NASDAQ:SNPS

Synopsys Slips 0.8% Premarket Despite Strong Q3 Results and Raised FY2026 Outlook

Synopsys (NASDAQ: SNPS) shares are down about 0.8% in premarket trading despite reporting stronger-than-expected fiscal third-quarter results and raising its full-year outlook as AI-related semiconductor design demand remains strong.

Revenue reached $2.477 billion, up sharply from $1.740 billion a year earlier, supported by broad-based strength and particularly strong performance in Design Automation. The recently acquired Ansys business also delivered a strong quarter, while Design IP returned to year-over-year growth.

Non-GAAP EPS came in at $3.91, above the high end of the company's previous guidance and up from $3.39 a year earlier. GAAP EPS increased to $2.84 from $1.50.

AI demand supports higher guidance

Management highlighted rising chip and system complexity from AI as a major demand driver for Synopsys' electronic design automation, silicon IP and engineering solutions.

Following the strong quarter, Synopsys raised its full-year revenue outlook to approximately $9.715 billion at the midpoint and non-GAAP EPS guidance to $15.07 at the midpoint. The company also increased expectations for operating margin and cash flow and expects double-digit growth in its EDA business.

The modest 0.8% premarket decline therefore does not appear to reflect fundamental weakness in the reported results. Instead, the muted reaction may indicate that investors had already priced in a strong quarter and AI-driven outlook, leaving the earnings beat and guidance increase insufficient to trigger another significant move higher.
Synopsys Expands AI Simulation Push Through Ansys-NVIDIA Omniverse Integration

Synopsys (NASDAQ: SNPS) is strengthening its position in AI-powered engineering simulation through an agreement between its Ansys business and NVIDIA to integrate NVIDIA Omniverse technology directly into Ansys simulation solutions.

The collaboration will initially bring Omniverse capabilities into Ansys computational fluid dynamics and autonomous-system applications, giving engineers access to NVIDIA’s simulation technologies and libraries directly through the Ansys interface.

Agreement Targets Physical AI and Digital Twins

The integration is designed to accelerate the development of physical AI, digital twins and autonomous systems by combining Ansys’ physics-based simulation capabilities with NVIDIA’s Omniverse platform.

Ansys will use OpenUSD to provide interoperability between different computer-aided engineering tools and Omniverse environments. This could be particularly valuable for large CFD workloads, where engineers need to analyze and visualize complex datasets while maintaining consistent workflows across multiple engineering applications.

For autonomous systems, the combination is intended to improve the development, training, testing and validation process. Automated scenario generation and exploration could allow engineers to evaluate autonomous technologies across a broader range of virtual conditions before real-world deployment.

Synopsys Strengthens Position Across AI Engineering Stack

The agreement also expands Synopsys’ exposure to one of the fastest-developing areas of the AI ecosystem: the transition from generative AI toward physical AI, where artificial intelligence interacts with and models real-world environments.

Following its acquisition of Ansys, Synopsys combines semiconductor design and electronic design automation expertise with advanced engineering simulation capabilities. Integrating NVIDIA Omniverse further connects those capabilities with accelerated computing, digital twins and AI-based simulation.

The partnership has potential applications across automotive engineering, aerospace, communications and other industries requiring high-fidelity physical simulation. The companies specifically highlighted applications ranging from vehicle aerodynamics and autonomous-vehicle safety to 6G connectivity.

PyAnsys Adds Another AI Integration Layer

The collaboration extends beyond visualization. PyAnsys, a collection of Python packages, allows customers to customize and automate simulations within applications built on NVIDIA Omniverse.

One example is PyAnsys-Heart, a digital twin of the human heart that combines simulation with a speech-to-text interface, illustrating how AI could make sophisticated engineering models accessible through more intuitive interfaces.

For Synopsys, the agreement reinforces the strategic rationale behind combining its existing silicon-to-systems portfolio with Ansys. The company is increasingly positioned at the intersection of semiconductor design, engineering simulation, digital twins and physical AI, while NVIDIA provides the accelerated computing and Omniverse infrastructure connecting these increasingly complex virtual engineering environments.
Synopsys Expands Physical AI Push as Ansys Integrates NVIDIA Omniverse

Synopsys (NASDAQ: SNPS) is expanding its physical AI and digital twin capabilities through Ansys, which announced an agreement with NVIDIA to embed NVIDIA Omniverse technology directly into its simulation solutions.

The integration will initially focus on Ansys’ computational fluid dynamics and autonomous-system products, giving engineers access to Omniverse capabilities directly within existing simulation workflows. The combination is designed to improve data preparation, interoperability and high-fidelity visualization while accelerating development and validation of autonomous systems.

Using OpenUSD, Ansys customers will be able to connect engineering simulation data with NVIDIA’s virtual-environment technologies. Potential applications include aerodynamics, autonomous vehicles, 6G connectivity and complex digital twins.

The agreement also expands the strategic relationship between Synopsys and NVIDIA around physical AI. Combining Ansys simulation technology with NVIDIA’s Omniverse platform could make it easier for companies to build physics-accurate virtual environments for training, testing and optimizing AI-driven physical systems.

For Synopsys, the integration strengthens the Ansys portfolio following its acquisition and increases the company’s exposure to growing demand for AI-enabled engineering simulation, digital twins and autonomous-system development.
Synopsys announced an expanded collaboration with TSMC to advance next-generation AI systems through enhanced silicon IP and AI-powered chip design tools. The partnership focuses on optimizing performance, power efficiency, and scalability across advanced semiconductor nodes, including 3nm and 2nm technologies.

The companies highlighted progress in high-speed connectivity solutions, including 224G and 64G interface technologies, as well as advancements in 3D chip design and co-packaged optics for data centers. AI-assisted design tools are also being integrated to improve productivity and accelerate chip development cycles.

The collaboration aims to support growing demand for high-performance computing and AI infrastructure by enabling faster, more efficient semiconductor innovation.

Source: PR Newswire
Synopsys Inc. is supporting NASA’s Artemis program by providing simulation tools to analyze spacesuit safety and develop lunar communication systems.

The work includes modeling spacesuit exposure to lunar conditions and testing antenna performance and cellular connectivity on the Moon using digital twin technology, helping reduce mission risks and improve astronaut safety.
Synopsys supports Arm’s new AGI CPU for next-generation AI data centers

March 24, 2026 — Synopsys announced its collaboration with Arm to support the development of the new Arm AGI CPU, providing full-stack design, IP, and verification solutions for advanced AI and high-performance computing workloads.

The partnership leverages Synopsys’ electronic design automation tools, silicon-proven interface IP, and hardware-assisted verification systems to optimize power, performance, and efficiency in the new data center processor.

Built on Arm’s Neoverse architecture, the AGI CPU targets next-generation AI infrastructure, requiring complex system validation and scalable design capabilities.

Synopsys said its solutions helped accelerate development, reduce integration risk, and enable faster time to market, reinforcing its role in advancing custom silicon innovation for AI-driven computing environments.
PRNewswire
Synopsys (SNPS) launched Ansys 2026 R1, introducing new AI-powered simulation and digital engineering capabilities that integrate Synopsys and Ansys technologies to streamline product development workflows.

The release combines generative AI, multiphysics simulation and digital twin technology to help engineering teams explore designs faster, automate complex processes and validate systems earlier in the development cycle. It also introduces new agentic AI tools, enhanced system-level engineering workflows and expanded digital twin capabilities for analyzing real-world performance.

Synopsys said the new platform aims to help companies design more complex AI-driven and software-defined systems more efficiently while reducing reliance on physical testing.

PRNewswire
Synopsys (SNPS) introduced new software-defined hardware-assisted verification (HAV) platforms and capabilities aimed at accelerating the development of increasingly complex AI chips used in data centers and edge devices.

The update includes new ZeBu and HAPS platforms, delivering up to 2x higher performance and capacity for large AI chip designs, as well as industry-first hardware-assisted test automation features designed to detect system-level and cache-coherency bugs earlier in the development cycle.

The company said the new verification technologies will help semiconductor firms validate AI processors faster and bring advanced silicon products to market more efficiently.

PRNewswire
Synopsys Initiates $250 Million Share Repurchase Agreement
Synopsys, Inc. reported first-quarter fiscal 2026 revenue of $2.409 billion, up from $1.455 billion in the prior-year period, reaching the high end of its guidance range.

GAAP earnings per diluted share were $0.34, while non-GAAP EPS came in at $3.77, exceeding prior guidance. Management reiterated full-year fiscal 2026 revenue expectations of approximately $9.61 billion at the midpoint, including an expected $2.9 billion contribution from Ansys-related revenue.

The company also announced that its board approved a replenishment of its existing share repurchase program, authorizing up to $2.0 billion in additional common stock buybacks.

Source: Synopsys, PRNewswire, February 25, 2026.
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