NVIDIA CORP: research and development expense

What this measure means

Research and development costs recognized as expense. Capitalization policies and acquired projects can make this differ from total cash invested in development.

Exact concept: us-gaap:ResearchAndDevelopmentExpense. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2007-01-29 to 2026-01-25. The SEC response was captured on 2026-09-19.

Selected filing history

Related financial histories

• NVIDIA CORP: total assets
• NVIDIA CORP: total liabilities
• NVIDIA CORP: stockholders equity
• NVIDIA CORP: cash and cash equivalents
• NVIDIA CORP: net income or loss
• NVIDIA CORP: operating cash flow
• NVIDIA CORP: capital expenditure payments
• NVIDIA CORP: revenue
• NVIDIA CORP: contract revenue excluding tax
• NVIDIA CORP: financing cash flow
• NVIDIA CORP: investing cash flow
• NVIDIA CORP: retained earnings or deficit
• NVIDIA CORP: basic weighted-average shares
• NVIDIA CORP: diluted weighted-average shares
• NVIDIA CORP: basic earnings per share
• NVIDIA CORP: diluted earnings per share
• NVIDIA CORP: income tax expense or benefit
• NVIDIA CORP: net property, plant and equipment
• NVIDIA CORP: share-based compensation expense
• NVIDIA CORP: operating income or loss
• NVIDIA CORP: current assets
• NVIDIA CORP: interest expense
• NVIDIA CORP: current liabilities
• NVIDIA CORP: current accounts payable
• NVIDIA CORP: goodwill carrying amount
• NVIDIA CORP: net finite-lived intangible assets
• NVIDIA CORP: net current accounts receivable
• NVIDIA CORP: common-stock repurchase payments
• NVIDIA CORP: operating expenses
• NVIDIA CORP: net inventory
• NVIDIA CORP: gross profit
• NVIDIA CORP: cost of revenue
• NVIDIA CORP: selling, general and administrative expense

Inspect the source

Entity

NVIDIA CORP / CIK 0001045810

Captured

2026-09-19T09:30:27.102Z

SEC response SHA-256

19ef503a5770f5660964b3c3aea6937579d9b359da344afe6a9adf59c63d26ff

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.

Use this in research

A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.

These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

• Get an API key and run your first validation
• Connect the MCP server to your coding assistant
• Inspect the ALPHAC engine on GitHub
• Read the MCP server source and integration examples

import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001045810.json") as response:
    record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
    print(concept["tag"], next(iter(concept["observations"])))