——英伟达 FY26Q4 业绩点评 | [姓名table_Authors] | 电话 | 邮箱 | 登记编号 | | --- | --- | --- | --- | | 秦和平(分析师) | 0755-23976666 | qinheping@gtht.com | S0880523110003 | | 刁云鹏(研究助理) | 021-38674878 | diaoyunpeng@gtht.com | S0880125070016 | 本报告导读： 长期收入上调，毛利率维持坚挺。Agent 应用拐点已至，英伟达将凭借最优的 Token 成本，持续领跑 AI 基础设施。 投资要点： | 财务摘要(百万美元) | 2025A | 2026A | 2027E | 2028E | 2029E | | --- | --- | --- | --- | --- | --- | | 营业收入 | 130,497 | 215,938 | 380,098 | 523,847 | 637,418 | | 同比增长 | 114.2% | 65.5% | 76.0% | 37.8% | 21.7% | | 毛利润 | 97,859 | ...

指引超预期，Token 经济学的最佳增长引擎 英伟达(NVDA.O) ——英伟达 FY26Q4 业绩点评 | [姓名table_Authors] | 电话 | 邮箱 | 登记编号 | | --- | --- | --- | --- | | 秦和平(分析师) | 0755-23976666 | qinheping@gtht.com | S0880523110003 | | 刁云鹏(研究助理) | 021-38674878 | diaoyunpeng@gtht.com | S0880125070016 | 本报告导读： 长期收入上调，毛利率维持坚挺。Agent 应用拐点已至，英伟达将凭借最优的 Token 成本，持续领跑 AI 基础设施。 投资要点： | 财务摘要(百万美元) | 2025A | 2026A | 2027E | 2028E | 2029E | | --- | --- | --- | --- | --- | --- | | 营业收入 | 130,497 | 215,938 | 380,098 | 523,847 | 637,418 | | 同比增长 | 114.2% | 65.5% | 76.0% ...

据《证券时报网》消息，北京时间2月26日凌晨，英伟达公布了截至2026年1月31日的公司2026财年第四 财季（以下简称"第四财季"）财务数据，以及2027财年第一财季（以下简称"第一财季"）的业绩指引。 财报显示，英伟达第四财季营收681亿美元，同比增长73%，市场预期为656.84亿美元，上年同期为 393.31亿美元。其中，数据中心营收为623亿美元，高于市场预期的606.2亿美元，上年同期为355.8亿美 元；四季度网络营收109.8亿美元，高于分析师预期的90.2亿美元；四季度游戏营收37亿美元，不及分析 师预期的40.1亿美元。市场高度关注的业绩指引方面，英伟达预计第一财季营收764.4亿美元—795.6亿 美元，高于市场预估的727.8亿美元。 英伟达创始人兼CEO黄仁勋在财报中表示，"计算需求正呈指数级增长——AI智能体的转折点已经到 来。企业对智能体的应用正在飞速增长。我们的客户正竞相投资AI计算——这些计算能力是推动AI产 业革命和未来发展的动力源泉。" 2. 光模块与CPO（共封装光学）领域：光通信是AI集群互联的"大动脉"，其技术迭代速度直接决定了算 力网络的性能上限，也是解决"内存墙 ...

芯东西2月26日报道，今天，英伟达公布了截至今年1月25日的2026财年第四季度财报以及2026财年全年业绩。本财季，英伟达营收和净利润双 双超越华尔街预期，营收达681.3亿美元（约合人民币4680.2亿元），同比增长73%，环比增长20%；净利润（非GAAP）达395.5亿美元（约合 人民币2716.9亿元），同比增长79%，环比增长25%。 2026财年全年，英伟达营收达到2159.4亿美元（约合人民币14834.0亿元），同比增长65%；净利润则达到1200.8亿美元（约合人民币8248.9亿 元），同比增长65%。 英伟达创始人兼CEO黄仁勋判断，Agentic AI的拐点已经到来，企业对Agent的采用率正在飙升，"在这个AI的新世界里，算力就是营收，没有 算力，就无法生成Token，而没有Token，就无法实现营收增长"。这几乎在说"算力就是金钱"。 黄仁勋透露："我们正与OpenAI继续努力达成合作协议，并相信我们即将达成协议。"黄仁勋还给GTC大会预热，剧透将在GTC期间展示英伟 达将如何使用Groq的技术来扩展其架构。 英伟达CFO Colette Kress称，自ChatGPT诞生以来， ...

4,651,164+$21.89+8.09%$292.46[Albemarle][ALB]• Vol: 2,252,240+$11.88+6.36%$198.71[Corning] [GLW]• Vol: 6,977,991+$8.50+5.61%$160.09## Top Losing Stocks[GoDaddy][GDDY]• Vol: 3,330,377-$15.0716.32%$77.24[First Solar][FSLR]• Vol: 4,843,124-$35.1014.43%$208.11[CoStar Group] [CSGP]• Vol: 3,717,695-$3.607.31%$45.56[DR Horton][DHI]• Vol: 1,258,004-$8.735.33%$155.22[Lennar][LEN]• Vol: 793,870-$6.085.22%$110.32 NVIDIA Cements Its Role as the Backbone of AI Infrastructure - 24/7 Wall St.[S&P 5006,931.80 +0.59%] [Dow ...

Core Insights - NVIDIA Corporation (NVDA) is set to report its fourth-quarter fiscal 2026 results on February 25, expecting revenues of $65 billion, reflecting a 66.7% increase year-over-year [1] - The Zacks Consensus Estimate for quarterly earnings has been revised to $1.52, indicating a year-over-year growth of 70.8% from the previous quarter's earnings of $0.89 per share [2] Revenue Drivers - The Data Center business is anticipated to significantly contribute to NVIDIA's fourth-quarter revenue, driven by the increasing adoption of cloud-based solutions and demand for generative AI and large language models [6][7] - The Gaming and Professional Visualization segments are also expected to show strong performance, with the Gaming segment projected to generate revenues of $4.26 billion and the Professional Visualization segment estimated at $757.6 million [9][10] - The Automotive segment is likely to continue its positive trend, with expected revenues of $662.7 million, supported by investments in self-driving and AI cockpit solutions [10] Stock Performance and Valuation - NVIDIA's stock has increased by 39.8% over the past year, outperforming the Zacks Semiconductor – General industry's growth of 37.3%, but underperforming compared to major competitors like AMD, Intel, and Broadcom [11] - The company is currently trading at a forward 12-month price-to-earnings (P/E) ratio of 25.38X, which is lower than the sector average of 28.1X, indicating an attractive valuation [14][17] Market Position and Future Outlook - NVIDIA is a leader in the generative AI chip market, with significant demand across various industries, including healthcare, automotive, and video game development [18][20] - The global generative AI market is projected to reach $1,260.15 billion by 2034, with a CAGR of 29.3% from 2026 to 2034, suggesting strong future growth potential for NVIDIA [19] - The company's advanced AI chips are expected to drive substantial revenue growth as enterprises upgrade their network infrastructures to support complex generative AI applications [20] Investment Consideration - NVIDIA's strong product portfolio and leadership in AI and data centers present a compelling investment opportunity, especially given its lower valuation multiple compared to the industry [21]

Core Insights - The MLCC industry is experiencing strong growth driven by demand from AI servers and automotive electronics [1] - The trend towards miniaturization, high capacitance, and high voltage MLCCs is being propelled by the increasing penetration of advanced driver assistance systems in the automotive sector [1] - In the AI server sector, the rising demand for computing power is leading to higher requirements for power and energy consumption metrics, resulting in increased usage of high-capacitance, high-temperature MLCCs [1] Industry Trends - The demand for MLCCs in electric vehicles is estimated to be around 20,000 to 30,000 units per vehicle, while AI servers require more than ten times the amount of MLCCs compared to standard servers [1] - According to statistics from Taiwan's largest passive component distributor, the NVL36 cabinet requires approximately 234,000 high-end MLCCs, and the NVL72 cabinet requires about 441,000 MLCCs [1] - This trend is reshaping the supply-demand dynamics of the MLCC industry and is driving strong demand for small particle size high-end powder materials [1]

Summary of Conference Call Records Industry and Company Involved - The discussion primarily revolves around the **AI computing power industry**, specifically focusing on **Industrial Fulian** and **Apple** as key players in the market. Core Points and Arguments 1. **Agent Demand and Market Dynamics** - The introduction of local running modes for agents, such as MultiBot, has sparked significant interest in the market, potentially accelerating the release of more powerful agent functionalities by major companies, which will increase demand for computing resources and promote growth in the edge computing and storage markets [1][3] 2. **Local Storage and Edge Computing** - MultiBot architecture emphasizes local data storage, providing zero-latency access and data control advantages, which will lead to increased demand for local storage solutions. The future may see widespread adoption of personal edge servers, significantly boosting independent incremental demand [1][4] 3. **Domestic Computing Power Development** - Domestic computing power currently lags behind international capabilities by approximately six months. However, it is expected to gradually replace foreign computing power in the local market over the long term. Performance is anticipated to be released in 2026 as production capacity issues are resolved [1][5][6] 4. **Industrial Fulian's Performance Forecast** - Industrial Fulian's 2025 performance forecast exceeds expectations, benefiting from the ramp-up of GB200 and 300 products and growth in VeriSilicon's business. The company is positioned to benefit from the AI trend as a key component of the overseas computing power chain [1][8] 5. **Apple's Financial Performance** - Apple's latest financial results surpassed expectations, driven by strong iPhone 17 sales and record revenue in Greater China. The anticipated product innovations in 2026, including new AirPods and foldable screens, are expected to contribute to growth in non-AI server business [2][9][12] 6. **AI Data Center Business Highlights** - Industrial Fulian's AI data center business, including high-speed switches and AI server assembly, saw significant revenue growth, with 800G and above high-speed switch revenue increasing over 4.5 times year-on-year. The complexity of assembly is increasing, leading to higher value per cabinet and profit margins [2][10] 7. **Global Competitive Position** - Industrial Fulian holds a unique position as the only NV chain alloy ODM assembly supplier, with a strong and stable role in the overseas computing power chain, facing no immediate threats from technological iterations [2][11] 8. **Optical Module Industry Insights** - Leading companies in the optical module sector have reported impressive 2025 performance forecasts, indicating strong downstream demand and growth in high-speed optical module shipments. Investors are advised to focus on the long-term value of leading companies in this sector [2][16] 9. **Future Trends in Optical Communication** - The optical communication industry is expected to see high downstream demand and investment in AI, with significant capital expenditures projected from major companies like Meta and Microsoft. The increasing share of silicon photonics technology is anticipated to create additional market opportunities for leading Chinese firms [2][17] 10. **Market Pricing Trends** - The fiber optic market continues to experience price increases due to ongoing supply-demand imbalances, with major companies managing to mitigate profit impacts despite price pressures from operators [2][18] Other Important but Possibly Overlooked Content - The anticipated growth in edge computing and local storage solutions is expected to create a dual market for cloud and local storage, rather than a zero-sum scenario [1][4] - The performance of domestic computing power is expected to improve significantly by 2027, with increased demand for packaging and testing services as production returns to China [2][7]

Group 1 - NVIDIA's CEO Jensen Huang hosted a "trillion-dollar banquet" in Taiwan, attended by key supply chain partners and industry leaders, indicating strong collaboration and networking within the semiconductor industry [1][2] - Huang emphasized the challenges ahead in 2025 with the production of the Grace Blackwell semiconductor system, which has faced significant design modifications and supply chain disruptions [2][3] - The GB300 cabinet has entered the initial production phase, while the GB200 product is in smooth mass production, showcasing NVIDIA's advancements in technology [2] Group 2 - Huang noted a significant shift in the AI industry, highlighting the profitability of tokens as AI technology has become more effective, suggesting a positive outlook for AI-driven business models [3][4] - The banquet featured a diverse array of industry leaders, including representatives from major companies like ASUS, MediaTek, and TSMC, reflecting the importance of NVIDIA's partnerships in the tech ecosystem [3][4] - The event underscored NVIDIA's commitment to innovation and collaboration, with companies like Advantech transitioning to edge AI solutions, indicating a broader industry trend towards integrating AI into various sectors [4][5]

Core Viewpoint - Nvidia's CEO Jensen Huang hosted a dinner in Taipei with key supply chain executives, emphasizing the importance of collaboration and the challenges ahead in AI technology development [1][4][10]. Group 1: Event Details - The dinner included approximately 40 executives from Taiwanese companies, with only one representative from a mainland Chinese firm [1]. - Notable attendees included leaders from Asus, MediaTek, TSMC, Quanta, and Wistron, highlighting the significance of these partnerships [1][3]. Group 2: Nvidia's Future Plans - Huang discussed the upcoming challenges in 2025 with the production of the Grace Blackwell architecture, indicating that it presents more difficulties than previous models [7]. - The GB300 cabinet has entered initial mass production, and the GB200 product is being produced smoothly, while the Vera Rubin platform is expected to simplify future production processes [8][9]. Group 3: AI Industry Insights - Huang noted that AI has become increasingly useful, with large language models now generating revenue, contrasting with previous years when AI was less effective [8]. - He projected that 2026 will be a critical year for the AI industry, with unprecedented demand for high-bandwidth memory (HBM) and LPDDR, leading to significant supply chain pressures [9]. Group 4: Nvidia's Strategic Investments - Nvidia plans to participate in OpenAI's next funding round, potentially marking its largest strategic investment to date, reflecting the company's commitment to AI development [9]. - Huang emphasized that Nvidia's comprehensive AI infrastructure, which includes CPUs, GPUs, and networking chips, cannot be easily replaced by specialized AI chips (ASICs) [9]. Group 5: Importance of Taiwanese Supply Chain - Huang stated that Nvidia's existence is heavily reliant on Taiwan's technological capabilities and engineering culture, particularly praising TSMC's role in advanced manufacturing processes [10]. - He anticipates that TSMC's capacity will grow significantly over the next decade, contributing to a major expansion in global technology infrastructure [10][12].