Scotts Miracle-Gro (SMG) Operating Expenses (2009 - 2026)
Scotts Miracle-Gro's Operating Expenses came in at $192.6 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 33.9% from $143.8 million a year earlier but down 4.4% from the prior quarter.
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Analysis
Scotts Miracle-Gro (SMG) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Scotts Miracle-Gro reported Operating Expenses of $706.5 million, up 9.0% year-over-year; for FY2025 (ended Sep 30, 2025), it was $666.8 million, up 7.2% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -2.5% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $621.8 million in FY2024 (-25.2%), $831.8 million in FY2023 (-36.3%), $1.31 billion in FY2022 (+74.7%) and $747.8 million in FY2021 (-1.4%).
- The five-year range for quarterly Operating Expenses is $107.7 million (fiscal Q1 2024) to $794.2 million (fiscal Q3 2022).
- Year-over-year, Operating Expenses increased in five of the last eight quarters, with growth averaging 1.1%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q3 2022 (growth of 308.1%), and the weakest in fiscal Q3 2023 (a decline of 83.6%).
- Business Quant data shows SMG's Operating Expenses at $201.4 million (Q2 2026), $107.8 million (Q1 2026) and $204.7 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 39.05 Bn | 35.05 Bn | 1.94 Bn | 1.04 Bn |
| 2 | Bunge Global | 19.98 Bn | 16.10 Bn | 1.68 Bn | 606.00 Mn |
| 3 | Tyson Foods | 19.21 Bn | 15.47 Bn | 921.00 Mn | 559.00 Mn |
| 4 | Jbs | 13.69 Bn | -19.58 Bn | 2.59 Bn | 1.99 Bn |
| 5 | Darling Ingredients | 9.31 Bn | 8.85 Bn | 503.37 Mn | 1.52 Bn |
| 6 | Smithfield Foods | 7.28 Bn | 2.23 Bn | 478.00 Mn | 191.00 Mn |
| 7 | Pilgrims Pride | 6.76 Bn | 4.58 Bn | 339.75 Mn | 273.80 Mn |
| 8 | Ingredion | 6.14 Bn | 2.31 Bn | 426.00 Mn | 45.00 Mn |
| 9 | Seaboard | 3.72 Bn | -1.12 Bn | 221.00 Mn | 121.00 Mn |
| 10 | Scotts Miracle-Gro | 3.27 Bn | 3.19 Bn | 365.90 Mn | 192.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 192.60 Mn |
| Mar 28, 2026 | 201.40 Mn |
| Dec 27, 2025 | 107.80 Mn |
| Sep 30, 2025 | 204.70 Mn |
| Jun 28, 2025 | 143.80 Mn |
| Mar 29, 2025 | 188.20 Mn |
| Dec 28, 2024 | 130.00 Mn |
| Sep 30, 2024 | 186.30 Mn |
| Jun 29, 2024 | 147.10 Mn |
| Mar 30, 2024 | 180.80 Mn |
| Dec 30, 2023 | 107.70 Mn |
| Sep 30, 2023 | 356.50 Mn |
| Jul 1, 2023 | 130.20 Mn |
| Apr 1, 2023 | 208.10 Mn |
| Dec 31, 2022 | 137.00 Mn |
| Sep 30, 2022 | 151.30 Mn |
| Jul 2, 2022 | 794.20 Mn |
| Apr 2, 2022 | 204.80 Mn |
| Jan 1, 2022 | 155.90 Mn |
| Sep 30, 2021 | 161.80 Mn |
API Access
Scotts Miracle-Gro Operating Expenses 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=operating-expenses&ticker=SMG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();