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SUPERIOR INDUSTRIES INTERNATIONAL, INC.: income tax expense or benefit

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

All SUPERIOR INDUSTRIES INTERNATIONAL, INC. 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 2009-01-01 to 2024-12-31. The SEC response was captured on 2026-09-21.

Selected filing history

Income tax expense or benefit in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-01-012024-12-3125,501,000USD2025-03-0610-K · 0000950170-25-034599
2023-01-012023-12-31-23,946,000USD2025-03-0610-K · 0000950170-25-034599
2022-01-012022-12-3114,104,000USD2024-03-0710-K · 0000950170-24-027903
2021-01-012021-12-317,437,000USD2023-03-0210-K · 0000950170-23-005808
2020-01-012020-12-3114,881,000USD2022-03-0310-K · 0001564590-22-008510
2019-01-012019-12-313,423,000USD2021-03-0510-K · 0001564590-21-011252
2018-01-012018-12-316,291,000USD2020-02-2810-K · 0001564590-20-007814
2016-12-262017-12-316,875,000USD2020-02-2810-K · 0001564590-20-007814
2016-01-012016-12-31-13,340,000USD2017-03-0310-K · 0000095552-17-000003
2015-12-282016-12-2513,340,000USD2019-03-0710-K · 0001193125-19-067169
2015-01-012015-12-3111,339,000USD2017-03-0310-K · 0000095552-17-000003
2014-12-292015-12-2711,339,000USD2018-03-1510-K · 0001193125-18-084240
2014-01-012014-12-316,899,000USD2017-03-0310-K · 0000095552-17-000003
2013-01-012013-12-3114,017,000USD2016-03-1110-K · 0000095552-16-000033
2012-01-012012-12-313,598,000USD2014-03-0710-K · 0000095552-14-000006
2011-12-262012-12-303,598,000USD2015-03-1210-K · 0000095552-15-000015
2011-01-012011-12-31-25,243,000USD2014-03-0710-K · 0000095552-14-000006
2010-01-012010-12-312,993,000USD2013-03-1210-K · 0000095552-13-000009
2009-01-012009-12-3126,047,000USD2012-03-0710-K · 0000095552-12-000006

Related financial histories

Inspect the source

Entity
SUPERIOR INDUSTRIES INTERNATIONAL, INC. / CIK 0000095552
Captured
2026-09-21T17:16:25.009Z
SEC response SHA-256
06657538914a701ef57fa15fc406114ff8bfc341500e7c5b9103d99ec302baa9

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/0000095552.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"])))