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Genpact Limited: income tax expense or benefit

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

All Genpact Limited 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 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Income tax expense or benefit in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31177,653,000USD2026-02-2610-K · 0001398659-26-000004
2024-01-012024-12-31163,150,000USD2026-02-2610-K · 0001398659-26-000004
2023-01-012023-12-31-29,031,000USD2026-02-2610-K · 0001398659-26-000004
2022-01-012022-12-31111,832,000USD2025-03-0310-K · 0001398659-25-000035
2021-01-012021-12-31113,681,000USD2024-02-2910-K · 0001398659-24-000031
2020-01-012020-12-3192,201,000USD2023-03-0110-K · 0001398659-23-000009
2019-01-012019-12-3194,536,000USD2022-03-0110-K · 0001398659-22-000009
2018-01-012018-12-3180,763,000USD2021-03-0110-K · 0001564590-21-009746
2017-01-012017-12-3159,742,000USD2020-03-0210-K · 0001564590-20-008158
2016-01-012016-12-3162,098,000USD2019-03-0110-K · 0001564590-19-005767
2015-01-012015-12-3161,937,000USD2018-03-0110-K · 0001564590-18-004031
2014-01-012014-12-3157,419,000USD2017-03-0110-K · 0001564590-17-003076
2013-01-012013-12-3171,100,000USD2016-02-2610-K · 0001193125-16-480871
2012-01-012012-12-3178,419,000USD2015-02-2710-K · 0001193125-15-068826
2011-01-012011-12-3170,656,000USD2014-02-2810-K · 0001193125-14-076650
2010-01-012010-12-3134,203,000USD2013-03-0110-K · 0001193125-13-087279
2009-01-012009-12-3125,466,000USD2012-02-2910-K · 0001193125-12-087932
2008-01-012008-12-318,823,000USD2011-03-0110-K · 0001193125-11-052096

Related financial histories

Inspect the source

Entity
Genpact Limited / CIK 0001398659
Captured
2026-09-20T08:00:24.889Z
SEC response SHA-256
426f3b0c113b3e6a44e4a2b4a5a18a65e3f473c85b103301854da3c7cc76c6e9

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/0001398659.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"])))