reportedly delivered up to 10x productivity gains in chip design, with endorsements from major industry players such as Qualcomm and NVIDIA.
- Hardware systems expansion: The hardware business experienced strong demand from hyperscalers and AI chip developers, with hardware systems now considered indispensable for designing advanced semiconductors. Management noted that seven of the company’s top ten customers in 2025 were using Cadence’s hardware platforms.
- IP business momentum: The IP segment grew nearly 25%, driven by strong adoption of memory IP and solutions supporting AI, high-performance computing, and automotive applications. Management highlighted competitive wins and growing customer reliance on Cadence’s portfolio for next-generation workloads.
- Recurring software acceleration: The shift to multi-year and annual software subscriptions, along with new usage-based pricing linked to AI-driven tool utilization, drove double-digit recurring revenue growth in Q4. Management sees this model as improving earnings durability and visibility.
- Strategic partnerships and market share gains: Cadence expanded collaborations with leading foundries (TSMC, Intel, Samsung, Rapidus) and deepened relationships with hyperscalers and automotive customers. Management reported share gains across EDA, hardware, IP, and system design segments, attributing this to continued R&D investment and customer demand for AI-enabled solutions.
Drivers of Future Performance
Cadence’s 2026 outlook centers on continued adoption of AI-enabled design flows, strong recurring revenue from software subscriptions, and prudent assumptions around hardware demand and geographic exposure.
- AI-driven product integration: Management expects Agentic AI solutions and AI-powered automation to further accelerate customer adoption in chip and system design, driving both recurring and usage-based revenues. These workflows, including ChipStack and Cerebrus, are positioned to expand market opportunities and deepen customer engagement.
- Hardware and IP pipeline visibility: While hardware sales remain pipeline-driven with higher visibility in the first half of the year, management anticipates ongoing demand from hyperscalers and advanced chipmakers. The IP business is expected to maintain momentum, supported by new product introductions and deepening foundry partnerships.
- Macro, regional, and margin considerations: Prudent guidance reflects potential variability in hardware and China demand, as well as incremental margin expectations tempered by ongoing R&D investment and AI-driven operational efficiency. Management is monitoring pricing trends in memory and compute resources, which may influence margins in 2026.
Catalysts in Upcoming Quarters
In future quarters, the StockStory team will monitor (1) customer adoption and monetization of Agentic AI and AI-driven design flows, (2) the pace of hardware and IP growth, especially among hyperscalers and automotive customers, and (3) recurring revenue trajectory as usage-based models mature. Execution on new product rollouts and expansion of key foundry partnerships will be important markers of Cadence’s competitive positioning.
Cadence Design Systems currently trades at $302.45, up from $285 just before the earnings. In the wake of this quarter, is it a buy or sell? The answer lies in our full research report (it’s free).
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