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MURPHY OIL CORPORATION: investing cash flow

Investing cash flow for MURPHY OIL CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All MURPHY OIL CORPORATION 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 2007-01-01 to 2025-12-31. 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
2025-01-012025-12-31-1,028,926,000USD2026-02-2510-K · 0001628280-26-011709
2024-01-012024-12-31-908,164,000USD2026-02-2510-K · 0001628280-26-011709
2023-01-012023-12-31-998,680,000USD2026-02-2510-K · 0001628280-26-011709
2022-01-012022-12-31-1,109,471,000USD2025-02-2710-K · 0000717423-25-000006
2021-01-012021-12-31-417,710,000USD2024-02-2310-K · 0000717423-24-000008
2020-01-012020-12-31-859,020,000USD2023-02-2710-K · 0000717423-23-000015
2019-01-012019-12-31-2,536,204,000USD2022-02-2510-K · 0000717423-22-000019
2018-01-012018-12-31-1,804,740,000USD2021-02-2610-K · 0000717423-21-000014
2017-01-012017-12-31-732,357,000USD2020-02-2710-K · 0000717423-20-000008
2016-01-012016-12-31286,087,000USD2019-02-2810-K · 0000717423-19-000020
2013-01-012013-12-31-3,731,179,000USD2014-02-2810-K · 0001193125-14-077534
2012-01-012012-12-31-3,317,422,000USD2014-02-2810-K · 0001193125-14-077534
2011-01-012011-12-31-1,614,354,000USD2014-02-2810-K · 0001193125-14-077534
2010-12-312011-12-31-1,614,354,000USD2013-02-2810-K · 0001193125-13-082919
2009-12-312010-12-31-2,328,812,000USD2013-02-2810-K · 0001193125-13-082919
2009-01-012009-12-31-2,331,907,000USD2010-02-2610-K · 0001193125-10-042802
2008-12-312009-12-31-2,331,907,000USD2012-02-2810-K · 0001193125-12-084989
2008-01-012008-12-31-2,323,199,000USD2011-02-2810-K · 0001193125-11-049276
2007-01-012007-12-31-2,286,513,000USD2010-02-2610-K · 0001193125-10-042802

Related financial histories

Inspect the source

Entity
MURPHY OIL CORPORATION / CIK 0000717423
Captured
2026-09-19T14:59:08.217Z
SEC response SHA-256
e5c611c17a940467136153d82fb0fdf8e84ec0a9510d47c40fcaee254719a89f

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/0000717423.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"])))