SNPS · Synopsys Inc · Investor Relations

Synopsys , Inc. (NASDAQ: SNPS) today launched Ansys 2026 R1, delivering the first wave of integrated Synopsys-Ansys capabilities built on nearly a century of combined engineering expertise. The release also expands the Ansys simulation AI portfolio with a new, AI-enhanced training offering designed to make learning more effective and efficient, along with advanced AI features that help engineering teams gain earlier system‑level insight, reduce reliance on physical testing, and optimize performance across increasingly complex, software‑defined products. "The transition to intelligent, interconnected systems is driving the need for faster, physics-first, system-level design," said Ravi Subramanian, Chief Product Management Officer at Synopsys. "By bringing Synopsys and Ansys technologies together, we're moving beyond point-to-point connections to create a unified fabric that links materials, physics, electronics, and software into a seamlessly orchestrated design environment. Synopsys

Synopsys , Inc. (Nasdaq: SNPS) today announced advancements across its leading hardware-assisted verification (HAV) portfolio, including new hardware platforms and capabilities to support the ever-expanding demand for AI chip verification from the data center to the edge. Synopsys HAV platforms, powered by the company's unique software-defined capabilities, set new performance, scalability, and use case benchmarks for verifying the world's most sophisticated multi-die and AI chips amidst compounding design complexity and time-to-market requirements. AI chip verification complexity is escalating rapidly as large language models continue to double in size roughly every four months, and interface data rates advance at a 2x rate every three years. Simultaneously, edge AI architectures are driving aggressive throughput, latency, and power‑efficiency targets that further expand the design and validation workload. To keep pace, the industry requires HAV solutions to support broader

Synopsys, Inc. (NASDAQ: SNPS) today launched the Synopsys Electronics Digital Twin (eDT) Platform, a first-of-its-kind, open solution to accelerate the creation, management, deployment, and use of electronics digital twins (eDTs) critical for today's software-defined product development enabling physical AI systems. Initially focused on high-value automotive use cases, the eDT Platform enables OEMs to achieve up to 90% of software validation prior to hardware availability by shifting software development and system integration "left," reducing vehicle development cost and time-to-market. "Volvo Cars is rapidly adopting holistic, whole‑vehicle validation, and we're bringing that rigor into the earliest stages of design and development," Johannes Foufas, Technical Manager, Software Factory, Volvo Cars. "Core to this transformation is our pioneering use of electronics digital twins working with Synopsys. With virtualized ECUs, our teams can 'shift left' test and validation before

Synopsys, Inc. (Nasdaq: SNPS ) today announced that it has entered into an accelerated share repurchase agreement (ASR) with The Bank of Nova Scotia to repurchase an aggregate of $250 million of Synopsys stock. Under the terms of the ASR, Synopsys will receive an aggregate initial share delivery of approximately 513,000 shares, with the remainder, if any, to be settled on or before June 1, 2026, upon completion of the repurchases. The specific number of shares that Synopsys ultimately repurchases under the ASR will be based on the average of Synopsys' daily volume-weighted average share prices during the repurchase period, less a discount. About Synopsys Synopsys, Inc. (Nasdaq: SNPS) is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to

Innatera, the leader in brain-like neuromorphic computing for ultra-low-power intelligence at the sensor edge, selected Synopsys, Inc. (NASDAQ: SNPS) for design and validation of its next-generation neuromorphic microcontrollers. Synopsys' reliable solutions for electrostatic discharge (ESD) and power integrity analysis will help Innatera scale its operations to meet the growing demand for edge processing in industrial sensors, robotics, wearables, and smart home technologies. Neuromorphic microcontrollers process information through Spiking Neural Networks (SNNs) that mimic how biological neurons communicate, delivering brain-inspired intelligence at the sensor edge. This event-driven approach enables real-time, ultra-low-power operation in sensor-rich environments where responsiveness and energy efficiency are critical. Innatera's architecture combines mixed-signal analog computation, dense interconnects, and low-voltage design — key enablers of efficiency but potential sources of

Synopsys, Inc. (Nasdaq: SNPS ) today reported results for its first quarter of fiscal year 2026. Revenue for the first quarter of fiscal year 2026 was $2.409 billion, compared to $1.455 billion for the first quarter of fiscal year 2025. "Synopsys enters 2026 with an expanded portfolio, leadership positions across the business, and the most compelling roadmap in our history," said Sassine Ghazi, president and CEO of Synopsys. "AI continues to fuel robust system-level and semiconductor R&D, and the increasing AI capabilities throughout our portfolio strengthen our strategic advantage and accelerate our customers' innovation." "First quarter results reflect strong execution and financial discipline across the business. We achieved revenue at the upper end of our guided range and non-GAAP EPS above guidance," said Shelagh Glaser, CFO of Synopsys. "We're positioning the company to capture an expanded market opportunity as we solve customers' toughest engineering challenges from silicon