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United States Natural Gas Fund, LP: cash and cash equivalents

Cash and cash equivalents for United States Natural Gas Fund, LP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All United States Natural Gas Fund, LP financial histories

What this measure means

Cash and qualifying short-term liquid investments under the filer’s accounting policy. Restricted cash and longer-term investments may be reported separately.

Exact concept: us-gaap:CashAndCashEquivalentsAtCarryingValue. 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 2007-12-31 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Cash and cash equivalents in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-12-31438,463,080USD2026-02-2710-K · 0001104659-26-021507
At date2024-12-31593,538,786USD2026-02-2710-K · 0001104659-26-021507
At date2023-12-31678,015,896USD2026-02-2710-K · 0001104659-26-021507
At date2022-12-31317,868,749USD2025-02-2810-K · 0001410578-25-000230
At date2021-12-31248,404,703USD2024-02-2910-K · 0001410578-24-000105
At date2020-12-31342,942,967USD2023-02-2710-K · 0001410578-23-000179
At date2019-12-31375,588,135USD2022-02-2510-K · 0001410578-22-000219
At date2018-12-31259,491,732USD2021-02-2610-K · 0001104659-21-029200
At date2017-12-31550,936,887USD2020-03-1310-K · 0001104659-20-032888
At date2016-12-31522,819,857USD2019-03-1310-K · 0001144204-19-013632
At date2015-12-31453,830,484USD2018-02-2810-K · 0001144204-18-011710
At date2014-12-31589,867,333USD2018-02-2810-K · 0001144204-18-011710
At date2013-12-31792,445,608USD2017-02-2410-K · 0001144204-17-010914
At date2012-12-311,100,510,722USD2016-02-2610-K · 0001144204-16-084496
At date2011-12-31938,678,961USD2015-03-0210-K · 0001144204-15-013244
At date2010-12-312,320,745,778USD2014-02-2810-K · 0001144204-14-012472
At date2009-12-313,896,493,193USD2013-02-2710-K · 0001193125-13-080269
At date2008-12-31419,929,831USD2012-02-2910-K · 0001193125-12-088326
At date2007-12-31488,067,199USD2011-03-0110-K · 0001193125-11-051895

Related financial histories

Inspect the source

Entity
United States Natural Gas Fund, LP / CIK 0001376227
Captured
2026-09-20T07:57:31.631Z
SEC response SHA-256
ad0b7ec5fbc748788b551b98accf2b7b053405c51fdbd57b65af0ddaba0cc3b6

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/0001376227.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"])))