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Quest Diagnostics Inc: income tax expense or benefit

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

All Quest Diagnostics 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 2007-01-01 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
2025-01-012025-12-31314,000,000USD2026-02-2610-K · 0001022079-26-000015
2024-01-012024-12-31273,000,000USD2026-02-2610-K · 0001022079-26-000015
2023-01-012023-12-31248,000,000USD2026-02-2610-K · 0001022079-26-000015
2022-01-012022-12-31264,000,000USD2025-02-2010-K · 0001022079-25-000044
2021-01-012021-12-31597,000,000USD2024-02-2210-K · 0001022079-24-000041
2020-01-012020-12-31460,000,000USD2023-02-2110-K · 0001022079-23-000018
2019-01-012019-12-31247,000,000USD2022-02-2810-K · 0001022079-22-000027
2018-01-012018-12-31182,000,000USD2021-02-2210-K · 0001022079-21-000029
2017-01-012017-12-31241,000,000USD2020-02-2010-K · 0001022079-20-000017
2016-01-012016-12-31429,000,000USD2019-02-2110-K · 0001022079-19-000030
2015-01-012015-12-31373,000,000USD2018-02-2310-K · 0001022079-18-000038
2014-01-012014-12-31262,000,000USD2017-02-2210-K · 0001022079-17-000032
2013-01-012013-12-31500,000,000USD2016-02-2610-K · 0001022079-16-000195
2012-01-012012-12-31402,000,000USD2015-02-2410-K · 0001022079-15-000034
2011-01-012011-12-31355,000,000USD2014-02-1810-K · 0001022079-14-000013
2010-01-012010-12-31430,127,000USD2013-02-2710-K · 0001022079-13-000014
2009-01-012009-12-31460,474,000USD2012-02-1610-K · 0000930413-12-000949
2008-01-012008-12-31386,768,000USD2011-02-1610-K · 0000930413-11-001115
2007-01-012007-12-31358,574,000USD2010-02-1710-K · 0000930413-10-000862

Related financial histories

Inspect the source

Entity
Quest Diagnostics Inc / CIK 0001022079
Captured
2026-09-20T05:13:34.798Z
SEC response SHA-256
adbcd1ab76a0f4e97550d23fe491dd7925c24a4e382bdc83c78850bdff87d14f

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/0001022079.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"])))