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JPMORGAN CHASE & CO: income tax expense or benefit

Income tax expense or benefit for JPMORGAN CHASE & CO. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All JPMORGAN CHASE & CO 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 2007-01-01 to 2025-12-31. 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
2025-01-012025-12-3115,547,000,000USD2026-02-1310-K · 0001628280-26-008131
2024-01-012024-12-3116,610,000,000USD2026-02-1310-K · 0001628280-26-008131
2023-01-012023-12-3112,060,000,000USD2026-02-1310-K · 0001628280-26-008131
2022-01-012022-12-318,490,000,000USD2025-02-1410-K · 0000019617-25-000270
2021-01-012021-12-3111,228,000,000USD2024-02-1610-K · 0000019617-24-000225
2020-01-012020-12-316,684,000,000USD2023-02-2110-K · 0000019617-23-000231
2019-01-012019-12-318,435,000,000USD2022-02-2210-K · 0000019617-22-000272
2018-01-012018-12-318,290,000,000USD2021-02-2310-K · 0000019617-21-000236
2017-01-012017-12-3111,459,000,000USD2020-02-2510-K · 0000019617-20-000257
2016-01-012016-12-319,803,000,000USD2019-02-2610-K · 0000019617-19-000054
2015-01-012015-12-316,260,000,000USD2018-02-2710-K · 0000019617-18-000057
2014-01-012014-12-318,954,000,000USD2017-02-2810-K · 0000019617-17-000314
2013-01-012013-12-318,789,000,000USD2016-02-2310-K · 0000019617-16-000902
2012-01-012012-12-317,633,000,000USD2015-02-2410-K · 0000019617-15-000272
2011-01-012011-12-317,773,000,000USD2014-02-2010-K · 0000019617-14-000289
2010-01-012010-12-317,489,000,000USD2013-02-2810-K · 0000019617-13-000221
2009-01-012009-12-314,415,000,000USD2012-02-2910-K · 0000019617-12-000163
2008-01-012008-12-31-926,000,000USD2011-02-2810-K · 0000950123-11-019773
2007-01-012007-12-317,440,000,000USD2010-02-2410-K · 0000950123-10-016029

Related financial histories

Inspect the source

Entity
JPMORGAN CHASE & CO / CIK 0000019617
Captured
2026-09-19T09:30:28.186Z
SEC response SHA-256
affec8192c2b39d0cd60313efa0e43ed4cf3c49ad58475abc8a3e3799f526130

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/0000019617.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"])))