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Accendra Health, Inc.: income tax expense or benefit

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

All Accendra Health, 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 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
2025-01-012025-12-31729,000USD2026-02-2010-K · 0001104659-26-018169
2024-01-012024-12-3120,850,000USD2026-02-2010-K · 0001104659-26-018169
2023-01-012023-12-316,360,000USD2026-02-2010-K · 0001104659-26-018169
2022-01-012022-12-31-11,498,000USD2025-02-2810-K · 0001558370-25-001940
2021-01-012021-12-3155,165,000USD2024-02-2010-K · 0001558370-24-001369
2020-01-012020-12-3121,834,000USD2023-02-2810-K · 0000075252-23-000010
2019-01-012019-12-31-6,135,000USD2022-02-2310-K · 0000075252-22-000009
2018-01-012018-12-31-32,429,000USD2020-03-0410-K · 0000075252-20-000021
2017-01-012017-12-31-15,315,000USD2019-03-0610-K · 0000075252-19-000037
2016-01-012016-12-3163,755,000USD2019-03-0610-K · 0000075252-19-000037
2015-01-012015-12-3169,801,000USD2018-02-2310-K · 0000075252-18-000042
2014-01-012014-12-3159,980,000USD2017-02-1710-K · 0000075252-17-000037
2013-01-012013-12-3174,103,000USD2016-02-2510-K · 0000075252-16-000137
2012-01-012012-12-3174,353,000USD2015-02-2310-K · 0001628280-15-000917
2011-01-012011-12-3174,635,000USD2014-02-2510-K · 0001445305-14-000570
2010-01-012010-12-3171,034,000USD2013-02-2210-K · 0001193125-13-071696
2009-01-012009-12-3171,388,000USD2012-02-2410-K · 0001193125-12-077718
2008-01-012008-12-3163,469,000USD2011-02-2510-K · 0001193125-11-047429

Related financial histories

Inspect the source

Entity
Accendra Health, Inc. / CIK 0000075252
Captured
2026-09-19T11:13:44.958Z
SEC response SHA-256
28febae71aa54d097a72b7a6c358a72d476fccc3cfa4dfeddfd529258ac0556d

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/0000075252.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"])))