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LOCORR FUTURES PORTFOLIO FUND L.P.: net income or loss

Net income or loss for LOCORR FUTURES PORTFOLIO FUND L.P. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All LOCORR FUTURES PORTFOLIO FUND L.P. 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 2009-01-01 to 2025-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Net income or loss in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31-10,134,473USD2026-03-2510-K · 0001999371-26-006903
2024-01-012024-12-31388,366USD2026-03-2510-K · 0001999371-26-006903
2023-01-012023-12-31-9,098,585USD2026-03-2510-K · 0001999371-26-006903
2022-01-012022-12-3113,715,079USD2025-03-3110-K · 0001999371-25-003533
2021-01-012021-12-3110,669,315USD2024-09-0410-K/A · 0001999371-24-011329
2020-01-012020-12-31-11,867,508USD2023-03-3110-K · 0001387131-23-004260
2019-01-012019-12-317,967,196USD2022-03-3110-K · 0001387131-22-004438
2018-01-012018-12-31-16,387,665USD2021-03-3010-K · 0001387131-21-003981
2017-01-012017-12-311,911,710USD2020-03-2410-K · 0001387131-20-003126
2016-01-012016-12-31-8,543,415USD2019-03-1510-K · 0001387131-19-001945
2015-01-012015-12-31-28,790,728USD2018-03-2010-K · 0001387131-18-001140
2014-01-012014-12-3153,442,352USD2017-03-2410-K · 0001387131-17-001609
2013-01-012013-12-31-28,053,231USD2016-03-2310-K · 0001387131-16-004684
2012-01-012012-12-31-83,902,956USD2015-03-2710-K · 0001387131-15-001026
2011-01-012011-12-31-134,312,843USD2014-03-2810-K · 0001387131-14-001111
2010-12-312011-12-31-134,312,843USD2013-03-2810-K · 0001144204-13-018271
2010-01-012010-12-31100,736,146USD2012-03-2810-K · 0001144204-12-017789
2009-12-312010-12-31100,736,146USD2013-03-2810-K · 0001144204-13-018271
2009-01-012009-12-31-63,345,728USD2012-03-2810-K · 0001144204-12-017789

Related financial histories

Inspect the source

Entity
LOCORR FUTURES PORTFOLIO FUND L.P. / CIK 0000861441
Captured
2026-09-21T17:16:48.091Z
SEC response SHA-256
48e09059d91999c6e3917b988542d31e90e2d9b5396aeb6f6e00846f5cda84ef

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/0000861441.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"])))