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HESS CORPORATION: accumulated other comprehensive income or loss

Accumulated other comprehensive income or loss for HESS CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All HESS CORPORATION financial histories

What this measure means

Cumulative other comprehensive items after tax, such as translation and unrealized hedging or securities effects. These amounts have not passed through net income.

Exact concept: us-gaap:AccumulatedOtherComprehensiveIncomeLossNetOfTax. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2008-12-31 to 2024-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Accumulated other comprehensive income or loss in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2024-12-31-208,000,000USD2025-02-2710-K · 0001628280-25-008716
At date2023-12-31-134,000,000USD2025-02-2710-K · 0001628280-25-008716
At date2022-12-31-131,000,000USD2024-02-2610-K · 0001628280-24-006845
At date2021-12-31-406,000,000USD2023-02-2410-K · 0001628280-23-005059
At date2020-12-31-755,000,000USD2022-03-0110-K · 0001628280-22-004524
At date2019-12-31-699,000,000USD2021-03-0110-K · 0001628280-21-003531
At date2018-12-31-306,000,000USD2020-02-2010-K · 0001564590-20-005545
At date2017-12-31-686,000,000USD2019-02-2110-K · 0001564590-19-003671
At date2016-12-31-1,704,000,000USD2018-02-2110-K · 0001564590-18-002698
At date2015-12-31-1,664,000,000USD2017-02-2310-K · 0001564590-17-002225
At date2014-12-31-1,410,000,000USD2016-02-2610-K · 0001564590-16-013433
At date2013-12-31-338,000,000USD2015-02-2710-K · 0001564590-15-001040
At date2012-12-31-493,000,000USD2014-02-2810-K · 0001193125-14-077565
At date2011-12-31-1,067,000,000USD2013-02-2810-K · 0001193125-13-084779
At date2010-12-31-1,159,000,000USD2012-02-2710-K · 0001193125-12-081827
At date2009-12-31-1,675,000,000USD2011-02-2510-K · 0000950123-11-018415
At date2008-12-31-2,008,000,000USD2010-02-2610-K · 0000950123-10-018336

Related financial histories

Inspect the source

Entity
HESS CORPORATION / CIK 0000004447
Captured
2026-09-21T17:16:18.150Z
SEC response SHA-256
38b6da330d223bc3f6d5845ff81e989463fbe70e585922c3305606c031fa5513

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/0000004447.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"])))