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EXPAND ENERGY Corp: revenue

Revenue for EXPAND ENERGY Corp. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All EXPAND ENERGY Corp financial histories

What this measure means

Revenue under this specific accounting concept. A missing value is not zero; filers can use other revenue concepts.

Exact concept: us-gaap:Revenues. 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 2026-09-20.

Selected filing history

Revenue in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-3112,124,000,000USD2026-02-1810-K · 0000895126-26-000011
2024-01-012024-12-314,235,000,000USD2026-02-1810-K · 0000895126-26-000011
2023-01-012023-12-318,721,000,000USD2026-02-1810-K · 0000895126-26-000011
2022-01-012022-12-3111,743,000,000USD2025-02-2610-K · 0000895126-25-000021
2021-02-102021-12-315,549,000,000USD2024-02-2110-K · 0000895126-24-000013
2020-01-012020-12-315,240,000,000USD2023-02-2210-K · 0000895126-23-000022
2019-01-012019-12-318,532,000,000USD2022-02-2410-K · 0000895126-22-000029
2018-01-012018-12-3110,030,000,000USD2021-03-0110-K · 0000895126-21-000078
2017-01-012017-12-3110,039,000,000USD2020-02-2710-K · 0000895126-20-000061
2016-01-012016-12-317,872,000,000USD2019-02-2710-K · 0000895126-19-000070
2015-01-012015-12-3112,764,000,000USD2018-02-2210-K · 0000895126-18-000060
2014-01-012014-12-3123,125,000,000USD2017-03-0310-K · 0000895126-17-000068
2013-01-012013-12-3119,080,000,000USD2016-02-2510-K · 0000895126-16-000395
2012-01-012012-12-3112,316,000,000USD2015-02-2710-K · 0000895126-15-000076
2011-01-012011-12-3111,635,000,000USD2014-02-2710-K · 0000895126-14-000104
2010-12-312011-12-3111,635,000,000USD2013-03-0110-K · 0000895126-13-000076
2010-01-012010-12-319,366,000,000USD2012-02-2910-K · 0001193125-12-089591
2009-12-312010-12-319,366,000,000USD2013-03-0110-K · 0000895126-13-000076
2009-01-012009-12-317,702,000,000USD2012-02-2910-K · 0001193125-12-089591
2008-01-012008-12-3111,629,000,000USD2011-03-0110-K · 0001193125-11-052349
2007-01-012007-12-317,800,000,000USD2010-03-0110-K · 0001193125-10-044784

Related financial histories

Inspect the source

Entity
EXPAND ENERGY Corp / CIK 0000895126
Captured
2026-09-20T05:04:16.309Z
SEC response SHA-256
62e5f581d89e0d012c848e345e7edcd76ac99fb53587d9851d2fef9977b521ec

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/0000895126.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"])))