# NVIDIA Corp. (NVDA)

> NVIDIA designs computing chips, data-center systems, networking equipment, and software.

- Exchange: Nasdaq · Sector: Technology · Industry: Semiconductors
- Headquarters: Santa Clara, California
- Founded: 1993
- Employees: Approximately 42,000 (fiscal year 2026-end)
- SEC CIK: 0001045810 ([filings on EDGAR](https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0001045810))
- Full page: https://inspectstocks.com/stocks/nvda
- Data as of: price 2026-09-25; newest filing used 2026-08-26; latest fiscal period ended 2026-07-26

## Grade

**A+** on the growth-and-cash rubric, 5 of 5 checks passed.

| Check | Result | Now | Before |
| --- | --- | --- | --- |
| Revenue growing overall | passed | $303B | $32.7B |
| Revenue growing recently | passed | $303B | $215.9B |
| Free cash flow positive | passed | $127B |  |
| Free cash flow growing overall | passed | $127B | $3.8B |
| Free cash flow growing recently | passed | $127B | $96.7B |

Business quality (the + / − mark): 6 of 6 checks passed.

| Check | Result | Now | Before |
| --- | --- | --- | --- |
| Profitable | passed | 63.7% |  |
| Healthy profit margin | passed | 63.7% |  |
| Strong operating margin | passed | 65.2% |  |
| Good return on equity | passed | 122.6% |  |
| Debt under control | passed | 0.07 |  |
| Turns sales into cash | passed | 41.9% |  |

How the grade works: the letter counts failed checks (none → A, one → B, two → C, three → D, four or more → F). It is built from SEC filings only — the share price never enters it — and describes the business, not whether the stock is worth buying.

## Key figures

In US dollars, as filed.

| Measure | Value |
| --- | --- |
| Revenue, trailing twelve months | $303B |
| Net income, trailing twelve months | $192.9B |
| Free cash flow, trailing twelve months | $127B |
| Net margin | 63.7% |
| Operating margin | 65.2% |
| Return on equity | 122.6% |
| Debt to equity | 0.07 |
| Diluted EPS, trailing twelve months | $7.91 |
| Share price | $225.07 |
| Market value | $5.42T |
| Price / earnings | 28.5x |
| Price / sales | 17.9x |

## What the business does

NVIDIA makes graphics processing units (GPUs) and related systems and software for artificial intelligence (AI), data centers, games, professional design, and cars. Its data-center systems combine GPUs with other processors, networking equipment, and software to train and run AI programs and other computing workloads. On its latest earnings call, management described AI inference—using a trained model to produce answers—as adding to demand alongside model training.

### How it makes money

- **Compute & Networking: data-center computing, networking, AI software, and automotive products** (91.8% of revenue (three months ended July 26, 2026)) — Customers and sales partners buy chips, complete data-center systems, networking products, and software licenses; products also reach end users through cloud providers and other intermediaries.
- **Graphics: gaming and professional workstation graphics** (8.2% of revenue (three months ended July 26, 2026)) — Customers buy GeForce graphics products for gaming and personal computers, and RTX workstation graphics products through NVIDIA's sales partners.

### Products

- **Data-center accelerated computing systems** — Systems that combine GPUs, central processing units (CPUs), networking equipment, and software to run AI, data processing, scientific computing, and other demanding workloads.
- **NVIDIA AI Enterprise** — Paid enterprise software for developing and running AI applications, including tools for adapting and deploying AI models.
- **GeForce RTX GPUs** — Graphics chips for desktop and laptop computers used for video games, image creation, and some AI tasks.
- **GeForce NOW** — A cloud gaming service that lets people play supported games streamed over the internet.
- **NVIDIA RTX workstation GPUs** — Graphics chips used by professionals working on design, engineering, and digital content such as visual effects.
- **NVIDIA DRIVE** — Automotive computing hardware and software for developing and running driver-assistance and autonomous-driving features.

### Customers

- Cloud service providers and large data-center operators buy directly or through equipment makers and use NVIDIA systems to provide computing services.
- AI model developers buy or rent computing capacity, often through cloud providers, to train and run AI models.
- Original equipment manufacturers, original design manufacturers, distributors, and system integrators buy products or assemble them into equipment for other customers.
- Businesses, startups, research organizations, and public-sector buyers use NVIDIA computing for AI, data processing, science, and other workloads.
- Gamers, streamers, and creators buy computers containing GeForce graphics products, often through computer makers or retailers.
- Automakers and automotive suppliers work with NVIDIA on in-car computing and driver-assistance or autonomous-driving systems.

### Competitors

- Advanced Micro Devices (AMD) — Graphics chips, data-center computing, and networking products.
- Intel (INTC) — Processors and graphics products for data centers, personal computers, and cars.
- Broadcom (AVGO) — Custom computing chips and networking equipment used in data centers.
- Qualcomm (QCOM) — Processors and software for cars and other embedded computing devices.
- Arista Networks (ANET) — Networking equipment used to connect computers in data centers.
- Amazon Web Services (AMZN) — Amazon division that designs its own data-center chips and computing services that can be alternatives to NVIDIA products.

### What it depends on

- NVIDIA designs products but relies on outside companies for semiconductor fabrication, memory, packaging, assembly, and testing; its filings describe much of its supply chain as concentrated in Asia.
- Its products depend on software support, including its CUDA development tools and applications built by outside developers and partners.
- Many data-center customers need suitable land, power, buildings, and funding before they can install NVIDIA systems; the latest quarterly report says shortages or delays in these resources could postpone deployments.

### What could go wrong

- Export controls and other government restrictions have limited sales of certain products to China; the company reported that it was effectively unable to compete in China's data-center computing market at the end of fiscal year 2026.
- A limited number of direct and indirect customers account for a significant amount of revenue, so changes in purchases by major customers or their cloud users could affect sales.
- NVIDIA relies on outside manufacturers and suppliers and makes long-term supply commitments; production delays, limited capacity, or inaccurate demand estimates can leave it short of products or with excess inventory.

## More on this company

- [Overview](https://inspectstocks.com/stocks/nvda)
- [Financial statements](https://inspectstocks.com/stocks/nvda/financials)
- [Competitors](https://inspectstocks.com/stocks/nvda/peers)
- [Earnings](https://inspectstocks.com/stocks/nvda/earnings)

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Source: InspectStocks, built from the company’s own SEC filings. This describes a business — it is not investment advice and not a recommendation to buy or sell anything.