NVIDIA Company Profile

Filing-based Form 10-K metrics, trend charts, and company profile notes for NVIDIA within the AI Infrastructure Economics module.

This company profile maps public filing metrics, operating context, and infrastructure exposure within CM Terminal’s personal analytical framework.

Filing-based profileIssuer-level evidence

Company profile

Company Profile: NVIDIA

Issuer-level NVIDIA metrics derived from Form 10-K disclosures within the AI Infrastructure Economics project.

Built from Form 10-K filings using the CM Terminal Analytics methodology.

FY2026 highlights

Revenue

$215,938M

Gross Margin

71.10%

Operating Margin

60.38%

R&D Intensity

CapEx Intensity

Five-year view

Fiscal YearPeriod EndedRevenueGross MarginOperating MarginR&D IntensityCapEx IntensityDataset row
20212021-01-31$16,675M62.34%27.18%23.53%6.76%Filing row
20222022-01-30$26,914M64.93%37.31%19.57%3.63%Filing row
20232023-01-29$26,974M56.93%15.66%27.21%6.80%Filing row
20242024-01-28$60,922M72.72%54.12%14.24%1.75%Filing row
20252025-01-26$130,497M74.99%62.42%9.90%2.48%Filing row
20262026-01-26$215,938M71.10%60.38%Filing row

Source: NVIDIA Form 10-K filings.

CapEx definition: Capital expenditure uses NVIDIA cash flow statement line item "Purchases related to property and equipment and intangible assets."

Unit: All raw financial figures are stored in USD millions.

Dataset note: The Dataset row column records the label attached to each filing-backed row in the project dataset. Definitions appear in Analytics Methodology & Data Policy.

NVDA Revenue Trend

Fiscal-year revenue from NVIDIA Form 10-K figures.

Source: issuer filings; methodology documented separately.

Source: NVIDIA Form 10-K filings. Amounts stored in USD millions.

NVDA Margin Trend

Gross margin and operating margin from NVIDIA Form 10-K figures.

Source: issuer filings; methodology documented separately.

Source: NVIDIA Form 10-K filings. Ratios calculated from stored USD millions figures.

NVDA Reinvestment Intensity Trend

R&D intensity and CapEx intensity calculated from NVIDIA Form 10-K figures.

Source: issuer filings; methodology documented separately.

Source: NVIDIA Form 10-K filings. Ratios calculated from stored USD millions figures.

R&D intensity = R&D expense / revenue. CapEx intensity = capital expenditure / revenue.

What the filing data suggests

What NVIDIA contributes to the AI Infrastructure Economics comparison as a compute platform profile.

Main analytical tension

Margin-related signal vs supply-chain dependency

NVIDIA has one of the more visible margin-related patterns I observed in the current evidence set, but the profile should still be read against its dependence on external manufacturing capacity, advanced packaging, memory supply, and hyperscaler procurement cycles.

Revenue acceleration

Data basis

Revenue increased from $26,974M in FY2023 to $215,938M in FY2026.

Interpretation

The AI infrastructure cycle is visible in reported top-line expansion, not just in market narrative.

Operating leverage

Data basis

Operating margin rose from 15.66% in FY2023 to 60.38% in FY2026.

Interpretation

The revenue expansion translated into substantial operating leverage as fixed and semi-fixed costs were spread over a much larger revenue base.

R&D intensity dilution

Data basis

R&D intensity for FY2023 or FY2026 is missing in the dataset rows.

Interpretation

R&D expense continued to grow in absolute terms, but revenue scaled faster than R&D spending.

Low CapEx intensity

Data basis

CapEx intensity for FY2026 is pending from the full Form 10-K filing.

Interpretation

This reflects NVIDIA’s relatively asset-light fabless model and sets up a useful contrast with manufacturing-heavy AI infrastructure companies.

This profile is descriptive issuer-level analysis. Methodology and non-advisory boundaries are documented in Analytics Methodology & Data Policy.

Analytical difficulty

What this profile helps me examine

NVIDIA is one of the more visible margin-related signals I observed in this issuer-level comparison because Data Center growth, operating leverage, and low direct CapEx intensity align more visibly than in other businesses—still not pure AI revenue at issuer level.

What this profile does not isolate

Even NVIDIA does not disclose pure AI revenue. Company-level metrics still include Gaming, Professional Visualization, Automotive, OEM and other, and Data Center itself can include non-AI workloads.

Main unresolved bridge

The unresolved bridge is the split between compute, networking, and non-AI Data Center uses.

Reference

Source & Methodology

How the NVIDIA profile data is sourced, stored, and interpreted.

Official sources

Primary inputs are NVIDIA annual reports filed as Form 10-K. Links below use the filing URLs stored in the project metadata; fiscal-year rows map to the filing set noted for each slice.

At least one row's filing note references cross-checking FY2023 against another Form 10-K in the chain; see the underlying source note text in the dataset for that fiscal year.

Source notes

Income statement data comes from Consolidated Statements of Income. Capital expenditure uses the cash flow statement line item "Purchases related to property and equipment and intangible assets." Amounts are stored in USD millions—aligned with the recurring language in the filing notes, without restating row-level figures here.

Fiscal-year treatment

The fiscalYear field uses NVIDIA's reported fiscal-year label (for example FY2025), not a calendar-year convention.

When periodEnded is present on a row, it records the fiscal period end date for that fiscal year as stated in the filing trail for that row.

Metric construction

Raw metrics stored per fiscal year include revenue, grossProfit, operatingIncome, rdExpense, capitalExpenditure.

Derived metrics include revenueGrowth, grossMargin, operatingMargin, rdIntensity, capexIntensity. These ratios are calculated from the stored raw figures for the same row.

CapEx definition

Capital expenditure uses NVIDIA's cash flow statement line item "Purchases related to property and equipment and intangible assets."

Dataset boundary

These rows are filing-based dataset records used for issuer-level analytics. Source rules, metric definitions, review terminology, and non-advisory boundaries are documented in Analytics Methodology & Data Policy.