Investment Rating - The report does not explicitly state an investment rating for Synopsys, but it highlights significant performance challenges and market expectations that may influence investor sentiment. Core Insights - Synopsys reported total revenue of $1.74 billion for FY3Q25, a year-on-year increase of 13.7%, but below market expectations of $1.77 to $1.80 billion [1][7] - The non-GAAP operating margin was 38.5%, slightly lower than the previous year and below the consensus of 39.0% [1][7] - Non-GAAP earnings per share were $3.39, down 1.2% year-on-year, and below the expected $3.80 [1][7] - The overall performance was negatively impacted by the underperformance of the IP business, leading to a stock price drop of over 35% [1][7] EDA and IP Business Performance - EDA business revenue grew by 23% year-on-year to $1.31 billion, exceeding market expectations of $1.18 billion, driven by increased complexity in AI chip designs [2][8] - The IP business revenue declined by 8% year-on-year to $428 million, significantly below the expected $552 million, primarily due to weakened confidence from Chinese customers and delays in high-margin product deliveries [2][8][5] Strategic Developments - The completion of the Ansys integration marks a structural upgrade in Synopsys' engineering software portfolio, enhancing its market position as a leader in "silicon-to-system" solutions [2][9] - The Ansys 2025 R2 platform, which integrates AI-driven simulation and advanced features, is expected to enhance Synopsys' capabilities in various high-tech sectors [2][9] Future Outlook - For Q4, Synopsys expects revenue between $2.23 billion and $2.26 billion, with a revised full-year revenue guidance of $7.03 billion to $7.06 billion [3][11] - Non-GAAP earnings per share for the full year are projected to be between $12.76 and $12.80 [3][11] - Management remains cautious about the short-term recovery of the IP business, citing industry and geopolitical factors as ongoing challenges [3][11]

Financial Data and Key Metrics Changes - Q3 revenue was $1.74 billion, representing a 14% year-over-year increase, with non-GAAP EPS at $3.39 [15][4] - Non-GAAP operating margin was 38.5%, while GAAP earnings per share were $1.50 [15][16] - Backlog reached $10.1 billion, indicating business resilience despite challenges [15] Business Line Data and Key Metrics Changes - Design automation revenue, including Ansys products, increased by 23% year-over-year to $1.31 billion, driven by hardware strength [8][16] - Design IP segment revenue decreased by 8% year-over-year to $428 million due to various headwinds [16][10] - Adjusted operating margin for design automation was 44.5%, while design IP's adjusted operating margin was 20.1% [16] Market Data and Key Metrics Changes - Strong performance was noted in Europe and North America, while challenges persisted in China [15] - Semiconductor demand in industrial and automotive markets remained subdued [5] Company Strategy and Development Direction - The acquisition of Ansys is seen as a transformational milestone, expanding revenue and customer base [4][6] - The company is focusing on high-growth opportunities in IP and design automation, pivoting resources accordingly [12][10] - A strategic portfolio review is underway to optimize investments and execution [12] Management's Comments on Operating Environment and Future Outlook - Management expressed optimism about future growth despite external headwinds, particularly in AI and semiconductor design [5][4] - The company anticipates a transitional and muted year in IP due to ongoing challenges [38][10] - A commitment to achieving synergies from the Ansys acquisition remains strong, despite integration challenges [19][66] Other Important Information - The company plans to reduce global headcount by approximately 10% by the end of fiscal year 2026 to enhance efficiency [12][19] - Ansys revenue for Q3 was $78 million, with expectations for continued growth in Q4 [69][15] Q&A Session Summary Question: Can you elaborate on the challenges in the IP business? - Management identified three main challenges: export restrictions affecting China, issues with a major foundry customer, and roadmap/resource allocation decisions that did not yield expected results [22][23] Question: How will the company address the decline in operating margins? - The decline is primarily due to the IP business's revenue headwinds, but the long-term commitment to mid-40% operating margins remains intact [27][31] Question: What is the outlook for the Ansys acquisition? - The integration is progressing well, with no significant surprises, and the company is focused on delivering on revenue synergies [66][67] Question: How does the company plan to manage the transition in the IP business model? - The company is pivoting towards more customized solutions and subsystems, which may require new business models to capture value [47][50] Question: What is the expected impact of the headcount reduction? - The reduction is part of a broader strategy to optimize resources and improve efficiency, which has been planned for some time [91][12]

Core Insights - Ansys, now part of Synopsys, announced the release of 2025 R2, featuring AI-powered capabilities that enhance simulation speed and accessibility [2][3] - The new version includes improved solvers, streamlined workflows, and expanded Python compatibility, enabling better engineering agility and cloud computing [2][3] AI-Driven Enhancements - Ansys Engineering Copilot is introduced as a virtual assistant that provides AI-driven assistance within Ansys products, enhancing user experience and access to resources [4][5] - The integration of Microsoft Azure AI Foundry with AnsysGPT allows for automatic creation, validation, and optimization of simulations, reducing manual effort and human error [5][6] Data Management and Automation - The latest release simplifies data handling and management, boosting efficiency and collaboration across enterprises [7][11] - Enhanced model-based systems engineering (MBSE) capabilities ensure digital continuity and cross-team collaboration [7] Python Compatibility and Customization - Expanded Python compatibility allows for customized automation, accelerating workflows and improving data management [9] - Companies like Danfoss Drives utilize Ansys simulation to validate complex designs, optimizing performance and reducing energy consumption [9][10] Cloud-Based Simulation - Cloud technology and high-performance computing (HPC) capabilities enable faster, scalable simulations, allowing for more design possibilities [15] - Ansys Cloud Burst Compute™ provides on-demand HPC capabilities across multiple products, streamlining setup and eliminating the need for extensive IT support [20] Advanced Computational Tools - Ansys continues to enhance its core technology to solve complex design challenges, enabling faster results and unlocking new product development opportunities [12][14] - New features in Ansys Mechanical improve performance on large transient models and enhance meshing capabilities for complex systems [16]