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United States Oil Fund, LP: net income or loss

Net income or loss for United States Oil Fund, LP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All United States Oil Fund, LP financial histories

What this measure means

Reported profit or loss for the period. Check the filing for attribution, exceptional items and discontinued operations before comparing companies.

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

Selected filing history

Net income or loss in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31-64,657,517USD2026-02-2710-K · 0001104659-26-021501
2024-01-012024-12-31221,118,191USD2026-02-2710-K · 0001104659-26-021501
2023-01-012023-12-31-46,043,522USD2026-02-2710-K · 0001104659-26-021501
2022-01-012022-12-31785,240,277USD2025-02-2810-K · 0001410578-25-000228
2021-01-012021-12-311,602,274,244USD2024-02-2910-K · 0001410578-24-000108
2020-01-012020-12-31-1,905,181,579USD2023-02-2710-K · 0001410578-23-000163
2019-01-012019-12-31473,455,704USD2022-02-2510-K · 0001410578-22-000223
2018-01-012018-12-31-291,274,645USD2021-02-2610-K · 0001104659-21-029202
2017-01-012017-12-3178,972,397USD2020-02-2110-K · 0001104659-20-023944
2016-01-012016-12-31666,552,810USD2019-02-2510-K · 0001144204-19-009786
2015-01-012015-12-31-1,288,412,920USD2018-02-2810-K · 0001144204-18-011712
2014-01-012014-12-31-489,273,234USD2017-02-2410-K · 0001144204-17-010922
2013-01-012013-12-3173,967,556USD2016-02-2610-K · 0001144204-16-084495
2012-01-012012-12-31-131,522,392USD2015-03-0210-K · 0001144204-15-013258
2011-01-012011-12-31142,025,798USD2014-02-2810-K · 0001144204-14-012480
2010-01-012010-12-3158,601,474USD2013-02-2710-K · 0001193125-13-080231
2009-01-012009-12-31649,378,719USD2012-02-2910-K · 0001193125-12-088366
2008-01-012008-12-31-855,496,359USD2011-03-0110-K · 0001193125-11-051856

Related financial histories

Inspect the source

Entity
United States Oil Fund, LP / CIK 0001327068
Captured
2026-09-20T07:52:49.397Z
SEC response SHA-256
9d20d6bcd4ac5455b4142f8f64f3432e2d9473c308a746d25514e70043a7b4a4

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/0001327068.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"])))