Welcome to our dedicated page for Synopsys news (Ticker: SNPS), a resource for investors and traders seeking the latest updates and insights on Synopsys stock.
Synopsys Inc (NASDAQ: SNPS) drives innovation in electronic design automation (EDA) and semiconductor IP solutions, enabling next-generation chip and system development. This dedicated news hub provides investors and industry professionals with official announcements, strategic updates, and market insights directly from Synopsys leadership.
Comprehensive Coverage: Access timely updates including quarterly earnings reports, product launch details, technology partnerships, and executive commentary. Our curated collection features verified press releases covering critical developments in EDA software advancements, silicon IP licensing agreements, and software security innovations.
Strategic Resource: Track Synopsys' role in shaping semiconductor design trends through acquisitions, R&D milestones, and industry collaborations. Stay informed about developments impacting automotive electronics, AI hardware acceleration, and cloud-based design tools—key growth areas in modern computing infrastructure.
Bookmark this page for immediate access to Synopsys' latest corporate communications and technology announcements. Check regularly for updates that matter to semiconductor investors, engineering professionals, and technology analysts worldwide.
Synopsys (NASDAQ: SNPS) showcased AI-driven, software-defined automotive engineering solutions at CES 2026, emphasizing virtualization from systems to silicon to cut prototyping costs and shorten release cycles.
Key disclosed impacts include virtualizing vehicle electronics to reduce testing costs by 20–60%, enabling software bring-up that can accelerate vehicle time to market by up to 12 months, and supporting >90% of the top 100 automotive suppliers. Announcements include new VDKs for Arm Zena CSS, NXP S32N7, TI TDA5, Ansys AVxcelerate integration with Samsung ISOCELL Auto 1H1, and a collaboration to support FIA single-seater safety work.
Edgewater Wireless announced it selected Synopsys (NASDAQ: SNPS) Cloud EDA-as-a-Service to accelerate development of its Wi‑Fi8 Spectrum Slicing™ silicon. The collaboration, enabled by the Silicon Catalyst incubator, aims to speed time-to-tape-out, improve design quality, and reduce development risk for Edgewater’s AI-enabled RF and mixed-signal SoC architectures.
The company positions Wi‑Fi8 as a reliability-first upgrade addressing throughput, worst-case latency and packet loss in dense consumer, enterprise and industrial deployments as demand for next-generation Wi‑Fi chipsets grows toward the mid‑US$36B range by 2034.
Synopsys (Nasdaq: SNPS) reported record fiscal 2025 revenue of $7.054 billion (+~15% YoY) and fourth-quarter revenue of $2.255 billion, with Ansys contributing $667.7 million in Q4 and $756.6 million for the year. GAAP net income for FY2025 was $1.336 billion (EPS $8.07); non-GAAP net income was $2.138 billion (non-GAAP EPS $12.91). Backlog finished at $11.4 billion. Fiscal 2026 revenue guidance midpoint is $9.61 billion, including $2.9 billion of expected Ansys revenue and reflecting ~$110 million of divested businesses impact.
NVIDIA (NASDAQ: NVDA) and Synopsys (NASDAQ: SNPS) announced a multi-year strategic partnership on Dec 1, 2025 to integrate NVIDIA accelerated computing, agentic AI, and Omniverse digital twins into Synopsys engineering and simulation tools.
Key facts: NVIDIA invested $2.0 billion in Synopsys common stock at a purchase price of $414.79 per share. Initiatives include CUDA-X acceleration across Synopsys applications, integration of AgentEngineer with NVIDIA’s agentic AI stack, cloud-ready GPU engineering solutions, and joint go-to-market activities using Synopsys' global sales network.
JuliaHub announced a strategic partnership with Synopsys (NASDAQ: SNPS) on Nov 19, 2025 to integrate Dyad, JuliaHub's SciML simulation platform, into Synopsys' Ansys TwinAI digital twin software.
The integration will combine physics-based simulation and adaptive AI to create "hybrid digital twins" that improve model accuracy, enable real-time simulation and predictive analytics, and simplify cloud deployment. Synopsys said Dyad exposure will be rolled into upcoming TwinAI releases incrementally; additional feature and timing details will follow.
Synopsys (NASDAQ: SNPS) appointed Mike Ellow as Chief Revenue Officer, effective November 20, 2025. He will lead Synopsys' Go‑To‑Market organization and join the executive leadership team, reporting to President and CEO Sassine Ghazi. Ellow joins from Siemens EDA, where he served as CEO, and brings more than 30 years of executive leadership including roles at Cadence Design Systems and Berkeley Design Automation.
Ellow holds a BSEE from Lehigh University, an MSEE from USC, and an MBA from California State University, Fullerton.
Synopsys (NASDAQ: SNPS) on November 18, 2025 unveiled an open, GPU-native framework that combines Synopsys accelerated physics, NVIDIA Omniverse and CUDA-X libraries, Ansys Fluent, and Microsoft Azure to create simulation-driven digital twins for manufacturing.
The framework, first deployed by Krones, produced a physically accurate virtual assembly line and cut CFD simulation runtimes from 3–4 hours to under 5 minutes, enabling near‑real‑time scenario comparison, optimization, and factory‑floor decisioning. OpenUSD interoperability and cloud deployment support scalable, cross‑team collaboration and broader use cases.
Synopsys (Nasdaq: SNPS) will report fourth quarter and fiscal year 2025 results on Wednesday, December 10, 2025 after market close.
The company will hold a conference call on Dec. 10, 2025 at 2:00 p.m. PT / 5:00 p.m. ET to review financial results and outlook. Financial tables and supporting materials will be posted on the investor website immediately before the call, and a live webcast and replay will be available at www.investor.synopsys.com (replay available from ~5:00 p.m. PT on Dec. 10 until the company reports Q1 FY2026 results).
Synopsys (NASDAQ: SNPS) highlighted Agentic AI, GPU-accelerated computing, and AI physics at NVIDIA GTC Washington, D.C. Oct 27-29, showcasing integrations with NVIDIA NeMo, PhysicsNeMo, DoMINO NIM, CUDA-X, and Blackwell GPUs to speed engineering from chip design to large-system simulation.
Key announced outcomes include Ansys Fluent achieving a 500x GPU+AI speedup and running 50x faster on eight Blackwell GPUs versus 258 CPU cores, simulations reduced from ~two weeks to ~40 minutes with AI initialization, and up to 15x faster DFT/NEGF materials results via QuantumATK on NVIDIA GPUs; NVIDIA is piloting Synopsys AgentEngineer for AI-enabled formal verification.
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