NVDA
T14.0% portfolioNVIDIA Corporation
AI '24: Manf & FoundriesAI '25: Nvidia GPU ComplexAI '26: Big 7AI '26: Intelligence Infrastructure SupercycleAI '26: Midstream AI MaterialsAI '26: NeocloudsDrones '26: Mission Payload & IntelligenceHumanoid '25: Compute & Edge AIMemory '26: Graphics & Mobile MemoryRenewable Energy '26: AI-Driven Energy MgmtShipbuilding '26: Shipyard Equipment & TechSpace Supply Chain '26: Space-Grade Chips & ElectronicsStagflation Short '25: Expensive TechToys & Hobbies '25: Electronic Toys & HobbiesVideo Games '25: Gaming Infra
OverviewNVIDIA Corporation provides chips and software for AI, gaming, and autonomous systems. Its dominant Data Center segment ($75B in Q1 FY27) powers AI factories fo
NVIDIA Corporation provides chips and software for AI, gaming, and autonomous systems. Its dominant Data Center segment ($75B in Q1 FY27) powers AI factories for hyperscalers, AI clouds, and enterprises. Edge Computing ($6.4B) addresses AI in PCs, robotics, and automotive. NVIDIA sells to major cloud providers, AI model makers, and sovereign customers, with new Vera CPUs expanding its market.
- What They Do (Plain English & Analogies)
- NVIDIA designs and builds the specialized computer brains and software that power artificial intelligence (AI), advanced gaming, and self-operating systems. Imagine them as the architects and builders of 'AI factories' – these aren't traditional factories, but massive data centers filled with their super-powerful processors (GPUs), specialized central processing units (CPUs), and lightning-fast networking gear. These 'factories' are designed to teach and run complex AI models, which then generate 'tokens' (the AI's output, like words in a chatbot or actions in a robot). For their customers, generating more tokens directly means more revenue. So, if the AI revolution is like a digital gold rush, NVIDIA isn't just selling the best shovels; they're providing the entire automated mining operation, the high-speed transportation for the gold, and the smart software telling everyone where to dig, making them the core infrastructure provider for the world's AI.
- Very Brief History
- Founded in 1993, NVIDIA initially focused on PC graphics, inventing the Graphics Processing Unit (GPU) in 1999. A crucial turning point came in 2006 with CUDA, a software platform that allowed GPUs to perform general-purpose computing, inadvertently positioning them as leaders in the deep learning revolution. Following the 2020 acquisition of networking giant Mellanox, the company evolved into a full-stack data center company, becoming a primary infrastructure provider for the generative AI era with architectures like Hopper, Blackwell, and the upcoming Rubin platforms.
- "Street Stereotype"
- NVIDIA is widely perceived as the 'AI Kingmaker' and the 'only game in town' for high-end AI training and inference. Investors generally view it as a high-margin monopoly on the future of computing, indispensable for the ongoing AI infrastructure build-out. However, this perception is often accompanied by concerns over the sustainability of massive capital expenditures by large tech companies, geopolitical risks related to China, and the relentless need for generational performance gains.
- Subsidiaries On Linked In*
- Mellanox Technologies — Acquired in 2020, forms the core of NVIDIA's networking solutions.; LinkedIn: mellanox-technologies
- Customer Sectors & Example Clients
- NVIDIA serves diverse sectors including: **Cloud Service Providers (CSPs) and Hyperscalers:** Microsoft Azure, AWS, Google Cloud, Oracle Cloud, Meta, CoreWeave, StacyX AI. **AI Foundation Model Builders:** OpenAI (GPT-5.5 Codex), Anthropic, xAI, Gemini, MSL, Microsoft AI, TML, Reflection, Perplexity, Cursor. **Enterprise/Industrial:** Eli Lilly, Dassault Systemes, Siemens, Synopsys, Cadence, Adobe. **Sovereign Nations:** Nearly 40 countries globally. **Automotive/Robotics:** Uber (robotaxi fleets), leading robotics companies.
- New Customers / Segments They'Re Targeting
- NVIDIA is actively targeting new segments beyond traditional hyperscalers, as reflected in their new reporting framework. The 'ACIE' sub-market within Data Center specifically targets AI clouds, industrial companies, enterprises, and sovereign nations building their own AI factories. In Edge Computing, they are expanding into devices for 'agentic and physical AI,' which includes PCs, gaming consoles, workstations, AI RAN base stations, robotics, and automotive applications. The introduction of the Vera CPU, purpose-built for agentic AI, also opens a brand new $200 billion market segment for NVIDIA, which they had not addressed before.
- Supply Chain And Sourcing Geographies
- NVIDIA operates a fabless model, meaning it designs chips but outsources manufacturing. Its primary chip manufacturing partner is TSMC (Taiwan Semiconductor Manufacturing Company), with production of Blackwell chips underway at TSMC's Phoenix, Arizona facility. Other key suppliers for semiconductors and memory include Samsung Electronics (South Korea) and Micron Technology (USA), and SK Hynix (South Korea) for High Bandwidth Memory (HBM). For chip packaging and testing, partners like Amkor and SPIL are involved in Arizona. Final assembly of AI supercomputers is being set up with Foxconn (Houston, USA) and Wistron (Dallas, USA). The company emphasizes its 'intense focus, scale, and long standing partnerships with critical suppliers' and has increased total supply commitments to $145 billion, extending into calendar 2027.
- Sales Geographies And Expansion Plans
- NVIDIA sells its products globally, with significant revenue generated from the United States, Taiwan, China, and other Americas regions. In Q1 FY27, the U.S. accounted for approximately 78% of reported revenue, while China + Hong Kong represented 5.6%. NVIDIA AI infrastructure is deployed across nearly 40 countries for sovereign AI initiatives. While the U.S. government has approved licenses for H200 to be shipped to China-based customers, NVIDIA has yet to generate any revenue from these sales and is uncertain if imports will be allowed, leading to no China data center compute revenue being included in their Q2 FY27 outlook. The company continues to engage with governments to advocate for its ability to compete globally.
- How Key Themes May Help/Hurt
- The buildout of 'Mission Payload & Intelligence' could indirectly benefit NVIDIA. As defense technologies increasingly integrate AI for applications like advanced drones, autonomous systems, and intelligence processing, NVIDIA's Edge computing platforms (e.g., Jetson) and general AI compute capabilities could find new markets. The company's focus on 'physical AI' and robotics, including partnerships for robotaxis, aligns with the development of autonomous systems that could be adapted for defense or intelligence missions. However, the highly specialized and often classified nature of defense contracts might require specific certifications and partnerships, potentially limiting direct, large-scale revenue streams compared to its core data center business. The broader 'AI '26: Intelligence Infrastructure Supercycle' is a direct and significant tailwind for NVIDIA, as the company is at the center of the accelerating global build-out of AI factories, with demand for compute capacity directly translating to revenue and profits for its customers.
3 Main Long-Term Bull Details
- Unmatched Innovation and Annual Product Cadence: NVIDIA's commitment to delivering an entire AI infrastructure every year, with architectures like Blackwell and the upcoming Rubin platform (including the Vera CPU), ensures continuous generational leaps in performance per watt and opens new multi-billion dollar total addressable markets (TAMs). This rapid innovation, backed by significant R&D, maintains a multi-year lead and makes its architecture indispensable for AI factories.
- Full-Stack AI Infrastructure and Ecosystem Dominance: NVIDIA's comprehensive approach, encompassing the CUDA software platform, advanced networking solutions (NVLink, Spectrum-X Ethernet, InfiniBand), and integrated systems, allows it to architect entire AI data centers. This full-stack strategy creates a deep competitive moat, drives high attach rates for its components, and positions NVIDIA as the central enabler for the entire AI ecosystem.
- Agentic and Physical AI Inflection Points: The emergence of agentic AI, where AI systems perform productive and valuable work, is driving exponential demand for compute as 'tokens become profitable.' Beyond this, the nascent but rapidly expanding 'Physical AI' market, including robotaxis and industrial robotics, represents a massive new TAM that NVIDIA is uniquely positioned to capture with its edge computing and robotics platforms.
3 Main Long-Term Bear Details
- Geopolitical Risks and China Export Controls: Ongoing geopolitical tensions and U.S. export controls severely limit NVIDIA's ability to sell its most advanced data center compute products to China. Despite approved licenses for H200, no revenue has been generated, and the company excludes China data center compute revenue from its outlook, indicating a significant and persistent market constraint.
- Gross Margin Sustainability Amid Rising Input Costs: While NVIDIA currently maintains strong gross margins in the mid-70s, these face pressure from the increasing complexity of advanced architectures like Blackwell and Rubin, coupled with rising input costs for critical components such as High Bandwidth Memory (HBM) and advanced packaging. The relentless pursuit of 'generational leaps' in performance per watt implies continuous R&D and manufacturing challenges that could impact profitability.
- Hyperscaler Custom Silicon and Potential CapEx Digestion: A significant portion of NVIDIA's revenue comes from a few large hyperscalers, who are increasingly investing in developing their own custom AI chips (ASICs). While NVIDIA's full-stack approach and CUDA moat provide strong differentiation, the long-term threat of customer cannibalization exists. Furthermore, if the massive AI capital expenditures do not translate into proportional revenue growth for these customers, a 'digestion period' could lead to a slowdown in new orders.
- Competitors And Differentiation
- NVIDIA faces competition from several fronts. Direct competitors in AI chips include AMD (with its MI series, gaining traction with Meta and Microsoft), Intel (with its Gaudi series and internal foundry), and Broadcom (in custom AI accelerators/ASICs). Hyperscalers like Google (TPUs), Amazon (Trainium, Inferentia), and Microsoft are also developing their own custom silicon for internal data centers, posing a long-term threat. Additionally, AI chip startups like Groq (LPU for low-latency inference), Cerebras (wafer-scale chips), and SambaNova (dataflow architecture) offer specialized solutions. NVIDIA differentiates itself through: 1. **CUDA Ecosystem:** A massive, deeply entrenched software platform with millions of developers, creating a significant moat. 2. **Full-Stack Co-Design:** An extreme co-design approach across chips, systems, networking, and software, delivering complete, optimized AI factory solutions. 3. **Annual Product Cadence:** A rapid, unmatched pace of innovation with new architectures like Blackwell and Rubin, ensuring continuous generational leaps in performance per watt and cost efficiency. 4. **Lowest Token Cost & Highest Throughput:** Consistently demonstrating superior performance in AI inference benchmarks (e.g., MLPerf), offering the industry's lowest token cost and highest token throughput. 5. **Vera CPU:** The introduction of Vera, the world's first CPU purpose-built for agentic AI, offering superior performance and density compared to x86 alternatives, opening a new market where NVIDIA aims to be the leading CPU supplier.
- Recent Performance & What The Market'S Focused On
- NVIDIA delivered an exceptional Q1 FY27, with total revenue of $82 billion, up 85% year-over-year and 20% sequentially, marking its third consecutive quarter of year-over-year acceleration. Data Center revenue surged to $75 billion, up 92% year-over-year. The company provided strong Q2 FY27 revenue guidance of $91 billion, plus or minus 2%, indicating continued sequential growth. NVIDIA also announced a significant increase in shareholder returns, raising its quarterly dividend from $0.01 to $0.25 per share and authorizing an additional $80 billion for share repurchases. The market is focused on the sustainability of this hypergrowth, particularly the continued ramp of Blackwell and the upcoming VeraRubin platforms, the impact of the new Vera CPU on the total addressable market, and the company's ability to manage supply chain complexities and geopolitical risks in China.
- Revenue Segments And Estimated Mix
- Data Center — Mix: ~91.5%; Source: Q1 FY27 earnings transcript; Trend: $75 billion, up 92% year over year and 21% sequentially. This segment is further broken down into Hyperscale (~50% of Data Center revenue) and ACIE (~50% of Data Center revenue).
- Edge Computing — Mix: ~7.8%; Source: Q1 FY27 earnings transcript; Trend: $6.4 billion, up 10% quarter over quarter and 29% year over year.
- Product Brands
- GeForce
- GeForce NOW
- Quadro
- NVIDIA RTX
- vGPU
- Omniverse
- Blackwell
- Rubin
- Vera
- VeraRubin
- NVLink
- Spectrum-X
- InfiniBand
- ConnectX-9 SuperNIC
- BlueField-4 DPUs
- DRIVE
- Jetson
- NVIDIA AI Enterprise
- CUDA
- GB300
- NVL72
- H100
- A100
- H200
- XDR technology
Bull / Bear DetailsAs of June 1, 2026, NVIDIA's extraordinary AI infrastructure growth, driven by Blackwell and the upcoming VeraRubin, faces increasing headwinds. While demand fo
Thesis
As of June 1, 2026, NVIDIA's extraordinary AI infrastructure growth, driven by Blackwell and the upcoming VeraRubin, faces increasing headwinds. While demand for agentic AI is parabolic, rising input costs, persistent supply constraints, and a modest decline in consumer demand for edge computing, coupled with ongoing geopolitical risks in China, suggest the current valuation is unsustainable. The bear case is more compelling given these mounting pressures on profitability and market share in an 'Expensive Tech' environment.
Bull case
NVIDIA continues to demonstrate unparalleled dominance in AI infrastructure, with Q1 FY27 total revenue up 85% year-over-year to $82 billion and data center revenue surging 92% to $75 billion. The Blackwell architecture achieved the fastest product ramp in company history, and confidence remains high for $1 trillion in Blackwell and Rubin revenue from 2025 through calendar 2027.
The introduction of Vera, the world's first CPU purpose-built for agentic AI, opens a brand new $200 billion TAM for NVIDIA, with nearly $20 billion in CPU revenue expected this year. This, alongside the rapid growth in ACIE (AI clouds, industrial, enterprise) and physical AI (exceeding $9 billion in 12 months), diversifies revenue streams beyond traditional hyperscalers.
NVIDIA's full-stack innovation, including its Spectrum-X Ethernet platform (now larger than all Ethernet network peers combined) and InfiniBand (growing over 4x year-over-year), ensures the industry's lowest token cost and highest throughput. Strategic partnerships with frontier model makers like Anthropic and OpenAI further solidify NVIDIA's indispensable role in the AI ecosystem.
Bear case
Geopolitical risks continue to severely limit NVIDIA's upside in China, with no data center compute revenue assumed from the region in the Q1 FY27 outlook and uncertainty regarding H200 imports. This persistent exclusion from a critical market, coupled with progress from local Chinese competitors, poses a significant long-term threat to global market share.
Despite strong current gross margins, the transcript notes they were largely flat sequentially, and NVIDIA expects to be 'supply constrained throughout the entire life of VeraRubin.' Rising input costs for HBM and advanced packaging, combined with full-year operating expenses projected to grow in the 'upper forties' year-over-year, could pressure future profitability and margin sustainability.
Consumer demand for edge computing 'fell modestly due to higher memory and system prices,' indicating price sensitivity and potential demand weakness. This aligns with the 'Expensive Tech' thesis, where high valuations face risks from slowing monetization of generative AI services and potential 'digestion periods' for massive AI CapEx, leading to a sharp decline in new orders.
Bull / Bear Case
- Bear Case
- Geopolitical risks continue to severely limit NVIDIA's upside in China, with no data center compute revenue assumed from the region in the Q1 FY27 outlook and uncertainty regarding H200 imports. This persistent exclusion from a critical market, coupled with progress from local Chinese competitors, poses a significant long-term threat to global market share. Despite strong current gross margins, they were largely flat sequentially, and NVIDIA expects to be "supply constrained throughout the entire life of VeraRubin." Rising input costs for HBM and advanced packaging, combined with full-year operating expenses projected to grow in the "upper forties" year-over-year, could pressure future profitability and margin sustainability. Consumer demand for edge computing "fell modestly due to higher memory and system prices," indicating price sensitivity and potential demand weakness.
- Bull Case
- NVIDIA continues to demonstrate unparalleled dominance in AI infrastructure, with Q1 FY27 total revenue up 85% year-over-year to $82 billion and data center revenue surging 92% to $75 billion. The Blackwell architecture achieved the fastest product ramp in company history, and confidence remains high for $1 trillion in Blackwell and Rubin revenue from 2025 through calendar 2027. The introduction of Vera, the world's first CPU purpose-built for agentic AI, opens a brand new $200 billion TAM for NVIDIA, with nearly $20 billion in CPU revenue expected this year. This, alongside the rapid growth in ACIE (AI clouds, industrial, enterprise) and physical AI (exceeding $9 billion in 12 months), diversifies revenue streams beyond traditional hyperscalers. NVIDIA's full-stack innovation, including Spectrum-X Ethernet and InfiniBand, ensures the industry's lowest token cost and highest throughput. Strategic partnerships with frontier model makers like Anthropic and OpenAI further solidify NVIDIA's indispensable role in the AI ecosystem.
- More Compelling & Why
- Bull. NVIDIA's forward P/E of 23.84x is significantly below its 5-year median P/E of 60.92x and 3-year average of 56.1x, suggesting the market is not fully pricing in the confirmed production of Vera Rubin, the new $200 billion TAM from Vera CPU, and the entry into the PC market with RTX Spark, which collectively reinforce its AI infrastructure dominance and open new growth vectors. A significant deceleration in data center revenue growth below current projections, or a material impact from supply constraints on VeraRubin revenue, would challenge this bullish outlook.
Key Factors
| Key Factor | Why It Matters | What To Watch | What It Signals | Where/How To Track | Free Alt Data | Paid Alt Data |
|---|---|---|---|---|---|---|
| Continued exclusion of China data center compute revenue from outlook and lack of revenue generation from H200 shipments to China. | Geopolitical risks and export controls severely limit NVIDIA's access to a significant market, impacting potential revenue upside and long-term market share. | Management commentary on China data center compute revenue in Q2 FY27 earnings call and subsequent quarters. Any updates from the U.S. Department of Commerce (BIS) regarding export license approvals for high-performance compute to China. | Bearish: Continued explicit exclusion of China data center compute revenue from outlook, or no reported revenue from H200 shipments to China in Q2 FY27 and beyond. | NVIDIA's quarterly earnings releases and conference call transcripts (e.g., Q2 FY27 earnings call scheduled for August 26th, 2026). U.S. Department of Commerce (BIS) press releases or official statements. | News reports from Reuters, Bloomberg, or Wall Street Journal on U.S.-China semiconductor trade policies. | |
| Continued modest decline in consumer demand for Edge Computing due to higher memory and system prices. | This indicates sensitivity to pricing in a segment that includes PCs and gaming, potentially limiting growth and reflecting broader 'Expensive Tech' theme risks. | Edge computing revenue growth rate in Q2 FY27 and subsequent quarters. Management commentary on consumer demand trends and memory/system pricing impact. | Bearish: Edge computing revenue growth decelerating further below Q1 FY27's 10% sequential growth and 29% year-over-year growth, or explicit mention of continued negative impact from higher memory/system prices. | NVIDIA's quarterly earnings releases and conference call transcripts (e.g., Q2 FY27 earnings call scheduled for August 26th, 2026). | Industry reports on PC and gaming hardware sales trends (e.g., IDC, Gartner). | TrendForce: Memory pricing trends (DRAM, NAND). NPD Group/Circana: PC and gaming hardware sales data. |
| Non-GAAP Gross Margin Sustainability below mid-70s target. | Gross margin sustainability is crucial for profitability, and pressure from rising input costs (HBM, advanced packaging) or system complexity could impact earnings, aligning with the 'Expensive Tech' theme. | NVIDIA's reported non-GAAP gross margin in Q2 FY27 and subsequent quarters. Management's commentary on the full-year FY27 gross margin outlook. | Bearish: Non-GAAP gross margin reported below 74.5% in Q2 FY27 or subsequent quarters, or management lowering the full-year mid-70s gross margin outlook. | NVIDIA's quarterly earnings releases and conference call transcripts (e.g., Q2 FY27 earnings call scheduled for August 26th, 2026). | Financial news outlets (e.g., Seeking Alpha, Yahoo Finance) for analyst consensus and reported margins. | FactSet/Bloomberg Terminal: NVDA Gross Margin estimates and reported. |
| Full-year FY27 operating expense growth exceeding upper forties year-over-year. | Rapidly accelerating operating expenses, particularly for R&D and infrastructure, could pressure operating income and net profitability if not offset by proportional revenue and gross margin expansion. | NVIDIA's reported GAAP and non-GAAP operating expenses in Q2 FY27 and subsequent quarters. Management's updated full-year FY27 OpEx growth guidance. | Bearish: Full-year FY27 OpEx growth guidance revised upwards beyond the 'upper forties' year-over-year, or actual OpEx growth in Q2 FY27 significantly exceeding expectations without a corresponding revenue beat. | NVIDIA's quarterly earnings releases and conference call transcripts (e.g., Q2 FY27 earnings call scheduled for August 26th, 2026). | FactSet/Bloomberg Terminal: NVDA Operating Expense estimates and reported. | |
| Delays in VeraRubin production shipments or significant revenue impact from supply constraints. | VeraRubin is a major new platform expected to drive significant future revenue. Any delays or severe supply constraints could limit revenue realization and impact market expectations. | Confirmation of VeraRubin production shipments commencing in Q3 2026. Management commentary on the severity and impact of 'supply constrained throughout the entire life of VeraRubin' on revenue guidance. | Bearish: Announcement of delays in VeraRubin production shipments beyond Q3 2026, or management explicitly stating that supply constraints will materially limit VeraRubin revenue in FY27. | NVIDIA's quarterly earnings releases and conference call transcripts (e.g., Q2 FY27 earnings call scheduled for August 26th, 2026). Company press releases regarding product launches. | Industry news and analyst reports on semiconductor supply chain and advanced packaging capacity. | Supply Chain visibility platforms (e.g., Resilinc, Everstream Analytics) for component lead times. TechInsights: Analysis of new product ramps and manufacturing yields. |
Key Reported Metrics
| Metric | Why It Matters | Last Period |
|---|---|---|
| Data Center Revenue | This is the core of NVIDIA's investment thesis, driven by Blackwell and Rubin ramps and hyperscaler capital expenditures. Sustained high growth confirms NVIDIA's leadership in AI infrastructure and the adoption of 'AI factories'. | 92% |
| Total Revenue | Reflects NVIDIA's overall performance and the accelerating global AI build-out. Exceeding guidance signals sustained strong demand and validates the AI supercycle, alleviating concerns about potential CapEx digestion periods. | 85% |
| Data Center Networking Revenue | Networking is NVIDIA's fastest-growing segment and crucial for scaling AI clusters. Strong growth validates NVIDIA's full-stack AI infrastructure strategy and high attach rates of its Spectrum-X Ethernet and InfiniBand solutions to GPUs. | ~200% |
Key QuestionsCan NVIDIA sustain its aggressive revenue growth trajectory, particularly the newly projected $1 trillion Blackwell and Rubin revenue through calendar 2027, giv
Can NVIDIA sustain its aggressive revenue growth trajectory, particularly the newly projected $1 trillion Blackwell and Rubin revenue through calendar 2027, given the acknowledged supply constraints for VeraRubin and potential softening in consumer demand for Edge Computing due to higher memory and system prices, which could lead to a revenue miss or deceleration that validates the 'Expensive Tech' short thesis?
- Question 2
Despite current guidance for non-GAAP gross margins in the mid-70s, will NVIDIA face increasing pressure on profitability from rising input costs for HBM and advanced packaging, coupled with the escalating complexity of Blackwell and Rubin systems and the rapid OpEx growth, leading to a decline in gross margins that confirms the 'Expensive Tech' short thesis of margin compression?
- Question 3
Will the continued exclusion of China from data center compute revenue, coupled with the long-term threat of hyperscalers developing sophisticated custom silicon and potential skepticism regarding the ROI of massive AI CapEx, lead to a material erosion of NVIDIA's market share and pricing power, thereby validating concerns about overvaluation and a slowdown in demand for its high-end AI infrastructure?
Rerating Thresholds
| Metric | What'S Needed For Rerating | Why It Matters | Earnings Date |
|---|---|---|---|
| Total Revenue | For NVIDIA Corporation (NVDA) to rerate higher, the Total Revenue metric needs to demonstrate continued acceleration and exceed high market expectations. Specifically, for Q4 FY26, Total Revenue should surpass NVIDIA's own guidance upper limit of $66.3 billion and ideally reach or exceed analyst estimates around $67.2 billion. More critically, the Q1 FY27 revenue guidance needs to be at or above $75 billion, significantly exceeding the current forecast of $71 billion to $72.7 billion. This would signal an accelerating revenue growth trajectory beyond the already strong 67-68% year-over-year growth expected for Q4 FY26. | Achieving these revenue thresholds is crucial as it validates NVIDIA's sustained leadership in the AI infrastructure market and confirms the durability of the AI supercycle. Exceeding expectations, especially in forward guidance, signals that hyperscaler capital expenditures and broader AI adoption are not only robust but accelerating, reinforcing NVIDIA's full-stack systems thesis and expanding total addressable market. This performance would alleviate concerns about potential AI CapEx digestion periods and geopolitical risks, justifying a premium valuation and strengthening its competitive moat against custom silicon. | 2026-02-25 |
| Networking Revenue | For NVIDIA's stock to rerate higher, Networking Revenue needs to exceed $9.5 billion in the upcoming Q4 FY26 earnings report. This target is explicitly identified as a 'Bullish' signal in the company's key factors. This would also represent a significant beat over the current analyst consensus estimate of approximately $9.0 billion for Q4 FY26 Networking Revenue. While sequential growth below 20% is noted as a potential bearish signal, achieving the $9.5 billion mark is the primary quantitative threshold for a positive rerating. | Hitting this threshold matters because Networking is NVIDIA's fastest-growing segment and is crucial for scaling AI clusters. Strong networking revenue validates NVIDIA's transition to a full-stack AI systems provider, demonstrating high attach rates of its Spectrum-X Ethernet and InfiniBand solutions to GPUs. This reinforces its competitive moat and its role as the architect of the world's AI infrastructure, driving long-term valuation and market confidence. | 2026-02-25 |
| Data Center Revenue | For NVIDIA Corporation (NVDA) to rerate higher, its Data Center Revenue needs to demonstrate year-over-year growth of 75% or higher in the upcoming Q4 FY26 report or provide guidance for such acceleration in Q1 FY27. This must be accompanied by a Blackwell (GB300) mix exceeding 75% of Blackwell revenue, networking revenue above $9.5 billion in Q4 FY26, and non-GAAP gross margins at or above 75%. Additionally, confirmation and potential upward revision of the $500 billion Blackwell and Rubin revenue visibility through calendar year 2026 would be crucial. | Hitting this threshold validates NVIDIA's accelerating monetization of its Blackwell and Rubin pipeline, reinforcing its dominance in AI infrastructure. It signals sustained hyperscaler CapEx and strong adoption of its full-stack systems, justifying a premium valuation and validating its long-term growth thesis. | 2026-02-25 |
Earnings Transcript Summary
· 2027Q1 Earnings Call
| 3 Things Management Is Most Focused On | Call Takeaway & Tone | Prior Quarter'S Y/Y Growth By Segment | 3 Things Analysts Most Pressed On (And Mgmt Responses) | Revenue Segments |
|---|---|---|---|---|
| 1. Ramping Blackwell and preparing for VeraRubin: Management is focused on the rapid deployment of Blackwell systems, which marked the fastest product ramp in the company's history, and is on track to commence production shipments of VeraRubin in the second half of this year, starting in Q3. They emphasize delivering the industry's lowest token cost and highest token throughput. 2. Expanding into diverse AI market segments: NVIDIA is focused on addressing growth opportunities in new submarkets like ACIE (AI clouds, industrial, enterprise) and sovereign AI, which are growing incredibly fast beyond traditional hyperscalers, and the robotic edge, which includes physical AI. 3. Introducing and deploying Vera CPU: Management is highlighting Vera, the world's first CPU purpose-built for agentic AI, as a major new growth driver that opens a brand new $200 billion TAM for NVIDIA, with nearly $20 billion in total CPU revenue expected this year. | The overall takeaway is that NVIDIA delivered an extraordinary quarter with demand going 'parabolic,' driven by the arrival and proliferation of agentic AI, which management sees as a fundamental shift where 'compute capacity is revenue and profits.' The company is experiencing unprecedented growth across its data center business, fueled by the Blackwell architecture and strong anticipation for VeraRubin. Management is highly confident and visionary, emphasizing NVIDIA's unique position as the platform for the AI era, its unmatched annual product cadence, and its expansion into new, diverse market segments (AI natives, sovereign AI, physical AI, and the new CPU market). The tone was overwhelmingly bullish, optimistic, and assertive about NVIDIA's continued leadership and long-term growth trajectory in the evolving AI landscape. | Total revenue: +73% y/y (accelerated to 85% in Q1 FY27). Data Center revenue: +75% y/y (accelerated to 92% in Q1 FY27). Networking revenue: +350% y/y (decelerated to ~200% in Q1 FY27). Edge computing is a new segment. Its components in Q4 FY26 were: Gaming +47% y/y, Professional Visualization +159% y/y, Automotive +6% y/y. | 1. Segmentation change and the new CPU number: Analysts questioned the rationale behind the new reporting segmentation (Hyperscale, ACIE, Edge Computing) and the competitive differences between these segments, as well as the 'surprising CPU number' mentioned. Management (Jensen Huang) explained that the segmentation better reflects the diverse nature of AI and computing across hyperscale clouds, AI natives/enterprise/industrial/sovereign AI, and the robotic edge, each with different go-to-market strategies and technology needs. He clarified that the Vera CPU opens a new market for NVIDIA. 2. Growth philosophy and growing faster than hyperscaler CapEx: Analysts asked if NVIDIA's goal is to grow faster than hyperscaler CapEx and if hyperscaler CapEx would continue its rapid growth. Management (Jensen Huang) affirmed that NVIDIA should grow faster than hyperscaler CapEx due to its diverse data center business, which includes not only hyperscalers but also the rapidly growing AI native clouds, enterprise, industrial, and sovereign AI segments. He reiterated that 'Compute is revenues' in the AI era, driving continued CapEx. 3. Role of CPU for Agentic applications and the $20 billion number: Analysts inquired about the role of CPUs for agentic applications, whether it's an incremental workload or cannibalistic, and how the $20 billion CPU revenue number fits into their product strategy. Management (Jensen Huang) clarified that the $20 billion is for standalone Vera CPUs, and that Vera is used in multiple ways (VeraRubin, standalone, with CX9 for storage/security). He explained that agents use CPUs for orchestration and tool use, while GPUs handle the 'thinking' (inference), making CPUs incremental and essential for the vast number of agents expected in the future. | Total revenue: $82 billion, up 85% year over year. Data center revenue: $75 billion, up 92% year over year. Data center computing revenue: $60 billion, up 77% year over year. Data center networking revenue: $15 billion, nearly tripled year over year. Edge computing market platform: $6.4 billion, up 29% year over year. |
· 2026Q4 Earnings Call
| 3 Things Management Is Most Focused On | Call Takeaway & Tone | Prior Quarter'S Y/Y Growth By Segment | 3 Things Analysts Most Pressed On (And Mgmt Responses) | Revenue Segments |
|---|---|---|---|---|
| 1. Sustaining AI Leadership through Innovation and Co-design: Management is focused on delivering generational leaps in performance per watt and performance per dollar through an annual product cadence (Blackwell, Rubin platforms) and extreme co-design across chips, systems, algorithms, and software, supported by a significant R&D budget. 2. Expanding and Deepening the AI Ecosystem: NVIDIA is strategically investing in and partnering with frontier model makers (OpenAI, Anthropic, Meta, Grok) and industrial partners (Dassault Systemes, Siemens, Synopsys) to ensure the entire AI stack and various industry-specific applications are built on its CUDA platform. 3. Monetizing the Agentic and Physical AI Inflection: Management emphasizes that "compute equals revenues" for customers due to the exponential growth in token generation by agentic AI, and sees physical AI (robotics, autonomous vehicles, industrial digital twins) as a massive, emerging opportunity driving future demand. | The overall takeaway is that NVIDIA is experiencing exceptional growth driven by the accelerating adoption of AI, particularly agentic AI, which management views as a new industrial revolution where "compute equals revenues." The company is successfully transitioning to a full-stack AI infrastructure provider, with strong demand across all segments, especially data center and networking. Management is highly confident and visionary, emphasizing rapid innovation (Blackwell, Rubin), strategic ecosystem investments, and the critical role of performance per watt in maximizing customer revenue. The tone was overwhelmingly bullish and optimistic about NVIDIA's long-term growth trajectory and its leadership in the evolving AI landscape. | Data Center: +66% y/y (accelerated in Q4). Networking: +162% y/y (accelerated in Q4, from 3.5x in Q3 to 3.5x+ in Q4). Gaming: +30% y/y (accelerated in Q4). Professional Visualization: +56% y/y (accelerated in Q4). Automotive: +32% y/y (decelerated in Q4). | 1. Sustainability of Hyperscaler CapEx: Analysts questioned whether the high level of cloud CapEx (approaching $700 billion) could continue to grow into the next year. Management Response: Jensen Huang expressed confidence in customers' cash flow growth, stating that in the new AI world, "compute is revenues" because agentic AI drives profitable token generation, making compute investment directly translate to revenue growth for cloud providers. 2. Role of Strategic Investments in the Ecosystem: Analysts inquired about the purpose and strategy behind NVIDIA's strategic investments in companies like Anthropic and OpenAI. Management Response: Jensen Huang clarified that these investments are "squarely, strategically on expanding and deepening our ecosystem reach" across the entire AI stack, ensuring all AI development (language, physical AI, robotics, etc.) is built on NVIDIA's CUDA platform. 3. Networking Business Growth and Strategy: Analysts pressed on the accelerating growth of networking revenue, particularly the Spectrum-X Ethernet platform, and its future run rate. Management Response: Jensen Huang explained that networking is an integral extension of NVIDIA's AI infrastructure, with NVLink having "turbocharged" the business. He highlighted Spectrum-X Ethernet as a "home run" due to its performance benefits (e.g., 10-20% effectiveness improvement) for AI factories, positioning NVIDIA to become the largest Ethernet networking company. | Total revenue: up 73% year-over-year. Data Center revenue: $62 billion, up 75% year-over-year. Networking revenue: $11 billion, up more than 3.5x (350%) year-over-year. Gaming revenue: $3.7 billion, up 47% year-on-year. Professional Visualization revenue: $1.3 billion, up 159% year-over-year. Automotive revenue: $604 million, up 6% year-over-year. |
· 2026Q3 Earnings Call
| 3 Things Management Is Most Focused On | Call Takeaway & Tone | Prior Quarter'S Y/Y Growth By Segment | 3 Things Analysts Most Pressed On (And Mgmt Responses) | Revenue Segments |
|---|---|---|---|---|
| 1. Blackwell and Rubin Product Cycles: Management is prioritizing the seamless transition to the Blackwell (GB300) architecture and the upcoming Rubin platform to maintain an annual x-factor performance lead. 2. Agentic and Physical AI: Shifting focus toward the next frontier of computing where AI models reason, plan, and interact with the physical world (robotics/digital twins). 3. Ecosystem and Strategic Offtake: Using the balance sheet to invest in 'once-in-a-generation' companies like OpenAI and Anthropic to secure long-term demand (offtake) and ensure CUDA remains the universal standard. | Takeaway: NVIDIA is successfully evolving from a component vendor into a full-stack AI infrastructure and systems company. The company is leveraging its dominant market position to lock in the software ecosystem through strategic investments and is betting heavily on 'Agentic AI' as the next major growth catalyst. Tone: Extremely confident and visionary; management dismissed 'bubble' concerns by pointing to concrete efficiency gains and the fundamental shift from general-purpose to accelerated computing. | Data Center: ~+56% y/y (Accelerated in Q3); Gaming: +49% y/y (Decelerated in Q3); Professional Visualization: +32% y/y (Accelerated in Q3); Automotive: +69% y/y (Decelerated in Q3). | 1. AI ROI and Sustainability: Analysts questioned the long-term viability of massive CapEx. Management responded that AI is already driving immediate revenue gains for hyperscalers through improved recommendation systems and that 'Agentic AI' represents a net-new revenue stream. 2. Gross Margin Sustainability: Analysts were concerned about rising input costs and the complexity of Blackwell systems. Management committed to holding margins in the mid-70s through cost optimization, improved cycle times, and favorable product mix. 3. Supply Chain and Power Constraints: Analysts asked about bottlenecks in power, land, and components. Management stated these are 'tractable' issues and that their long-term planning and 'co-design' approach with partners like TSMC provide a significant competitive advantage. | Data Center: +66% y/y ($51B); Networking: +162% y/y ($8.2B); Gaming: +30% y/y ($4.3B); Professional Visualization: +56% y/y ($760M); Automotive: +32% y/y ($592M). |
Transcript Tidbits
| About Expanding Eligible Market | About Competition | About The Broader Industry | Where Things Are Headed | Updates On Theme | Broader Themes Emerging | Bullish-Leaning Quotes (Short) | Bearish-Leaning Quotes (Short) | Hiring |
|---|---|---|---|---|---|---|---|---|
| NVIDIA is expanding its eligible market by capitalizing on inference demand across hyperscalers, model makers, AI cloud providers, and sovereign customers. The company has introduced a new reporting framework with two market platforms: Data Center (Hyperscale and ACIE including AI clouds, industrial, and enterprise) and Edge Computing (devices for agentic and physical AI like PCs, gaming consoles, workstations, AI RAN base stations, robotics, and automotive). NVIDIA AI infrastructure is now deployed across nearly 40 countries, representing $50 trillion in GDP. The new Vera CPU opens a brand new $200 billion TAM for NVIDIA, a market previously unaddressed. Physical AI is gaining momentum, exceeding $9 billion in revenue over the last 12 months, with partnerships like Uber for robotaxi fleets across nearly 30 cities and 4 continents by 2028. The ACIE segment (AI native clouds, enterprise, industrial, sovereign AI) is expected to grow faster than hyperscale over time, representing hundreds of thousands of companies with smaller installations. | NVIDIA's Spectrum-X Ethernet platform for AI is now larger than all Ethernet network peers combined. InfiniBand grew more than 4x year over year. The company swept every benchmark in MLPerf inference results, with Blackwell Ultra delivering the highest throughput. Vera CPU is projected to deliver up to 1.5x faster performance per core, 2x performance per watt, and 4x density per rack compared to x86-based alternatives. NVIDIA expects to become the world's leading CPU supplier with nearly $20 billion in CPU revenue this year. The company's annual product cadence is unmatched, and its share of frontier AI compute and models is increasing, especially with the addition of Anthropic as a strategic partner. VeraRubin is anticipated to be even more successful than Grace Blackwell, with every frontier model company expected to adopt it from the outset. NVIDIA is practically the only company serving physical AI today. | The industry is experiencing an inflection in inference demand and an acceleration in the build-out of AI factories. The value of NVIDIA AI infrastructure is rising, with H100 cloud pricing up 20% year-to-date and A100 cloud pricing up nearly 15%. AI is now a necessity for enhancing productivity across all industries and roles, propelling revenue acceleration across all layers of the AI stack, including energy, chips, infrastructure, models, and applications. Hyperscale CapEx is forecasted to exceed $1 trillion by 2027, and AI infrastructure spending is on track to reach $3 trillion to $4 trillion annually by the end of this decade. Agentic AI has arrived, enabling productive and valuable work, making tokens profitable and driving model makers to produce more. In the AI era, compute capacity directly translates to revenue and profits. The world is expected to transition from a billion human users to billions of agents, each potentially using tools like PCs. The future economics of AI will be measured by tokens per dollar or dollars per token. | NVIDIA is transitioning to a new reporting framework with two market platforms: Data Center (Hyperscale and ACIE) and Edge Computing. The company expects to commence production shipments of VeraRubin in the second half of this year, starting in Q3. VeraRubin is projected to deliver up to 35x higher inference throughput and up to 10x greater AI factory revenue compared with Blackwell. NVIDIA has visibility to nearly $20 billion in total CPU revenue this year, aiming to become the world's leading CPU supplier. The company's partnership with Uber will power robotaxi fleets across nearly 30 cities and 4 continents by 2028. Total revenue for the second quarter is expected to be $91 billion, plus or minus 2%. NVIDIA has full confidence in $1 trillion in Blackwell and Rubin revenue from 2025 through calendar 2027. Operating expenses for the full year are expected to grow in the upper forties year over year, driven by higher R&D and increased usage of AI tools. The ACIE segment and physical AI/robotics are expected to grow incredibly fast in the coming years. NVIDIA anticipates being supply constrained throughout the entire life of VeraRubin. | Intelligence | The proliferation of AI agents is a significant emerging theme, with the expectation that the world will eventually have billions of agents, each potentially using tools like PCs. This shift is also redefining the economics of computing, moving from 'dollars per core' to 'tokens per dollar' or 'dollars per token'. | Delivered an exceptional quarter. Total revenue of $82 billion was up 85% year over year. This marked our third consecutive quarter of year over year acceleration. Data center revenue of $75 billion was up 92% year over year. Blackwell architecture... marked the fastest product ramp ouour company's history. Spectrum-X... is now larger than all Ethernet network peers combined. AI cloud revenue that more than tripled year over year. Sovereign revenue increased more than 80% year over year. AI infrastructure spending is on track to reach $3 trillion to $4 trillion annually by the end of this decade. Our share of frontier AI compute is increasing. MLPerf inference results are in. And once again, we swept every benchmark. VeraCPU opens a brand new $200 billion TAM for NVIDIA. We have visibility to nearly $20 billion in total CPU revenue this year. Setting us up to become the world leading CPU supplier. VeraRubin will deliver up to 35x higher inference throughput. Total revenue is expected to be $91 billion. Giving us full confidence in $1 trillion in Blackwell and Rubin revenue. Demand has gone parabolic. Agentic AI has arrived. NVIDIA is the platform of this era. | consumer demand fell modestly due to higher memory and system prices. We have yet to generate any revenue [from H200 to China]. We are uncertain whether any imports will be allowed into the country. We are not immune to supply challenges. The LPX is designed for low latency and high token rate. Its throughput is low. |
| About Expanding Eligible Market | About Competition | About The Broader Industry | Where Things Are Headed | Updates On Theme | Broader Themes Emerging | Bullish-Leaning Quotes (Short) | Bearish-Leaning Quotes (Short) | Hiring |
|---|---|---|---|---|---|---|---|---|
| NVIDIA expects sequential revenue growth throughout calendar 2026, exceeding the previously shared $500 billion Blackwell and Rubin revenue opportunity. The data center business has scaled nearly 13x since ChatGPT emerged in fiscal 2023. Demand is broad and diverse, expanding beyond chatbots, driven by a platform shift from classical machine learning to generative AI, with strong ROI encouraging hyperscalers to accelerate capital spending. Sovereign AI business more than tripled year-over-year to over $30 billion, with expectations to grow in line with the AI infrastructure market. Physical AI contributed over $6 billion in fiscal year 2026, with robotaxi rides projected to scale to millions of vehicles over the next decade, creating a market worth hundreds of billions. New partnerships with Dassault Systemes, Siemens, and Synopsys aim to bring NVIDIA AI infrastructure to millions of researchers and engineers. The company sees the amount of computation necessary for AI as 1,000 times higher than classical computing, leading to a global need for token generation capacity far exceeding $700 billion. | NVIDIA was declared the 'Inference King' by SemiAnalysis, with GB300 NVL72 achieving up to 50x performance per watt and 35x lower cost per token compared to Hopper. The company's pace of innovation, fueled by a nearly $20 billion R&D budget and extreme co-design capabilities, aims to deliver 'X factor leaps' in performance per watt and extend leadership. The CUDA architecture is highlighted as more effective and efficient, delivering more performance per FLOP per watt than any other computing architecture. Competitors in China, bolstered by recent IPOs, are making progress and have the potential to disrupt the global AI industry long-term. NVIDIA continues to engage with the U.S. and China governments to advocate for America's ability to compete globally. NVIDIA is positioned as the only accelerated computing platform in every cloud, available through every computer maker, and at the edge, with 1.5 million AI models on Hugging Face running on CUDA. | The industry is undergoing a transition to accelerated computing and an infusion of AI across existing hyperscale workloads. Every data center is power-constrained, making performance per watt a critical architectural decision for maximizing AI factory revenue. A fundamental platform shift from classical machine learning to generative AI is occurring, with strong ROI evidence from hyperscalers upgrading traditional workloads. Frontier agentic systems have reached an inflection point, with adoption skyrocketing and profitable tokens driving extreme urgency to scale compute, as 'compute directly translates to intelligence and revenue growth.' Analyst expectations for 2026 CapEx across the top 5 cloud providers are approaching $700 billion. Every country is expected to build and operate its own AI infrastructure. Robotaxi rides are growing exponentially, projected to scale to millions of vehicles in the next decade, creating a multi-hundred-billion-dollar market. The new world of AI equates compute with revenues, as token generation is central to future software. | NVIDIA expects sequential revenue growth throughout calendar 2026, with inventory and supply commitments in place extending into calendar 2027. The company plans to deliver 'X factor leaps' in performance per watt each generation to extend its leadership. The Rubin platform, comprising six new chips, will train MOE models with 1/4 the GPUs and reduce inference token costs by up to 10x compared to Blackwell, with samples shipped and production on track for H2 2026. Every cloud model builder is expected to deploy Vera Rubin. Gaming is expected to face supply constraints in Q1 and beyond. Robotaxi fleets are projected to scale from thousands in 2025 to millions over the next decade. The company continues to advance robotics development and expand partnerships for industrial physical AI adoption. NVIDIA is confident that investment in compute capacity will continue to grow, driven by the agentic AI inflection and the upcoming physical AI inflection in manufacturing and robotics. | Intelligence | Space data centers are an emerging theme, with NVIDIA's Hopper GPU already in space for applications like high-resolution imaging and on-orbit processing to reduce data transmission back to Earth. | We delivered another outstanding quarter with record revenue, operating income and free cash flow. We expect sequential revenue growth throughout calendar 2026, exceeding what was included in the $500 billion Blackwell and Rubin revenue opportunity. SemiAnalysis declared NVIDIA, Inference King. NVIDIA produces the lowest cost per token and data centers running on NVIDIA generate the highest revenues. Our pace of innovation, particularly at our scale is unmatched. Networking... was a standout this quarter, generating $11 billion in revenue, up more than 3.5x year-over-year. Frontier agentic systems have reached an inflection point. Compute directly translates to intelligence and revenue growth. Analyst expectations for 2026 CapEx... are up nearly $120 billion since the start of the year and approaching $700 billion. Our sovereign AI business more than tripled year-over-year and over $30 billion. We expect every cloud model builder to deploy Vera Rubin. Physical AI is here having already contributed north of $6 billion in NVIDIA revenue in fiscal year 2026. Robotaxi rides are growing exponentially... creating a market poised to generate hundreds of billions of dollars of revenue. I am confident in their cash flow growing... In this new world of AI, compute is revenues. We're the only accelerated computing platform that is in every cloud. 1.5 million AI models on Hugging Face, all of it runs on NVIDIA CUDA. The amount of computation necessary is 1,000 times higher than the way we used to do computing. The next inflection beyond that is physical AI... that's a giant opportunity ahead. | While small amounts of H200 products for China-based customers were approved by the U.S. government, we have yet to generate any revenue. Our competitors in China bolstered by recent IPOs are making progress and have the potential to disrupt the structure of the global AI industry over the long term. Looking ahead... we expect supply constraints to be the headwind to Gaming in Q1 and beyond. The economics [of space data centers] are poor today. |
| About Expanding Eligible Market | About Competition | About The Broader Industry | Where Things Are Headed | Updates On Theme | Broader Themes Emerging | Bullish-Leaning Quotes (Short) | Bearish-Leaning Quotes (Short) | Hiring |
|---|---|---|---|---|---|---|---|---|
| NVDA highlighted a half-trillion-dollar visibility in Blackwell and Rubin revenue through calendar year 2026, and a $3–$4 trillion annual AI infrastructure build by the end of the decade, underpinned by continued demand for AI infrastructure (clouds sold out, expanding GPU install base, and enterprise adoption). The company also cited multiple large AI factory and infrastructure projects totaling 5 million GPUs, partnerships across major software platforms (e.g., Meta, Microsoft, SAP, Palantir), and growth in autonomous systems, digital twins, and industry-specific deployments (“XAI's Colossus two” data-center scale, Lilly's AI factory, etc.). | Competition concerns were not framed around specific peers, but NVIDIA acknowledged geopolitical and competitive pressures in China (e.g., “geopolitical issues and the increasingly competitive market in China” and at one point “we were disappointed in the current state, that prevents us from shipping more competitive data center compute products to China”). Management emphasized its unique stack advantages (one architecture that runs every AI model across cloud/on-prem/robotics), ongoing supply-chain planning, and the rapid pace of AI model and workload diversification as a competitive moat rather than relying on single product lines. | Industry-wide transition from CPU to GPU-accelerated computing, Generative AI replacing classical ML in hyperscalers' workloads, and the emergence of agentic AI across industries. Quotes highlighted hyperscalers' large CapEx in AI infrastructure, the move toward AI factories and digital twins, and broad ecosystem adoption (OpenAI, Anthropic, xAI, etc.), with emphasis on AI systems driving new demand for GPUs, NVLink/InfiniBand networks, and software ecosystems like CUDA and Omniverse. | The trajectory is toward three platform shifts—accelerated computing, generative AI, and agentic/physical AI—driving multi-year, multi-hundred-billion to trillion-dollar expansion in AI infrastructure. NVIDIA expects sustained demand, continued Rubin/Blackwell ramp, expanded collaborations across hyperscalers, sovereigns, and enterprises, and significant, steady advances in performance per watt that will broaden the total addressable market beyond current hyperscaler spending into industrial, robotics, and edge deployments. | Compute | 'Three massive platform shifts' are underway; 'One architecture' enables all transitions; 'Demand for AI infrastructure continues to exceed our expectations'; 'We are the only company with AI scale up scale out, and scale across platforms.' | 'Geopolitical issues and the increasingly competitive market in China' limited near-term upside; 'we were disappointed' that current conditions prevented shipping more competitive data center compute products to China. |
Earnings ResultsNVIDIA reported record total revenue of $68 billion, up 73% year-over-year, accelerating from Q3. This surpassed the guidance upper limit of $66.3 billion and a
| Metric | Prior Quarter | Rerating Trigger | Actual Reported | Hit Target? | Notes |
|---|---|---|---|---|---|
| Total Revenue | 62% | For NVIDIA Corporation (NVDA) to rerate higher, the Total Revenue metric needs to demonstrate continued acceleration and exceed high market expectations. Specifically, for Q4 FY26, Total Revenue should surpass NVIDIA's own guidance upper limit of $66.3 billion and ideally reach or exceed analyst estimates around $67.2 billion. More critically, the Q1 FY27 revenue guidance needs to be at or above $75 billion, significantly exceeding the current forecast of $71 billion to $72.7 billion. This would signal an accelerating revenue growth trajectory beyond the already strong 67-68% year-over-year growth expected for Q4 FY26. | $68 billion (73% y/y growth) | Yes | NVIDIA reported record total revenue of $68 billion, up 73% year-over-year, accelerating from Q3. This surpassed the guidance upper limit of $66.3 billion and analyst estimates around $67.2 billion. The company also provided Q1 FY27 revenue guidance of $78 billion (plus or minus 2%), which significantly exceeded the rerating target of at or above $75 billion. Management noted expectations for sequential revenue growth throughout calendar 2026, exceeding the previously shared $500 billion Blackwell and Rubin revenue opportunity. |
| Networking Revenue | 162% | For NVIDIA's stock to rerate higher, Networking Revenue needs to exceed $9.5 billion in the upcoming Q4 FY26 earnings report. This target is explicitly identified as a 'Bullish' signal in the company's key factors. This would also represent a significant beat over the current analyst consensus estimate of approximately $9.0 billion for Q4 FY26 Networking Revenue. While sequential growth below 20% is noted as a potential bearish signal, achieving the $9.5 billion mark is the primary quantitative threshold for a positive rerating. | $11 billion (more than 3.5x y/y growth) | Yes | Networking revenue was a standout, generating $11 billion, up more than 3.5x year-over-year. This significantly exceeded the rerating trigger of $9.5 billion. Both scale-up and scale-out technologies grew double digits sequentially. Jensen Huang stated that NVIDIA is likely the largest Ethernet networking company in the world today and will surely be soon, highlighting Spectrum-X Ethernet as a 'home run'. |
| Data Center Revenue | 66% | For NVIDIA Corporation (NVDA) to rerate higher, its Data Center Revenue needs to demonstrate year-over-year growth of 75% or higher in the upcoming Q4 FY26 report or provide guidance for such acceleration in Q1 FY27. This must be accompanied by a Blackwell (GB300) mix exceeding 75% of Blackwell revenue, networking revenue above $9.5 billion in Q4 FY26, and non-GAAP gross margins at or above 75%. Additionally, confirmation and potential upward revision of the $500 billion Blackwell and Rubin revenue visibility through calendar year 2026 would be crucial. | $62 billion (75% y/y growth) | Partially | Q4 data center revenue increased 75% year-over-year, meeting the growth target. Networking revenue was $11 billion, exceeding the $9.5 billion threshold. Non-GAAP gross margin was 75.2%, meeting the 'at or above 75%' target. Management also confirmed and revised upward the Blackwell and Rubin revenue visibility, expecting sequential revenue growth throughout calendar 2026 to exceed the $500 billion opportunity. However, Grace Blackwell systems accounted for 'roughly 2/3' (approximately 66.7%) of data center revenue, which did not exceed the 75% Blackwell (GB300) mix target. |
Notes
| Date | Comment | Comment Type | Comment Sentiment | Link | IS CHANGE | Price Reaction |
|---|---|---|---|---|---|---|
| 2025-08-27 | Q2 FY26 revenue $46.7B (+56% y/y) with strong Blackwell ramp and record networking; Gaming +49%, ProViz +32%, Auto +69%. China/H20 excluded from guide; inventory +$4B, OpEx growth accelerating. Q3 rev outlook $54B ±2%. Market reaction mixed on China risk and spending. | Earnings Transcript | Mixed | -4.18% (vs SPY: -4.16%) | ||
| 2026-05-20 | NVIDIA reported an extraordinary Q1 FY27 with revenue up 85% and data center up 92%, driven by Blackwell and new Vera CPUs. Despite a bullish outlook and $1T Blackwell/Rubin confidence, the stock fell 3.64% (t+2 days), underperforming SPY. The market likely priced in strong results, focusing on VeraRubin supply constraints, continued China revenue exclusion, and modest consumer edge demand decline. | Earnings Transcript | Negative | False | -3.64% (vs SPY: -4.90%) |
Upcoming Events
| Catalyst ID | Estimated Timing | Estimated Date Start | Estimated Date End | Catalyst | Why It Matters | Ticker Or Theme Specific | Transcript Date | Source Type |
|---|---|---|---|---|---|---|---|---|
| NVDA_37bbccd7 | second half of the year | 2026-07-01 | 2026-12-31 | Commencement of production shipments for NVIDIA's Vera Rubin platform. | The successful ramp and customer adoption of the Rubin platform are crucial for NVIDIA's continued revenue growth, competitive leadership, and gross margin sustainability, as it offers significant performance improvements over Blackwell. | Ticker | 2026-02-25 | earnings_transcript |
| NVDA_ce824b94 | Q1 and beyond | 2026-02-01 | 2026-12-31 | Resolution of supply constraints impacting NVIDIA's Gaming segment. | Persistent supply constraints could be a headwind to Gaming revenue growth in fiscal year 2027, potentially impacting overall revenue and investor sentiment for this segment. | Ticker | 2026-02-25 | earnings_transcript |
| NVDA_cd66c95e | we do not know whether any imports will be allowed into China | 2026-02-25 | 2027-01-31 | U.S. government decision on allowing imports of NVIDIA's H200 or other competitive data center compute products into China, or a change in NVIDIA's ability to generate revenue from China-based customers. | The inability to ship competitive products to China due to export controls and the lack of revenue from this market significantly limits NVIDIA's total addressable market and growth potential, while allowing local competitors to gain ground. | Ticker | 2026-02-25 | earnings_transcript |
| NVDA_0c6fe42a | believe we are close | 2026-02-25 | 2026-05-31 | Finalization of a partnership agreement between NVIDIA and OpenAI. | A definitive agreement would solidify NVIDIA's long-term demand floor, strengthen its ecosystem loyalty, and validate its full-stack AI infrastructure strategy with a leading frontier model builder. | Ticker | 2026-02-25 | earnings_transcript |
| NVDA_ef5dd8f2 | GTC next month | 2026-03-01 | 2026-03-31 | NVIDIA to share details at GTC regarding the integration of Grok's low latency inference technology into NVIDIA's architecture. | The specifics of how Grok's technology will extend NVIDIA's architecture could reveal new levels of AI infrastructure performance and value, potentially enhancing NVIDIA's inference leadership and competitive moat. | Ticker | 2026-02-25 | earnings_transcript |
| NVDA_91d7be67 | second half of this year starting in Q3 | 2026-07-01 | 2027-03-31 | Commencement of production shipments and subsequent ramp of NVIDIA's VeraRubin platform. | VeraRubin is expected to deliver significantly higher inference throughput and AI factory revenue compared to Blackwell, opening a new $200 billion TAM for NVIDIA. A successful ramp is bullish, while delays or production issues would be bearish. | Ticker | 2026-05-20 | earnings_transcript |
| NVDA_f142a069 | uncertain whether any imports will be allowed into the country. As a result, consistent with last quarter, we are not including any China data center compute revenue in our outlook. | 2026-06-01 | 2027-01-31 | US government allowing imports and NVIDIA generating revenue from H200 shipments to China-based customers. | Generating revenue from China would provide upside to NVIDIA's outlook, which currently excludes this market. Continued restrictions or lack of revenue would remain a bearish overhang. | Ticker | 2026-05-20 | earnings_transcript |
| NVDA_4bf2c864 | nearly $20 billion in total CPU revenue this year. | 2026-06-01 | 2026-12-31 | NVIDIA achieving its target of nearly $20 billion in standalone Vera CPU revenue for the current calendar year. | This represents NVIDIA's entry into a new $200 billion TAM for agentic AI. Achieving this target would be a strong bullish signal for its CPU strategy and market expansion. | Ticker | 2026-05-20 | earnings_transcript |
| NVDA_62d4dad4 | we expect supply constraints to be the headwind to Gaming in Q1 and beyond. | 2026-05-01 | 2027-01-31 | Resolution or significant easing of supply constraints impacting NVIDIA's Gaming segment. | Supply constraints are a headwind to Gaming revenue. Resolution would be bullish, allowing for higher sales, while persistence would continue to limit growth. | Ticker | 2026-05-20 | earnings_transcript |
| NVDA_bed7ea29 | For the full year, we are still expecting to be in the mid seventies. | 2026-02-01 | 2027-01-31 | NVIDIA reporting its full-year fiscal year 2027 non-GAAP gross margin. | Maintaining gross margins in the mid-70s is crucial for profitability given rising input costs and system complexity. Achieving this target would be bullish, while a miss would be bearish. | Ticker | 2026-05-20 | earnings_transcript |
| NVDA_706e5870 | analysts now forecasting hyperscale CapEx to exceed $1 trillion by 2027 | 2026-06-01 | 2027-12-31 | Hyperscalers' total capital expenditures exceeding $1 trillion by the end of 2027. | This is a key macro driver for NVIDIA's data center business. Achieving this level of spending would be highly bullish for NVIDIA's revenue trajectory, while a slowdown would be bearish. | Theme | 2026-05-20 | earnings_transcript |
| NVDA_71afbfda | AI infrastructure spending is on track to reach $3 trillion to $4 trillion annually by the end of this decade. | 2026-06-01 | 2029-12-31 | Global AI infrastructure spending reaching $3 trillion to $4 trillion annually by the end of the decade. | This represents the long-term market opportunity for NVIDIA. Progress towards this target would be highly bullish, indicating sustained demand for its AI platforms and validating the 'Intelligence Infrastructure Supercycle' theme. | Theme | 2026-05-20 | earnings_transcript |