NVIDIA CORP: total liabilities
Total liabilities for NVIDIA CORP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All NVIDIA CORP financial histories
What this measure means
Recognized obligations at the reporting date. The definition and scope differ from interest-bearing debt.
Exact concept: us-gaap:Liabilities. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.
Coverage of this history
Selected reporting periods run from 2015-01-25 to 2026-01-25. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2026-01-25 | 49,510,000,000 | USD | 2026-02-25 | 10-K · 0001045810-26-000021 |
| At date | 2025-01-26 | 32,274,000,000 | USD | 2026-02-25 | 10-K · 0001045810-26-000021 |
| At date | 2024-01-28 | 22,750,000,000 | USD | 2025-02-26 | 10-K · 0001045810-25-000023 |
| At date | 2023-01-29 | 19,081,000,000 | USD | 2024-02-21 | 10-K · 0001045810-24-000029 |
| At date | 2022-01-30 | 17,575,000,000 | USD | 2023-02-24 | 10-K · 0001045810-23-000017 |
| At date | 2021-01-31 | 11,898,000,000 | USD | 2022-03-18 | 10-K · 0001045810-22-000036 |
| At date | 2020-01-26 | 5,111,000,000 | USD | 2021-02-26 | 10-K · 0001045810-21-000010 |
| At date | 2019-01-27 | 3,950,000,000 | USD | 2020-02-20 | 10-K · 0001045810-20-000010 |
| At date | 2018-01-28 | 3,770,000,000 | USD | 2019-02-21 | 10-K · 0001045810-19-000023 |
| At date | 2017-01-29 | 4,048,000,000 | USD | 2018-02-28 | 10-K · 0001045810-18-000010 |
| At date | 2016-01-31 | 2,814,000,000 | USD | 2017-03-01 | 10-K · 0001045810-17-000027 |
| At date | 2015-01-25 | 2,783,000,000 | USD | 2016-03-17 | 10-K · 0001045810-16-000205 |
Related financial histories
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.
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
Read the published dataset with Python
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"])))