Skip to content

LIBERTY MEDIA CORPORATION: profit or loss including noncontrolling interests

Profit or loss including noncontrolling interests for LIBERTY MEDIA CORPORATION. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All LIBERTY MEDIA CORPORATION financial histories

What this measure means

Net income or loss including the portion attributable to noncontrolling interests. It can differ from the net income attributable to the parent that per-share figures use.

Exact concept: us-gaap:ProfitLoss. 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 2010-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Profit or loss including noncontrolling interests in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31555,000,000USD2026-02-2610-K · 0001104659-26-020653
2024-01-012024-12-31-2,475,000,000USD2026-02-2610-K · 0001104659-26-020653
2023-01-012023-12-31962,000,000USD2026-02-2610-K · 0001104659-26-020653
2022-01-012022-12-312,029,000,000USD2025-02-2710-K · 0001558370-25-001830
2021-01-012021-12-31744,000,000USD2024-02-2810-K · 0001558370-24-002013
2020-01-012020-12-31-1,391,000,000USD2023-03-0110-K · 0001558370-23-002514
2019-01-012019-12-31347,000,000USD2022-02-2510-K · 0001558370-22-002199
2018-01-012018-12-31865,000,000USD2021-02-2610-K · 0001558370-21-001967
2017-01-012017-12-311,890,000,000USD2020-02-2610-K · 0001558370-20-001494
2016-01-012016-12-31924,000,000USD2019-02-2810-K · 0001558370-19-001329
2015-01-012015-12-31248,000,000USD2018-03-0110-K · 0001558370-18-001342
2014-01-012014-12-31395,000,000USD2017-02-2810-K · 0001558370-17-001148
2013-01-012013-12-318,991,000,000USD2016-02-2610-K · 0001558370-16-003609
2012-01-012012-12-311,412,000,000USD2015-02-2610-K · 0001558370-15-000201
2011-01-012011-12-31832,000,000USD2014-02-2810-K · 0001560385-14-000012
2010-01-012010-12-31997,000,000USD2013-02-2810-K · 0001560385-13-000012

Related financial histories

Inspect the source

Entity
LIBERTY MEDIA CORPORATION / CIK 0001560385
Captured
2026-09-20T09:19:43.438Z
SEC response SHA-256
748dcb1c5b27942b8cd9e303fe6754a4e8e980a25675cd6f07fa709136511a95

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/0001560385.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"])))