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Scotts Miracle-Gro Co: income tax expense or benefit

Income tax expense or benefit for Scotts Miracle-Gro Co. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Scotts Miracle-Gro Co 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 2007-10-01 to 2025-09-30. 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
2024-10-012025-09-3076,500,000USD2025-11-2510-K · 0000825542-25-000022
2023-10-012024-09-3011,300,000USD2025-11-2510-K · 0000825542-25-000022
2022-10-012023-09-30-73,200,000USD2025-11-2510-K · 0000825542-25-000022
2021-10-012022-09-30-120,600,000USD2024-11-2610-K · 0001546380-24-000043
2020-10-012021-09-30159,800,000USD2023-11-2210-K · 0001546380-23-000037
2019-10-012020-09-30123,700,000USD2022-11-2810-K · 0001546380-22-000035
2018-10-012019-09-30144,900,000USD2021-11-2310-K · 0001546380-21-000037
2017-10-012018-09-30-11,900,000USD2020-11-2410-K · 0001546380-20-000045
2016-10-012017-09-30116,600,000USD2019-11-2710-K · 0001546380-19-000034
2015-10-012016-09-30137,600,000USD2018-11-2910-K · 0001546380-18-000030
2014-10-012015-09-3076,300,000USD2017-11-2810-K · 0001546380-17-000042
2013-10-012014-09-3080,200,000USD2016-11-2810-K · 0001546380-16-000078
2012-10-012013-09-3091,900,000USD2015-11-2410-K · 0001546380-15-000033
2011-10-012012-09-3067,800,000USD2014-11-2510-K · 0001546380-14-000035
2010-10-022011-09-3082,700,000USD2013-11-2010-K · 0001546380-13-000032
2010-10-012011-09-3082,700,000USD2012-11-2010-K · 0001546380-12-000025
2009-10-012010-09-30123,500,000USD2012-11-2010-K · 0001546380-12-000025
2008-10-012009-09-3075,500,000USD2011-11-2310-K · 0001193125-11-320616
2007-10-012008-09-3024,800,000USD2010-11-2410-K · 0000950123-10-108803

Related financial histories

Inspect the source

Entity
Scotts Miracle-Gro Co / CIK 0000825542
Captured
2026-09-19T11:14:44.720Z
SEC response SHA-256
e68cdec8d9269baa38f2998ced5aee34f5a351b2fb6e9846b22c6bb0a6062a18

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/0000825542.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"])))