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CONTINENTAL RESOURCES, INC: general and administrative expense

General and administrative expense for CONTINENTAL RESOURCES, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All CONTINENTAL RESOURCES, INC financial histories

What this measure means

General and administrative costs reported under this concept, separate from selling expense. Filers group overhead differently, so compare presentation before comparing companies.

Exact concept: us-gaap:GeneralAndAdministrativeExpense. 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 2008-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

General and administrative expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31280,747,000USD2026-02-2310-K · 0001193125-26-064403
2024-01-012024-12-31264,029,000USD2026-02-2310-K · 0001193125-26-064403
2023-01-012023-12-31279,306,000USD2026-02-2310-K · 0001193125-26-064403
2022-01-012022-12-31401,551,000USD2025-02-2410-K · 0000950170-25-025741
2021-01-012021-12-31233,628,000USD2024-02-2210-K · 0000950170-24-018868
2020-01-012020-12-31196,572,000USD2023-02-2210-K · 0000950170-23-003794
2019-01-012019-12-31195,302,000USD2022-02-1410-K · 0000732834-22-000006
2018-01-012018-12-31183,569,000USD2021-02-1610-K · 0000732834-21-000005
2017-01-012017-12-31191,706,000USD2020-02-2610-K · 0000732834-20-000003
2016-01-012016-12-31169,580,000USD2019-02-1910-K · 0000732834-19-000002
2015-01-012015-12-31189,846,000USD2018-02-2110-K · 0000732834-18-000003
2014-01-012014-12-31184,655,000USD2017-02-2210-K · 0000732834-17-000004
2013-01-012013-12-31144,379,000USD2016-02-2410-K · 0000732834-16-000018
2012-01-012012-12-31121,735,000USD2015-02-2410-K · 0000732834-15-000004
2011-01-012011-12-3172,817,000USD2014-02-2710-K · 0000732834-14-000003
2010-01-012010-12-3149,090,000USD2013-02-2810-K · 0001193125-13-080751
2009-01-012009-12-3141,094,000USD2012-02-2410-K · 0001193125-12-077054
2008-01-012008-12-3135,719,000USD2011-02-2510-K · 0001193125-11-046209

Related financial histories

Inspect the source

Entity
CONTINENTAL RESOURCES, INC / CIK 0000732834
Captured
2026-09-21T17:17:14.090Z
SEC response SHA-256
212ec8fb59c58ef641d4745a6e7fa153bf10d7e0c8a8dcf7ca6e52969868e68a

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/0000732834.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"])))