Press Release VELIZY-VILLACOUBLAY, France — February 11, 2026 Dassault Systèmes: Q4 revenue growth of 1% with solid operating margin and EPS expansion Initiating 2026 revenue guidance of 3-5% growth            Dassault Systèmes (Euronext Paris: FR0014003TT8, DSY.PA) today reports its IFRS unaudited estimated financial results for the fourth quarter 2025 and full-year ended December 31, 2025. The Group’s Board of Directors approved these estimated results on February 10, 2026. This press release also includ ...

Core Insights - Dassault Systèmes reported a Q4 2025 revenue growth of 1% and a full-year revenue growth of 4%, with a recurring revenue increase of 6% driven by an 11% growth in subscription revenue [2][9][10] - The company initiated a revenue guidance for FY26, projecting a growth of 3-5% [2][9] - The CEO emphasized the long-term commitment to leading the Industrial AI transformation through their 3D UNIV+RSES initiative [5][6] Financial Performance - Q4 2025 total revenue reached €1.68 billion, while full-year revenue was €6.24 billion, reflecting a 4% increase [14][15] - Non-IFRS operating margin for Q4 was 37.0%, up 90 basis points year-over-year, and for FY25 it was 32.0%, up 40 basis points [9][10] - Diluted EPS for Q4 was €0.40, a 1% increase, and for FY25 it was €1.31, a 2% increase [14][15] Revenue Breakdown - Subscription and support revenue rose 3% in Q4, representing 76% of software revenue, while services revenue increased by 11% [15][16] - The Americas saw a 3% revenue increase, Europe experienced a 5% decline, and Asia grew by 6% [15][16] - Industrial Innovation software revenue rose 1% to €880 million, while Life Sciences software revenue decreased by 4% to €264 million [19][22] Strategic Focus - The company is focusing on disciplined execution and aligning resources around strategic priorities to deliver measurable impacts [6][12] - New AI-native generative solutions were launched, and a partnership with NVIDIA aims to enhance capabilities in Industrial AI [7][8] - The introduction of Annual Run Rate (ARR) reporting in 2026 is intended to provide better visibility into recurring revenue health [9][12] 2026 Financial Objectives - The company anticipates total revenue growth of 3-5% for FY26, with an operating margin between 32.2% and 32.6% [21][24] - Diluted EPS is projected to be between €1.30 and €1.34 [21][24] - The company expects subscription revenue to accelerate as customers adopt new business models [12][21]

Financial Data and Key Metrics Changes - Full year sales and revenues reached $67.6 billion, the highest in the company's history, with a 4% year-over-year growth [6][10] - Adjusted operating profit margin was 17.2%, and adjusted profit per share was $19.06 [6][10] - Fourth quarter sales and revenues were $19.1 billion, an 18% increase year-over-year, with adjusted operating profit margin at 15.6% and adjusted profit per share at $5.16 [8][25] Business Line Data and Key Metrics Changes - Construction Industries sales increased by 15% in Q4 to $6.9 billion, with a profit decrease of 12% to $1.0 billion [29][30] - Resource Industries sales rose by 13% in Q4 to $3.4 billion, with a profit decrease of 24% to $360 million [31] - Power and Energy sales increased by 23% in Q4 to $9.4 billion, with a profit increase of 25% to $1.8 billion [32] Market Data and Key Metrics Changes - North America showed strong growth in construction, while EAME and Asia Pacific saw slight declines [9] - Latin America experienced better-than-expected growth [9] - Power generation sales exceeded $10 billion, with over 30% year-over-year growth [14] Company Strategy and Development Direction - The company aims to achieve $30 billion in services revenues by 2030, with a focus on digital and technology initiatives [11][22] - The strategy is centered on commercial excellence, advanced technology leadership, and transforming operations [22] - The company is committed to returning substantially all MP&E-free cash flow to shareholders over time [11][34] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the strong backlog of $51 billion, which provides momentum for 2026 [15][16] - The outlook for 2026 anticipates sales growth of around 5%-7%, supported by healthy end markets and positive price realization [15][16] - Management acknowledged the ongoing impact of tariffs but remains committed to managing costs effectively [39][40] Other Important Information - The company generated $9.5 billion in MP&E-free cash flow for 2025, allowing for significant shareholder returns [11][34] - The company plans to increase capital expenditures to around $3.5 billion in 2026 [16][34] Q&A Session Summary Question: Can you comment on order growth and backlog? - Management highlighted strong order growth across all segments, with a backlog of $51 billion, which is 70% higher than the previous year [53][54] Question: What is the outlook for power generation capacity? - Management indicated that capacity increases are on schedule, with significant steps expected by the end of 2026 [64] Question: How does backlog growth relate to sales guidance? - Management explained that the backlog includes a significant increase in dealer inventory, which will impact sales growth expectations [69]

Core Insights - The semiconductor industry is experiencing significant growth driven by the demand for artificial intelligence, with many companies projecting strong earnings for 2025 [1][2][3][4]. Industry Performance - The semiconductor market is recovering globally, with companies like ShenGong Co. expecting a net profit of 90 million to 110 million yuan for 2025, representing a year-on-year increase of 118.71% to 167.31% [2]. - Shannon Chip expects a net profit of 480 million to 620 million yuan for 2025, with a growth rate of 81.77% to 134.78%, driven by increased demand for enterprise-level storage products due to the rise of generative AI [3]. - Zhongwei Company anticipates a revenue of approximately 12.385 billion yuan for 2025, a year-on-year increase of about 36.62%, and a net profit of 2.08 billion to 2.18 billion yuan, reflecting a growth of 28.74% to 34.93% [4]. R&D Driven Growth - Companies are increasing R&D investments to support growth, with Allwinner Technology projecting a net profit of 251 million to 295 million yuan for 2025, a growth of 50.53% to 76.92% [5]. - Juchip Technology expects a revenue of 922 million yuan for 2025, a year-on-year increase of 41.44%, and a net profit of 204 million yuan, up 91.40% [6]. Institutional Focus on Sustainability - Institutions are closely monitoring semiconductor companies for their AI-related orders and earnings sustainability, with companies like Chip Origin reporting a record new orders of 2.494 billion yuan in Q4 2025, with over 84% related to AI computing [7]. - Companies are also providing products for AI servers and humanoid robots, indicating a broadening application of semiconductor technologies in various sectors [7]. Industrial AI Development - The domestic industrial AI sector is expected to accelerate, with advancements in AI applications across design, manufacturing, and management processes, as reported by Shanxi Securities [8].

Group 1 - The core viewpoint of the news is that the AI cloud market in China is expected to experience significant growth, with Alibaba Cloud aiming to capture 80% of the market increment by 2026, indicating a transformative phase for the cloud computing industry driven by AI [1] - The AI and industrial software sectors are predicted to accelerate their integration, with IDC forecasting a compound annual growth rate (CAGR) of 41.4% for the AI+industrial software segment from 2024 to 2029, significantly outpacing the 19.3% CAGR of core industrial software during the same period [2] - The China Securities Artificial Intelligence Theme Index (930713) includes 50 listed companies that provide foundational resources, technologies, and application support for AI, reflecting the overall performance of AI-related securities [2] Group 2 - As of December 31, 2025, the top ten weighted stocks in the China Securities Artificial Intelligence Theme Index account for 58.08% of the index, with notable companies including Zhongji Xuchuang, Xinyi Sheng, and Cambricon [2] - The AI Artificial Intelligence ETF (512930) closely tracks the performance of the China Securities Artificial Intelligence Theme Index, providing investors with exposure to the AI sector [3]

Core Insights - SymphonyAI has launched eight new industrial AI applications specifically designed for the unique operational needs of CPG (Consumer Packaged Goods) and Food and Beverage manufacturers, representing a significant expansion of its IRIS Foundry platform [1][2] Group 1: Product Features - The new applications are powered by Microsoft Azure and are tailored to address the complexities of high-speed food and beverage manufacturing, including high-velocity packaging lines and various operational challenges [2][4] - These applications utilize real-time optimization capabilities, leveraging Azure IoT Operations to process critical data close to the source, which is essential for decision-making in fast-paced environments [5] - Key functionalities include AI optimization for cleaning cycles, real-time analytics for line performance, digital twin simulations, advanced defect detection, predictive maintenance, and intelligent material flow management [6] Group 2: Industry Context - CPG manufacturing operates at a different speed and complexity compared to traditional industrial environments, where small parameter drifts can lead to significant yield losses [4] - The new applications are designed to provide CPG-specific intelligence that can be integrated directly into workflows, addressing the unique challenges faced by food and beverage plants [4][8] Group 3: Strategic Importance - The integration of these applications with Microsoft Teams and Microsoft 365 Copilot allows for enhanced collaboration and real-time insights, democratizing access to critical industrial data [7] - The shift towards AI systems that deliver measurable returns on intelligence is emphasized, with the potential for significant operational improvements and margin impacts for manufacturers [8][9] Group 4: Technical Infrastructure - The applications are built on a robust Azure-native architecture, ensuring enterprise-grade scalability and uncompromising security for sensitive operational data [10]

Core Insights - The article highlights the strategic shift of Zhongkong Technology, led by Chu Jian, towards industrial AI, aiming to integrate AI technology deeply into key industrial scenarios [2][3][4]. Group 1: Company Overview - Zhongkong Technology, based in Hangzhou, is a leader in the domestic industrial automation sector with a market capitalization exceeding 40 billion [3]. - Chu Jian, the founder and a key figure in the company, is focusing on transforming Zhongkong into an industrial AI company, leveraging his extensive experience in the field [7][12]. Group 2: AI Business Development - The management plans to achieve annual revenue of 20 billion from AI and 5 billion from robotics within the next 4-5 years, with an investment of 20 billion in AI [5][26]. - The core product for their AI business is the TPT model, which is set to be released in June 2024, designed to enhance productivity by analyzing time-series data [8][10]. Group 3: Technological Innovations - TPT aims to automate the analysis of industrial data, significantly reducing the time required for process optimization from 1-2 months to just a few minutes, improving efficiency by over 90% [10][11]. - The introduction of UCS (Universal Control System) is expected to revolutionize the traditional DCS architecture, reducing cabinet space by 90% and cable costs by 80% [18][19]. Group 4: Market Position and Goals - Zhongkong aims to become a professional AI service provider in the industrial process sector, with a target of reaching a market value of 1 trillion [6][25]. - The company has over 35,000 industrial clients and is transitioning to a subscription-based model, having signed 938 subscription clients by mid-2025 [14][26]. Group 5: Financial Performance and Challenges - Despite ambitious growth plans, Zhongkong reported a double-digit decline in revenue and net profit for the first nine months of 2025, with the robotics segment generating only 120 million in revenue [28][29]. - The company faces pressure to prove its capabilities as it transitions from traditional software to AI-driven solutions [32].

Core Insights - The article highlights the strategic shift of Zhongkong Technology towards industrial AI, with a focus on integrating AI technology into key industrial scenarios [2][4][20] - The company aims to achieve a market capitalization of one trillion yuan by investing 20 billion yuan in AI and robotics over the next 4-5 years [5][20] Company Overview - Zhongkong Technology, based in Hangzhou, is a leading player in the domestic industrial automation sector with a market value exceeding 40 billion yuan [3] - The company is led by Chu Jian, who has a background in academia and has been pivotal in breaking the monopoly of international giants in the DCS (Distributed Control System) market [6][3] AI Business Development - Zhongkong plans to generate annual revenues of 20 billion yuan from its AI business and 5 billion yuan from its robotics business within the next 4-5 years [4] - The company is developing a core product called TPT, a time-series model for industrial processes, which is expected to enhance productivity significantly by predicting equipment failures [7][9] Technological Innovations - TPT leverages over 30 years of industry expertise and aims to automate the analysis of time-series data, drastically reducing the time required for process optimization from months to minutes [10][9] - The introduction of TPT 2.0 is expected to facilitate a shift towards online services, expanding the customer base with 518 pre-orders and 112 contracts on the launch day [13] Strategic Goals - Zhongkong's vision includes becoming a specialized AI service provider in the industrial process sector, with a goal of reaching 50,000 customers [19][20] - The company is transitioning from a project-based model to a subscription-based model, aiming to redefine industrial software configuration and pricing [20] Market Position and Challenges - The DCS market in China is projected to grow, with Zhongkong expected to capture a 40.4% market share by 2024, but the overall market size is limited to approximately 12 billion yuan [23] - Despite ambitious growth plans, the company has faced challenges, including a double-digit decline in revenue and net profit in the first nine months of 2025 [20][21]

Core Viewpoint - Siemens and Nvidia are expanding their partnership to develop industrial AI solutions, aiming to create an industrial AI operating system that integrates AI into manufacturing workflows across various industries [1]. Group 1: Partnership Details - Siemens will provide hundreds of specialists in industrial AI, along with its hardware and software expertise, while Nvidia will supply AI infrastructure, including simulation models and technical blueprints [2]. - The initiative includes plans for Siemens to enhance GPU acceleration throughout its simulation portfolio, increasing compatibility with Nvidia's CUDA-X libraries and AI physics models [2]. Group 2: Technological Advancements - The collaboration aims to enable customers to perform complex simulations at greater speeds, utilizing generative simulations that leverage Nvidia's PhysicsNeMo technology and open models for autonomous digital twins [3]. - A significant aspect of the partnership is the creation of fully AI-driven manufacturing sites globally [3]. Group 3: Implementation Plans - The Siemens Electronics Factory in Erlangen, Germany, is set to be the first location to implement this AI-driven approach in 2026 [4]. - The "AI Brain" will combine software-defined automation with Nvidia Omniverse libraries to facilitate continuous analysis and virtual testing of factory digital twins, driving operational changes based on validated insights [4]. Group 4: Semiconductor Design Integration - Siemens and Nvidia plan to extend their capabilities into semiconductor design by integrating Nvidia's CUDA-X libraries and PhysicsNeMo tools into Siemens' electronic design automation (EDA) suite [5]. - This integration aims to achieve significant efficiency improvements in verification, layout, and process optimization workflows [5]. Group 5: Leadership Insights - Siemens president and CEO Roland Busch emphasized the empowerment of customers to develop products faster and adapt production in real time by combining Nvidia's AI platforms with Siemens' industrial expertise [6]. - Additional features such as AI-assisted layout guidance and circuit optimization are expected to enhance engineering productivity while meeting manufacturing requirements [6].

Siemens 2026 Conference Summary Company Overview - **Company**: Siemens (OTCPK:SIEG.Y) - **Event**: CES 2026 Conference - **Date**: January 06, 2026 Key Industry Insights - **AI Transformation**: Siemens positions itself as a leader in integrating AI into industrial applications, claiming that AI will be as transformative in this century as electricity was in the last century [5][6][8] - **Industrial AI Revolution**: The industrial AI revolution is already underway, with expectations that AI will be embedded in everyday systems within seven years or less [5][6] - **Digital Twins**: Siemens emphasizes the importance of digital twins in simulating and optimizing industrial processes, allowing for real-time adjustments and improvements [8][9][10] Core Company Strategies - **AI Integration**: Siemens is focused on scaling AI technologies across various industries, enhancing operational efficiency and resilience in supply chains [2][3][4] - **Partnerships**: Collaborations with companies like NVIDIA and Microsoft are crucial for developing AI-native technologies and infrastructure [10][11][12] - **Xcelerator Marketplace**: Siemens is launching the Siemens Xcelerator Marketplace to provide a platform for AI-powered technologies and industrial data integration [6][7][10] Technological Developments - **AI-Driven Manufacturing**: Siemens plans to implement AI-driven adaptive manufacturing processes, starting with a fully AI-driven site in Germany in 2026 [71][74] - **Digital Twin Composer**: The Digital Twin Composer will allow for the creation of virtual 3D models of products and processes, enabling real-time data integration and operational optimization [109][110] - **AI Factories**: Siemens is developing AI factories that will require significant investment and advanced simulation technologies to ensure operational success [87][90] Performance Metrics - **Efficiency Gains**: PepsiCo reported a 20% increase in efficiency within three months of using Siemens' Digital Twin Composer, with projected CapEx reductions of 10%-15% across operations [121][122] Future Outlook - **Industrial Metaverse**: Siemens envisions a future where the Industrial Metaverse enhances real-world operations through advanced simulations and AI integration [109] - **Sustainability and Energy**: Siemens is exploring clean energy solutions, including fusion power, to meet the growing energy demands of AI factories and data centers [153] Additional Insights - **Cultural Change**: The integration of AI in industries requires a cultural shift within organizations, focusing on collaboration and adaptation to new technologies [144][145] - **Real-World Applications**: The partnership with PepsiCo and other companies demonstrates the practical applications of Siemens' technologies in improving operational efficiency and customer service [118][127] This summary encapsulates the key points discussed during the Siemens 2026 Conference, highlighting the company's strategic focus on AI integration, partnerships, and technological advancements in the industrial sector.