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JACOBS SOLUTIONS INC.: investing cash flow

Investing cash flow for JACOBS SOLUTIONS INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All JACOBS SOLUTIONS INC. financial histories

What this measure means

Net cash from investing activities, including asset purchases, disposals and investment transactions. This differs from capital expenditure payments alone.

Exact concept: us-gaap:NetCashProvidedByUsedInInvestingActivities. 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 2025-09-26. The SEC response was captured on 2026-09-19.

Selected filing history

Investing cash flow in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-09-282025-09-26-75,291,000USD2025-11-2010-K · 0001628280-25-053316
2023-09-302024-09-27-127,190,000USD2025-11-2010-K · 0001628280-25-053316
2022-10-012023-09-29-145,663,000USD2025-11-2010-K · 0001628280-25-053316
2021-10-022022-09-30-538,419,000USD2024-11-2510-K · 0000052988-24-000065
2020-10-032021-10-01-1,380,743,000USD2023-11-2110-K · 0000052988-23-000084
2019-09-282020-10-02-429,092,000USD2022-11-2110-K · 0000052988-22-000111
2018-09-292019-09-272,152,349,000USD2021-11-2310-K · 0000052988-21-000065
2017-09-302018-09-28-1,577,607,000USD2020-11-2410-K · 0000052988-20-000070
2016-10-012017-09-29-236,198,000USD2019-11-2510-K · 0000052988-19-000069
2015-10-032016-09-30-139,621,000USD2018-11-2110-K · 0000052988-18-000036
2014-09-272015-10-02-96,123,000USD2015-11-2410-K · 0000052988-15-000155
2013-09-282014-09-26-1,518,782,000USD2015-11-2410-K · 0000052988-15-000155
2012-09-292013-09-27-157,083,000USD2015-11-2410-K · 0000052988-15-000155
2011-10-012012-09-28-181,127,000USD2014-11-2410-K · 0000052988-14-000173
2010-10-022011-09-30-801,836,000USD2013-11-2210-K · 0000052988-13-000140
2009-10-032010-10-01-398,486,000USD2012-11-2010-K · 0000052988-12-000086
2008-09-272009-10-02-93,106,000USD2011-11-2110-K · 0001193125-11-318681
2007-09-292008-09-26-409,910,000USD2010-11-2310-K · 0001193125-10-267422
2006-10-012007-09-28-165,796,000USD2009-11-2010-K · 0001193125-09-239188

Related financial histories

Inspect the source

Entity
JACOBS SOLUTIONS INC. / CIK 0000052988
Captured
2026-09-19T14:48:22.507Z
SEC response SHA-256
de8c69f98fd5a68a912ec3d765f1f4d086bb0e5ca1ebc9fef2b80358c9b28343

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.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000052988.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"])))