Scotts Miracle-Gro (SMG) Restructuring Costs (2011 - 2026)
Scotts Miracle-Gro (SMG) posted Restructuring Costs of $47 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), compared with -$1 million a year earlier.
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Analysis
Scotts Miracle-Gro (SMG) Restructuring Costs (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Restructuring Costs at Scotts Miracle-Gro was $88.5 million, down 6.4% year-over-year; for FY2025 (ended Sep 30, 2025), it was $63.4 million, up 1.0% from FY2024.
- Annual Restructuring Costs shows a five-year compound annual growth rate of 139.8% (FY2020 to FY2025).
- In prior fiscal years, Scotts Miracle-Gro's Restructuring Costs was $62.8 million in FY2024 (-77.6%), $280.5 million in FY2023 (-59.5%), $693.1 million in FY2022 and $4.3 million in FY2021 (+437.5%).
- The fiscal Q3 2026 figure stands as the highest quarterly Restructuring Costs since fiscal Q4 2024.
- On a year-over-year basis, Restructuring Costs increased in 1 of the last five quarters, with growth averaging 21.9%.
- The strongest year-over-year quarter for Restructuring Costs in the past five years was fiscal Q4 2023, with growth of 655.3%; the weakest was fiscal Q3 2023, with a decline of 99.7%.
- According to Business Quant data, Restructuring Costs for the three prior fiscal quarters was $2.2 million (Q2 2026), $1.8 million (Q1 2026) and $37.5 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.97 Bn | 34.97 Bn | 1.94 Bn |
| 2 | Bunge Global | 19.86 Bn | 15.98 Bn | 1.68 Bn |
| 3 | Tyson Foods | 19.49 Bn | 15.74 Bn | 921.00 Mn |
| 4 | Jbs | 13.62 Bn | -19.65 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.39 Bn | 8.93 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.30 Bn | 2.25 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.72 Bn | 4.54 Bn | 339.75 Mn |
| 8 | Ingredion | 6.12 Bn | 2.30 Bn | 426.00 Mn |
| 9 | Seaboard | 3.65 Bn | -1.20 Bn | 221.00 Mn |
| 10 | Scotts Miracle-Gro | 3.26 Bn | 3.19 Bn | 365.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 47.00 Mn |
| Mar 28, 2026 | 2.20 Mn |
| Dec 27, 2025 | 1.80 Mn |
| Sep 30, 2025 | 37.50 Mn |
| Jun 28, 2025 | -1.00 Mn |
| Mar 29, 2025 | 10.40 Mn |
| Dec 28, 2024 | 16.50 Mn |
| Sep 30, 2024 | 68.70 Mn |
| Jun 29, 2024 | -800,000.00 |
| Mar 30, 2024 | 2.10 Mn |
| Dec 30, 2023 | -7.10 Mn |
| Sep 30, 2023 | 248.50 Mn |
| Jul 1, 2023 | 1.70 Mn |
| Apr 1, 2023 | 21.80 Mn |
| Dec 31, 2022 | 8.50 Mn |
| Sep 30, 2022 | 32.90 Mn |
| Jul 2, 2022 | 658.40 Mn |
| Apr 2, 2022 | 100,000.00 |
| Jan 1, 2022 | 1.80 Mn |
| Sep 30, 2021 | 600,000.00 |
API Access
Scotts Miracle-Gro Restructuring Costs 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=restructuring-costs&ticker=SMG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=SMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();