Scotts Miracle-Gro (SMG) Tax Provisions (2009 - 2026)
Scotts Miracle-Gro (SMG) reported Tax Provisions of $51.6 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 13.0% from $59.3 million a year earlier and down 49.2% from the prior quarter.
Scotts Miracle-Gro (SMG) Tax Provisions (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Scotts Miracle-Gro's Tax Provisions came in at $94.5 million, up 83.1% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $76.5 million, up 577.0% from FY2024.
- Tax Provisions has a five-year compound annual growth rate of -9.2% (FY2020 to FY2025).
- By fiscal year, Tax Provisions came in at $11.3 million in FY2024, -$73.2 million in FY2023, -$120.6 million in FY2022 and $159.8 million in FY2021 (+29.2%).
- Five-year quarterly Tax Provisions spans a low of -$132.8 million in fiscal Q3 2022 and a high of $101.6 million in fiscal Q2 2026.
- Year over year, Tax Provisions gained in three of the last four quarters, with growth averaging 14.9%.
- The high point for year-over-year Tax Provisions in five years was fiscal Q3 2024 (growth of 513.3%); the low point was fiscal Q2 2023 (a decline of 48.5%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $101.6 million (Q2 2026), -$15.5 million (Q1 2026) and -$43.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn | 176.00 Mn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn | 236.00 Mn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn | 80.00 Mn |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn | -125.91 Mn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn | 110.64 Mn |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn | 64.00 Mn |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn | 8.57 Mn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn | 59.00 Mn |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn | 52.00 Mn |
| 10 | Scotts Miracle-Gro | 2.92 Bn | 2.84 Bn | 365.90 Mn | 51.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 51.60 Mn |
| Mar 28, 2026 | 101.60 Mn |
| Dec 27, 2025 | -15.50 Mn |
| Sep 30, 2025 | -43.20 Mn |
| Jun 28, 2025 | 59.30 Mn |
| Mar 29, 2025 | 85.30 Mn |
| Dec 28, 2024 | -24.80 Mn |
| Sep 30, 2024 | -68.20 Mn |
| Jun 29, 2024 | 50.90 Mn |
| Mar 30, 2024 | 62.30 Mn |
| Dec 30, 2023 | -33.70 Mn |
| Sep 30, 2023 | -92.20 Mn |
| Jul 1, 2023 | 8.30 Mn |
| Apr 1, 2023 | 40.40 Mn |
| Dec 31, 2022 | -29.60 Mn |
| Sep 30, 2022 | -51.60 Mn |
| Jul 2, 2022 | -132.80 Mn |
| Apr 2, 2022 | 78.50 Mn |
| Jan 1, 2022 | -14.70 Mn |
| Sep 30, 2021 | -14.40 Mn |
Scotts Miracle-Gro Tax Provisions API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=tax-provisions&ticker=SMG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "SMG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=tax-provisions&ticker=SMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();