2026年2月12日，联想集团今日公布截至2025年12月31日的2025/26财年第三财季业绩：集团营收达到 1575亿元人民币，同比增长超过18%；经调整后的净利润同比增长36%，利润增速达到营收增速的两 倍。 具体来看，本财季，联想集团三大业务全部实现双位数增长：IDG智能设备业务集团营收超过1100亿元 人民币，同比增长14.3%，个人电脑销量增速连续十个季度高于市场，推动2025年度市场份额创历史新 高；ISG基础设施方案业务集团营收达到367亿元人民币，同比增长超31%；SSG解决方案与服务业务集 团营收同比增长18%，连续第十九个季度实现双位数增长，同时运营利润率进一步提升至22.5%。 与此同时，AI相关业务已成为联想集团重要增长引擎。第三财季，联想AI相关营收同比增长72%，占集 团总营收比重提升至32%。其中，AI PC营收实现高双位数增长，AI智能手机营收实现三位数增长，AI 服务器营收实现高双位数增长，AI服务营收实现了三位数增长，推动集团业务结构持续向高价值方向 演进。 从更长周期来看，全球AI产业正从以集中训练为主的第一阶段，迈入以推理为核心、更加贴近个人和 企业真实场景的第二阶段 ...

Core Viewpoint - Lenovo Group emphasizes the need for AI to be accessible and beneficial for everyone, rather than relying solely on public AI platforms like OpenAI and others [2][4] Group 1: AI Accessibility - The CEO of Lenovo, Yang Yuanqing, states that promoting AI accessibility is not just about using public AI services [2][4] - He highlights that both individuals and businesses are unlikely to share confidential data and personal privacy for AI intelligence [2][4] Group 2: Data Utilization - Yang points out that AI fundamentally relies on data intelligence, and without providing data, intelligence cannot be obtained [2][4] - To achieve widespread AI adoption, it is essential to integrate suitable models that utilize data effectively and build the necessary infrastructure for computing, storage, and networking [2][4]

Group 1 - Lenovo Group released its FY2025/26 Q3 performance and held a media communication meeting [2][4] - The current ratio of AI training to inference computing demand is 7:3, indicating that only 30% is used for inference [2][4] - The CEO predicts that this ratio will shift to 2:8 in the future, with training demand at 20% and inference at 80%, emphasizing the need for widespread AI adoption [2][4]

Core Viewpoint - Lenovo Group reported its Q3 performance for FY2025/26 and emphasized the importance of long-term partnerships in driving business growth [1] Group 1: Business Partnerships - Lenovo has established partnerships with various manufacturers, achieving collaboration scales in the range of billions of dollars [1] - The partnership with NVIDIA has seen significant growth, with business scale increasing from $1 billion to approximately four times that amount over the past three to four years [1] - Lenovo aims to achieve a similar fourfold increase in its business scale with partners over the next few years [1]

Core Viewpoint - Lenovo Group announced its Q3 performance for FY2025/26 and highlighted advancements in personal intelligence and robotics [2][4] Group 1: Company Developments - Lenovo's CEO Yang Yuanqing stated that the Qira personal intelligence system will integrate across various personal devices, creating a knowledge base from device data to enhance user intelligence [2][4] - The company has made significant progress in robotics, particularly in electrical inspections and industrial applications [2][4] - Lenovo has also achieved notable advancements in automotive computing [2][4]

Core Viewpoint - Lenovo Group reported significant challenges in the hardware sector due to rising storage prices, which increased by 40-50% compared to the previous quarter, with potential for further doubling in the near future [1] Group 1: Financial Performance - Lenovo Group held a media briefing to discuss its FY2025/26 Q3 performance, highlighting the impact of rising component costs on its operations [1] Group 2: Industry Challenges - The CEO emphasized that not only memory prices are rising, but also SSD and CPU prices, creating substantial pressure on hardware manufacturers [1] - The company views these challenges as opportunities, having successfully navigated previous market fluctuations by leveraging its global operational capabilities [1]

Group 1 - The core viewpoint of Lenovo Group's Q3 performance report indicates a revenue of $22.2 billion for the three months ending December 31, 2025, representing an 18% year-on-year growth, while net profit declined by over 20% to $546 million [1] - The smart devices business saw a revenue increase of 14% year-on-year, and AI-related revenue surged by 72%, now accounting for 32% of total revenue [1] - Despite strong revenue growth, Lenovo faced pressure on the cost side, with gross margin declining by 0.6 percentage points to 15.1% [1] Group 2 - Lenovo's CEO emphasized the company's "scale moat," stating that despite supply chain disruptions due to rising storage prices, Lenovo's scale advantage allows it to secure sufficient supply and competitive pricing in its PC, mobile, and server businesses [2] - It is anticipated that PC sales in 2026 may remain flat or slightly decline; however, due to rising average selling prices, revenue in the sales market is expected to grow [2] - Lenovo is confident in maintaining double-digit growth in the coming quarters through its supply chain, operations, and technological product innovations [2] Group 3 - The overall situation in the consumer hardware sector suggests that price increases for end products may lead to a decline in sales volume, which is becoming an industry consensus [4] - The mobile sector is also experiencing similar trends, with rumors of Xiaomi, OPPO, vivo, and Transsion lowering their shipment forecasts [5] - The impending rise in upstream storage prices is expected to further squeeze profit margins for hardware manufacturers, making the ability to offset costs through price increases and supply chain scale advantages a key competitive factor [5]

Core Viewpoint - Goldman Sachs reports that Lenovo Group (00992) exceeded expectations for the quarter ending last December, with a revenue increase of 18% to 22 billion USD, surpassing the bank's and market consensus by 8% and 7% respectively [1] Financial Performance - Revenue increased by 18% year-on-year to 22 billion USD, exceeding Goldman Sachs' and market consensus expectations by 8% and 7% respectively [1] - Gross margin remained at 15.1%, slightly down from 15.4% in the previous quarter, aligning closely with Goldman Sachs' and market consensus expectations of 15.2% and 15.4% [1] - Adjusted operating expense ratio improved from 11.7% in the previous quarter to 11%, better than Goldman Sachs' expectation of 12.1% [1] - Adjusted operating profit grew by 28% year-on-year to 903 million USD, exceeding Goldman Sachs' expectations by 39% [1] - Adjusted net profit increased by 35% year-on-year to 589 million USD, surpassing Goldman Sachs' expectations by 50% [1] Investment Rating - Goldman Sachs maintains a "Buy" rating for Lenovo Group with a target price of 11.98 HKD [1]

Core Viewpoint - Goldman Sachs reported that Lenovo Group (00992) exceeded expectations for its quarterly performance ending last December, with a revenue increase of 18% to $22 billion, surpassing the bank's and market consensus by 8% and 7% respectively [1] Financial Performance - Revenue increased by 18% year-on-year to $22 billion, exceeding Goldman Sachs' and market consensus expectations [1] - Gross margin remained stable at 15.1%, slightly down from 15.4% in the previous quarter, aligning closely with consensus expectations of 15.2% and 15.4% [1] - Adjusted operating expense ratio improved from 11.7% in the previous quarter to 11%, better than Goldman Sachs' expectation of 12.1% [1] - Adjusted operating profit grew by 28% year-on-year to $903 million, exceeding Goldman Sachs' expectations by 39% [1] - Adjusted net profit increased by 35% year-on-year to $589 million, surpassing Goldman Sachs' expectations by 50% [1] Investment Rating - Goldman Sachs maintains a "Buy" rating for Lenovo Group with a target price of HKD 11.98 [1]

Core Viewpoint - Lenovo Group's CEO Yang Yuanqing expressed skepticism about the current AI investment landscape, suggesting that there may be excessive investment in certain areas and cautioning against a universal approach to AI foundational model training [1][1]. Group 1: AI Investment and Market Sentiment - Yang indicated that while there may be over-investment in some AI sectors, the path to achieving Artificial General Intelligence (AGI) remains uncertain [1][1]. - The essence of AI is rooted in the accumulation of historical human data, which is crucial for developing intelligent technologies [1][1]. Group 2: Future of AI Applications - For AI to achieve widespread application, it is essential to leverage private data from enterprises and individuals to create personal intelligence and institutional frameworks [1][1]. - The democratization of AI is expected to drive increased usage of smart terminals and AI technology infrastructure [1][1].