Apple Inc.: operating cash flow
Operating cash flow 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
Cash generated or used by operating activities. Working-capital timing can make this differ substantially from reported income.
Exact concept: us-gaap:NetCashProvidedByUsedInOperatingActivities. 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 2006-10-01 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 |
|---|---|---|---|---|---|
| 2024-09-29 | 2025-09-27 | 111,482,000,000 | USD | 2025-10-31 | 10-K · 0000320193-25-000079 |
| 2023-10-01 | 2024-09-28 | 118,254,000,000 | USD | 2025-10-31 | 10-K · 0000320193-25-000079 |
| 2022-09-25 | 2023-09-30 | 110,543,000,000 | USD | 2025-10-31 | 10-K · 0000320193-25-000079 |
| 2021-09-26 | 2022-09-24 | 122,151,000,000 | USD | 2024-11-01 | 10-K · 0000320193-24-000123 |
| 2020-09-27 | 2021-09-25 | 104,038,000,000 | USD | 2023-11-03 | 10-K · 0000320193-23-000106 |
| 2019-09-29 | 2020-09-26 | 80,674,000,000 | USD | 2022-10-28 | 10-K · 0000320193-22-000108 |
| 2018-09-30 | 2019-09-28 | 69,391,000,000 | USD | 2021-10-29 | 10-K · 0000320193-21-000105 |
| 2017-10-01 | 2018-09-29 | 77,434,000,000 | USD | 2020-10-30 | 10-K · 0000320193-20-000096 |
| 2016-09-25 | 2017-09-30 | 64,225,000,000 | USD | 2019-10-31 | 10-K · 0000320193-19-000119 |
| 2015-09-27 | 2016-09-24 | 66,231,000,000 | USD | 2018-11-05 | 10-K · 0000320193-18-000145 |
| 2014-09-28 | 2015-09-26 | 81,266,000,000 | USD | 2017-11-03 | 10-K · 0000320193-17-000070 |
| 2012-09-30 | 2013-09-28 | 53,666,000,000 | USD | 2013-10-30 | 10-K · 0001193125-13-416534 |
| 2011-09-25 | 2012-09-29 | 50,856,000,000 | USD | 2013-10-30 | 10-K · 0001193125-13-416534 |
| 2010-09-26 | 2011-09-24 | 37,529,000,000 | USD | 2013-10-30 | 10-K · 0001193125-13-416534 |
| 2009-09-27 | 2010-09-25 | 18,595,000,000 | USD | 2012-10-31 | 10-K · 0001193125-12-444068 |
| 2008-09-28 | 2009-09-26 | 10,159,000,000 | USD | 2011-10-26 | 10-K · 0001193125-11-282113 |
| 2007-09-30 | 2008-09-27 | 9,596,000,000 | USD | 2010-10-27 | 10-K · 0001193125-10-238044 |
| 2006-10-01 | 2007-09-29 | 5,470,000,000 | 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"])))