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MADISON SQUARE GARDEN SPORTS CORP.: income tax expense or benefit

Income tax expense or benefit for MADISON SQUARE GARDEN SPORTS CORP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All MADISON SQUARE GARDEN SPORTS CORP. financial histories

What this measure means

Current and deferred income tax expense or benefit for continuing operations. This accounting expense differs from cash taxes paid.

Exact concept: us-gaap:IncomeTaxExpenseBenefit. 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 2013-07-01 to 2026-06-30. The SEC response was captured on 2026-09-19.

Selected filing history

Income tax expense or benefit in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-07-012026-06-3010,224,000USD2026-08-1310-K · 0001628280-26-056812
2024-07-012025-06-305,166,000USD2026-08-1310-K · 0001628280-26-056812
2023-07-012024-06-3046,897,000USD2026-08-1310-K · 0001628280-26-056812
2022-07-012023-06-3044,293,000USD2025-08-1210-K · 0001636519-25-000027
2021-07-012022-06-3025,052,000USD2024-08-1310-K · 0001636519-24-000015
2020-07-012021-06-30-73,421,000USD2023-08-1710-K · 0001636519-23-000009
2019-07-012020-06-3020,593,000USD2022-08-1810-K · 0001636519-22-000009
2018-07-012019-06-30-12,619,000USD2021-08-1910-K · 0001636519-21-000010
2017-07-012018-06-30-59,392,000USD2020-08-3110-K · 0001636519-20-000025
2016-07-012017-06-30-4,404,000USD2019-08-2010-K · 0001636519-19-000019
2015-07-012016-06-30297,000USD2018-08-1710-K · 0001636519-18-000010
2014-07-012015-06-30436,000USD2017-08-1710-K · 0001636519-17-000010
2013-07-012014-06-301,697,000USD2016-08-1910-K · 0001636519-16-000016

Related financial histories

Inspect the source

Entity
MADISON SQUARE GARDEN SPORTS CORP. / CIK 0001636519
Captured
2026-09-19T11:19:54.543Z
SEC response SHA-256
d8323a79da09891c72332cca52eaedb5eb0d99750ac2226c910cf3d5d51bd410

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/0001636519.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"])))