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ANALOG DEVICES INC: deferred income tax expense or benefit

Deferred income tax expense or benefit for ANALOG DEVICES INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All ANALOG DEVICES INC financial histories

What this measure means

The deferred portion of income tax expense or benefit, arising from timing differences. It is not tax paid in the period.

Exact concept: us-gaap:DeferredIncomeTaxExpenseBenefit. 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 2006-10-29 to 2025-11-01. The SEC response was captured on 2026-09-19.

Selected filing history

Deferred income tax expense or benefit in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-11-032025-11-01-246,645,000USD2025-11-2510-K · 0000006281-25-000153
2023-10-292024-11-02-367,563,000USD2025-11-2510-K · 0000006281-25-000153
2022-10-302023-10-28-452,946,000USD2025-11-2510-K · 0000006281-25-000153
2021-10-312022-10-29-326,755,000USD2024-11-2610-K · 0000006281-24-000204
2020-11-012021-10-30-406,922,000USD2023-11-2110-K · 0000006281-23-000203
2019-11-032020-10-31-113,948,000USD2022-11-2210-K · 0000006281-22-000250
2018-11-042019-11-02-91,253,000USD2021-12-0310-K · 0000006281-21-000294
2017-10-292018-11-03-730,376,000USD2020-11-2410-K · 0000006281-20-000156
2016-10-302017-10-28-810,398,000USD2019-11-2610-K · 0000006281-19-000144
2015-11-012016-10-298,124,000USD2018-11-2710-K · 0000006281-18-000126
2014-11-022015-10-31-52,214,000USD2017-11-2210-K · 0000006281-17-000144
2013-11-032014-11-01-77,711,000USD2016-11-2210-K · 0000006281-16-000097
2012-11-042013-11-02-17,699,000USD2015-11-2410-K · 0000006281-15-000044
2011-10-302012-11-03-9,801,000USD2014-12-1010-K · 0000006281-14-000039
2010-10-312011-10-291,704,000USD2013-11-2610-K · 0000006281-13-000040
2009-11-012010-10-30-9,866,000USD2012-11-2710-K · 0000006281-12-000010
2008-11-022009-10-3111,595,000USD2011-11-2210-K · 0000950123-11-099928
2007-11-042008-11-01-11,369,000USD2010-11-2210-K · 0000950123-10-107816
2006-10-292007-11-03-2,850,000USD2009-11-2410-K · 0000950123-09-065635

Related financial histories

Inspect the source

Entity
ANALOG DEVICES INC / CIK 0000006281
Captured
2026-09-19T14:43:18.509Z
SEC response SHA-256
f468425da29412efbec29798ecd0f9cc719edd5766d734c5c3fc1092a3fe237c

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/0000006281.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"])))