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MATTHEWS INTERNATIONAL CORP: income tax expense or benefit

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

All MATTHEWS INTERNATIONAL 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 2007-10-01 to 2025-09-30. 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
2024-10-012025-09-3040,680,000USD2025-11-2110-K · 0000063296-25-000070
2023-10-012024-09-30-9,997,000USD2025-11-2110-K · 0000063296-25-000070
2022-10-012023-09-301,774,000USD2025-11-2110-K · 0000063296-25-000070
2021-10-012022-09-30-4,391,000USD2024-11-2210-K · 0000063296-24-000094
2020-10-012021-09-306,375,000USD2023-11-1710-K · 0000063296-23-000103
2019-10-012020-09-30-18,685,000USD2022-11-1810-K · 0000063296-22-000099
2018-10-012019-09-30806,000USD2021-11-1910-K · 0000063296-21-000107
2017-10-012018-09-30-9,118,000USD2020-11-2010-K · 0000063296-20-000098
2016-10-012017-09-3022,354,000USD2019-11-2210-K · 0000063296-19-000119
2015-10-012016-09-3029,073,000USD2018-11-2010-K · 0000063296-18-000124
2014-10-012015-09-3026,364,000USD2017-11-2110-K · 0000063296-17-000098
2013-10-012014-09-3022,805,000USD2016-11-2210-K · 0000063296-16-000200
2012-10-012013-09-3026,174,000USD2015-11-2410-K · 0000063296-15-000097
2011-10-012012-09-3028,355,000USD2015-08-0710-K/A · 0000063296-15-000058
2010-10-012011-09-3038,556,000USD2013-11-2710-K · 0000063296-13-000102
2009-10-012010-09-3038,639,000USD2012-11-2710-K · 0000063296-12-000053
2008-10-012009-09-3031,313,000USD2011-11-2210-K · 0000063296-11-000076
2007-10-012008-09-3043,031,000USD2010-11-2310-K · 0000063296-10-000079

Related financial histories

Inspect the source

Entity
MATTHEWS INTERNATIONAL CORP / CIK 0000063296
Captured
2026-09-19T14:49:10.315Z
SEC response SHA-256
c3ba194ea2df423464a895dc59c87ba0eb1ee4deaa8c36b9026632ffbeb35d54

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/0000063296.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"])))