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COMERICA INC: income tax expense or benefit

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

All COMERICA 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 2008-01-01 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
2024-01-012024-12-31190,000,000USD2025-02-2410-K · 0000028412-25-000108
2023-01-012023-12-31263,000,000USD2025-02-2410-K · 0000028412-25-000108
2022-01-012022-12-31325,000,000USD2025-02-2410-K · 0000028412-25-000108
2021-01-012021-12-31322,000,000USD2024-02-2810-K · 0000028412-24-000185
2020-01-012020-12-31124,000,000USD2023-02-1410-K · 0000028412-23-000094
2019-01-012019-12-31336,000,000USD2022-02-1610-K · 0000028412-22-000067
2018-01-012018-12-31300,000,000USD2021-02-0910-K · 0000028412-21-000054
2017-01-012017-12-31491,000,000USD2020-02-1110-K · 0000028412-20-000034
2016-01-012016-12-31193,000,000USD2019-02-1210-K · 0000028412-19-000047
2015-01-012015-12-31229,000,000USD2018-02-1510-K · 0000028412-18-000065
2014-01-012014-12-31277,000,000USD2017-02-1510-K · 0000028412-17-000048
2013-01-012013-12-31245,000,000USD2016-02-2610-K · 0000028412-16-000196
2012-01-012012-12-31241,000,000USD2015-02-1710-K · 0000028412-15-000031
2011-01-012011-12-31137,000,000USD2014-02-1410-K · 0000028412-14-000067
2010-01-012010-12-3155,000,000USD2013-02-1910-K · 0000028412-13-000034
2009-12-312010-12-3155,000,000USD2011-02-2810-K · 0001193125-11-049884
2009-01-012009-12-31-131,000,000USD2012-02-2110-K · 0000028412-12-000031
2008-12-312009-12-31-131,000,000USD2011-02-2810-K · 0001193125-11-049884
2008-01-012008-12-3159,000,000USD2011-02-2810-K · 0001193125-11-049884

Related financial histories

Inspect the source

Entity
COMERICA INC / CIK 0000028412
Captured
2026-09-21T17:16:28.804Z
SEC response SHA-256
e48afe5d662d0bbd60e176de4cf351e3484037b81afc14176d5d399606d3c16d

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/0000028412.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"])))