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SS&C TECHNOLOGIES HOLDINGS, INC.: income tax expense or benefit

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

All SS&C TECHNOLOGIES HOLDINGS, 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 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
2025-01-012025-12-31176,100,000USD2026-02-2610-K · 0001193125-26-076745
2024-01-012024-12-31132,000,000USD2026-02-2610-K · 0001193125-26-076745
2023-01-012023-12-31249,100,000USD2026-02-2610-K · 0001193125-26-076745
2022-01-012022-12-31227,100,000USD2025-03-0410-K/A · 0000950170-25-031295
2021-01-012021-12-31236,400,000USD2024-02-2810-K · 0000950170-24-022080
2020-01-012020-12-31150,600,000USD2023-02-2810-K · 0000950170-23-005072
2019-01-012019-12-3193,200,000USD2022-02-2510-K · 0000950170-22-002107
2018-01-012018-12-3121,900,000USD2021-02-2510-K · 0001564590-21-008862
2017-01-012017-12-31-46,200,000USD2020-02-2810-K · 0001564590-20-007695
2016-01-012016-12-3132,600,000USD2019-03-0110-K · 0001564590-19-005753
2015-01-012015-12-3117,980,000USD2018-02-2810-K · 0001564590-18-003827
2014-01-012014-12-3146,527,000USD2017-02-2810-K · 0001564590-17-002806
2013-01-012013-12-3127,292,000USD2016-02-2910-K · 0001564590-16-013602
2012-01-012012-12-3124,665,000USD2015-02-2610-K · 0001193125-15-065621
2011-01-012011-12-3122,918,000USD2014-02-2710-K · 0001193125-14-073044
2010-01-012010-12-3112,034,000USD2013-03-0110-K · 0001193125-13-085529
2009-01-012009-12-319,804,000USD2012-03-1210-K · 0001193125-12-107371

Related financial histories

Inspect the source

Entity
SS&C TECHNOLOGIES HOLDINGS, INC. / CIK 0001402436
Captured
2026-09-20T08:00:50.076Z
SEC response SHA-256
a7d9dc3f124f0a9d7ec9d0c3d2d0d23086312ef0adf1078bc84b45319e129568

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/0001402436.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"])))