NVIDIA Corporation
NVDA NASDAQTechnology ★★★★★| Date | Fiscal Period | EPS Est. | EPS Actual | Revenue Est. | Revenue Actual |
|---|---|---|---|---|---|
| May 20, 2026 | -- | 1.76 | 1.87 | $78.42B | $81.62B |
| Feb 25, 2026 | -- | 1.54 | 1.62 | $66.13B | $68.13B |
| Nov 19, 2025 | -- | 1.26 | 1.30 | $54.96B | $57.01B |
| Aug 27, 2025 | -- | 1.01 | 1.05 | $46.05B | $46.74B |
| May 28, 2025 | -- | 0.74 | 0.81 | $43.33B | $44.06B |
| Feb 26, 2025 | -- | 0.85 | 0.89 | $38.1B | $39.33B |
| Nov 20, 2024 | -- | 0.75 | 0.81 | $33.17B | $35.1B |
| Aug 28, 2024 | -- | 0.65 | 0.68 | $28.78B | $30.04B |
| May 22, 2024 | -- | 0.56 | 0.61 | $24.59B | $26.04B |
| Feb 21, 2024 | -- | 0.46 | 0.52 | $20.24B | $22.1B |
| Nov 21, 2023 | -- | 0.34 | Above forecast↑0.40 | $16.29B | $18.12B |
| Aug 23, 2023 | -- | 0.21 | Above forecast↑0.27 | $11.22B | $13.51B |
| May 24, 2023 | -- | 0.09 | Above forecast↑0.11 | $6.52B | $7.19B |
| Feb 22, 2023 | -- | 0.08 | 0.09 | $6.01B | $6.05B |
| Nov 16, 2022 | -- | 0.07 | 0.06 | $5.78B | $5.93B |
Company and Business
NVIDIA Corporation (NVDA) is a leading designer of graphics processing units (GPUs) for the gaming, professional visualization, data center, and automotive markets. The company's core business revolves around its GPU technology, which has evolved from primarily rendering graphics to accelerating a wide range of computationally intensive tasks. NVIDIA operates through two main segments: Graphics and Compute & Networking. The Graphics segment includes GPUs for gaming and professional visualization, as well as related software and services. The Compute & Networking segment focuses on platforms for artificial intelligence (AI), data centers, and high-performance computing, encompassing data center GPUs, networking solutions, and the NVIDIA DRIVE platform for autonomous vehicles. NVIDIA's business model involves designing and selling chips, modules, and systems, along with developing proprietary software platforms like CUDA, which enables developers to leverage the power of its GPUs for various applications.
Industry Position and Competition
NVIDIA holds a dominant position in several key markets, particularly in high-end gaming GPUs and data center AI accelerators. Its CUDA platform has established a strong ecosystem, creating a significant barrier to entry for competitors in the AI and high-performance computing space. In the gaming GPU market, NVIDIA primarily competes with Advanced Micro Devices (AMD). In the data center and AI acceleration market, competition includes AMD with its Instinct line, Intel with its Habana Labs AI accelerators, and a growing number of custom AI chips developed by hyperscale cloud providers. The automotive segment sees competition from various established automotive suppliers and other chip designers. NVIDIA's competitive edge often stems from its continuous innovation in GPU architecture, software optimization, and strategic partnerships across industries.
Key Financial Metrics and Focus Areas
When reviewing NVIDIA's financial reports, investors typically focus on several key metrics. Revenue growth, particularly within the Data Center segment, is a critical indicator of the company's success in the burgeoning AI market. Gross margin is closely watched, as it reflects the profitability of its advanced chip designs and manufacturing efficiencies. Research and development (R&D) expenses are important, given the company's commitment to innovation and maintaining its technological lead. Inventory levels and capital expenditures (CapEx) can provide insights into supply chain management and future production capacity. Additionally, segment-specific revenue breakdowns (Gaming, Data Center, Professional Visualization, Automotive) offer a granular view of performance across its diverse markets. Commentary on design wins, product pipeline, and strategic collaborations also provides valuable context.
Cyclicality and Primary Risks
NVIDIA's performance can be influenced by several cyclical factors and risks. The gaming segment is subject to consumer spending trends, refresh cycles for new GPU generations, and the overall health of the PC market. The data center segment, while currently experiencing strong growth driven by AI adoption, could be affected by enterprise IT spending cycles, economic downturns, or a slowdown in hyperscale cloud buildouts. Geopolitical tensions, particularly concerning trade policies and access to key manufacturing capabilities, pose a significant risk. Supply chain disruptions, reliance on third-party foundries for chip manufacturing, and intense competition across its various markets are ongoing concerns. Furthermore, the rapid pace of technological change in AI and computing necessitates continuous investment in R&D, and failure to innovate could erode its competitive advantage. Regulatory scrutiny, especially regarding market dominance and potential anti-competitive practices, also represents a potential risk.
