Scotts Miracle-Gro (SMG) Capital Expenditures (2009 - 2026)
Scotts Miracle-Gro's Capital Expenditures came in at $24.5 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 45.0% from $16.9 million a year earlier and up 31.7% from the prior quarter.
Scotts Miracle-Gro (SMG) Capital Expenditures (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Scotts Miracle-Gro reported Capital Expenditures of $106 million, up 49.1% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $97.4 million, up 16.0% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- Going back by fiscal year, Capital Expenditures was $84 million in FY2024 (-9.5%), $92.8 million in FY2023 (-18.2%), $113.5 million in FY2022 (+6.2%) and $106.9 million in FY2021 (+70.5%).
- The five-year range for quarterly Capital Expenditures is $8.3 million (fiscal Q2 2025) to $46.1 million (fiscal Q1 2022).
- Year-over-year, Capital Expenditures increased in four of the last eight quarters, with growth averaging 29.9%.
- The fastest year-over-year change in Capital Expenditures over five years came in fiscal Q4 2025 (growth of 158.4%), and the weakest in fiscal Q4 2022 (a decline of 50.0%).
- Business Quant data shows SMG's Capital Expenditures at $18.6 million (Q2 2026), $20 million (Q1 2026) and $42.9 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn | 272.00 Mn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn | 443.00 Mn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn | 159.00 Mn |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn | 1.75 Bn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn | 128.85 Mn |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn | 77.00 Mn |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn | 254.20 Mn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn | 100.00 Mn |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn | 102.00 Mn |
| 10 | Scotts Miracle-Gro | 2.92 Bn | 2.84 Bn | 365.90 Mn | 24.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 24.50 Mn |
| Mar 28, 2026 | 18.60 Mn |
| Dec 27, 2025 | 20.00 Mn |
| Sep 30, 2025 | 42.90 Mn |
| Jun 28, 2025 | 16.90 Mn |
| Mar 29, 2025 | 8.30 Mn |
| Dec 28, 2024 | 29.30 Mn |
| Sep 30, 2024 | 16.60 Mn |
| Jun 29, 2024 | 13.20 Mn |
| Mar 30, 2024 | 16.30 Mn |
| Dec 30, 2023 | 37.90 Mn |
| Sep 30, 2023 | 19.00 Mn |
| Jul 1, 2023 | 22.00 Mn |
| Apr 1, 2023 | 22.20 Mn |
| Dec 31, 2022 | 29.60 Mn |
| Sep 30, 2022 | 14.50 Mn |
| Jul 2, 2022 | 33.00 Mn |
| Apr 2, 2022 | 19.90 Mn |
| Jan 1, 2022 | 46.10 Mn |
| Sep 30, 2021 | 29.00 Mn |
Scotts Miracle-Gro Capital Expenditures 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=capital-expenditures&ticker=SMG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=SMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();