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Can Synopsys' AI-Focused Design IP Strategy Drive Growth?

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Key Takeaways

  • Synopsys' Design IP revenues rose 11% year over year in fiscal Q3 2026, reaching 19.1% of total revenues.
  • Synopsys' IP business targets doubling year over year, with more than 100 cumulative design wins.
  • Automotive design-win rates exceeded 90% for 3 consecutive quarters as ADAS shifted to 5nm & 3nm technologies.

Synopsys’ (SNPS - Free Report) Design IP includes logic libraries, embedded memories, wired interface IP, memory interface IP and security IP. In the third quarter of fiscal 2026, Design IP accounted for 19.1% of total revenues and increased 11% year over year, while the adjusted operating margin improved to 26.5%.

Synopsys holds a leading position in interface and foundation IP. The business is increasingly focused on areas benefiting from AI-driven semiconductor complexity. Synopsys said demand for high-speed interconnect IP is accelerating because of AI’s massive data requirements.

Synospys’ standards-based IP that can be developed once and licensed repeatedly across customers and applications is gaining traction. Its portfolio includes high-speed interface, memory and die-to-die connectivity IP, which are increasingly important as AI systems require higher bandwidth, faster data transfer and more complex chip architectures.

IP business is on track to double year over year, with cumulative design wins exceeding 100. In automotive, the company maintained a design-win rate above 90% for three consecutive quarters as advanced driver-assistance systems (ADAS) transitioned to 5-nanometer and 3-nanometer technologies. Its USB IP portfolio has also surpassed $2 billion in lifetime bookings.

SNPS’ also focuses on developing differentiated IP subsystems and enabling custom silicon solutions tailored to customers’ workloads and architectures. Hyperscalers, ASIC vendors, foundries and semiconductor companies are seeking deeper engineering collaboration to accelerate chip development through this model.

How Competitors Fare Against SNPS

Synopsys operates in a highly competitive market, with major rivals, including Cadence Design Systems Inc. (CDNS - Free Report) and Keysight Technologies (KEYS - Free Report) . These companies serve different stages of the electronic and IC design lifecycle, offering specialized tools and solutions that help customers improve product development, design efficiency and testing.

Keysight Technologies competes primarily across electronic design, measurement and testing, with software and solutions covering areas such as electromagnetic analysis, circuit simulation and hardware verification. Meanwhile, Cadence Design Systems is benefiting from increasing design complexity and growing customer investments in AI-powered automation.

Cadence is also strengthening its position through its expanding Cadence.ai portfolio. New offerings, including AgentStack, ChipStack, ViraStack and InnoStack AI Super Agents, are broadening the company’s AI capabilities across the design workflow and could help Cadence maintain its momentum as AI adoption accelerates.

Synopsys Performance and Valuation

Synopsys’ shares have appreciated 19.3% in the past month, outperforming the Zacks Computer and Technology sector’s return of 2.2%.

SNPS YTD Performance Chart

Zacks Investment Research
Image Source: Zacks Investment Research

The outperformance in the stock price led to a premium valuation, with SNPS stock trading at a P/S multiple of 8.44X, much above the industry P/E multiple of 6.37X. The premium valuation is further established by a Zacks Value Score of F.

SNPS Forward 12-Month (P/S) Valuation Chart

Zacks Investment Research
Image Source: Zacks Investment Research

The Zacks Consensus Estimate for SNPS’ fiscal 2026 earnings is pegged at $15.13, indicating 17% year-over-year growth. Estimates have been revised upward in the past 60 days.

Zacks Investment Research
Image Source: Zacks Investment Research

SNPS currently sports a Zacks Rank #1 (Strong Buy). You can see the complete list of today’s Zacks #1 Rank stocks here.

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