Scotts Miracle-Gro (SMG) Operating Expenses (2009 - 2026)
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Analysis
Scotts Miracle-Gro (SMG) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 33.95 Bn | 30.43 Bn | 1.89 Bn | 951.00 Mn |
| 2 | Tyson Foods | 21.18 Bn | 17.43 Bn | 921.00 Mn | 559.00 Mn |
| 3 | Bunge Global | 19.47 Bn | 16.38 Bn | 1.33 Bn | 605.00 Mn |
| 4 | Jbs | 14.11 Bn | -19.15 Bn | 2.59 Bn | 1.99 Bn |
| 5 | Darling Ingredients | 8.33 Bn | 7.87 Bn | 503.37 Mn | 1.52 Bn |
| 6 | Smithfield Foods | 7.70 Bn | 2.25 Bn | 313.00 Mn | 193.00 Mn |
| 7 | Pilgrims Pride | 7.11 Bn | 4.61 Bn | 333.67 Mn | 142.17 Mn |
| 8 | Ingredion | 5.78 Bn | 1.95 Bn | 426.00 Mn | 45.00 Mn |
| 9 | Scotts Miracle-Gro | 3.86 Bn | 3.79 Bn | 365.90 Mn | 192.60 Mn |
| 10 | Seaboard | 3.57 Bn | -1.50 Bn | 132.00 Mn | 119.00 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();