Apple Inc.: total liabilities
Total liabilities for Apple Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All Apple Inc. 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 2008-09-27 to 2025-09-27. The SEC response was captured on 2026-09-19.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2025-09-27 | 285,508,000,000 | USD | 2025-10-31 | 10-K · 0000320193-25-000079 |
| At date | 2024-09-28 | 308,030,000,000 | USD | 2025-10-31 | 10-K · 0000320193-25-000079 |
| At date | 2023-09-30 | 290,437,000,000 | USD | 2024-11-01 | 10-K · 0000320193-24-000123 |
| At date | 2022-09-24 | 302,083,000,000 | USD | 2023-11-03 | 10-K · 0000320193-23-000106 |
| At date | 2021-09-25 | 287,912,000,000 | USD | 2022-10-28 | 10-K · 0000320193-22-000108 |
| At date | 2020-09-26 | 258,549,000,000 | USD | 2021-10-29 | 10-K · 0000320193-21-000105 |
| At date | 2019-09-28 | 248,028,000,000 | USD | 2020-10-30 | 10-K · 0000320193-20-000096 |
| At date | 2018-09-29 | 258,578,000,000 | USD | 2019-10-31 | 10-K · 0000320193-19-000119 |
| At date | 2017-09-30 | 241,272,000,000 | USD | 2018-11-05 | 10-K · 0000320193-18-000145 |
| At date | 2016-09-24 | 193,437,000,000 | USD | 2017-11-03 | 10-K · 0000320193-17-000070 |
| At date | 2015-09-26 | 170,990,000,000 | USD | 2016-10-26 | 10-K · 0001628280-16-020309 |
| At date | 2014-09-27 | 120,292,000,000 | USD | 2015-10-28 | 10-K · 0001193125-15-356351 |
| At date | 2013-09-28 | 83,451,000,000 | USD | 2014-10-27 | 10-K · 0001193125-14-383437 |
| At date | 2012-09-29 | 57,854,000,000 | USD | 2013-10-30 | 10-K · 0001193125-13-416534 |
| At date | 2011-09-24 | 39,756,000,000 | USD | 2012-10-31 | 10-K · 0001193125-12-444068 |
| At date | 2010-09-25 | 27,392,000,000 | USD | 2011-10-26 | 10-K · 0001193125-11-282113 |
| At date | 2009-09-26 | 15,861,000,000 | USD | 2010-10-27 | 10-K · 0001193125-10-238044 |
| At date | 2008-09-27 | 13,874,000,000 | USD | 2010-01-25 | 10-K/A · 0001193125-10-012091 |
Related financial histories
Inspect the source
- Entity
- Apple Inc. / CIK 0000320193
- Captured
- 2026-09-19T09:30:25.021Z
- SEC response SHA-256
73a86c6aedc31f77cac2ea4df5f80f0b3bd7e6eb58bb4e01444fbedf3afb9c43
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/0000320193.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"])))