Scotts Miracle-Gro (SMG) Interest Expenses (2009 - 2026)
Scotts Miracle-Gro's Interest Expenses came in at $28 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 11.9% from $31.8 million a year earlier and down 10.5% from the prior quarter.
Scotts Miracle-Gro (SMG) Interest Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Scotts Miracle-Gro reported Interest Expenses of $113.1 million, down 16.5% year-over-year; for FY2025 (ended Sep 30, 2025), it was $128.8 million, down 18.9% from FY2024.
- Interest Expenses carries a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- Going back by fiscal year, Interest Expenses was $158.8 million in FY2024 (-10.8%), $178.1 million in FY2023 (+50.8%), $118.1 million in FY2022 (+49.7%) and $78.9 million in FY2021 (-0.9%).
- The five-year range for quarterly Interest Expenses is $21.6 million (fiscal Q4 2021) to $48.3 million (fiscal Q2 2023).
- Year-over-year, Interest Expenses has declined for ten consecutive quarters, with an average decline of 17.4% over the last eight quarters.
- The fastest year-over-year change in Interest Expenses over five years came in fiscal Q1 2023 (growth of 79.4%), and the weakest in fiscal Q1 2025 (a decline of 20.8%).
- Business Quant data shows SMG's Interest Expenses at $31.3 million (Q2 2026), $27.2 million (Q1 2026) and $26.6 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn | 148.00 Mn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn | 197.00 Mn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn | 98.00 Mn |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn | 831.22 Mn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn | 55.53 Mn |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn | 8.00 Mn |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn | 49.86 Mn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn | 55.00 Mn |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn | 20.00 Mn |
| 10 | Scotts Miracle-Gro | 2.92 Bn | 2.84 Bn | 365.90 Mn | 28.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 28.00 Mn |
| Mar 28, 2026 | 31.30 Mn |
| Dec 27, 2025 | 27.20 Mn |
| Sep 30, 2025 | 26.60 Mn |
| Jun 28, 2025 | 31.80 Mn |
| Mar 29, 2025 | 36.60 Mn |
| Dec 28, 2024 | 33.90 Mn |
| Sep 30, 2024 | 33.20 Mn |
| Jun 29, 2024 | 38.80 Mn |
| Mar 30, 2024 | 44.10 Mn |
| Dec 30, 2023 | 42.80 Mn |
| Sep 30, 2023 | 40.00 Mn |
| Jul 1, 2023 | 47.10 Mn |
| Apr 1, 2023 | 48.30 Mn |
| Dec 31, 2022 | 42.70 Mn |
| Sep 30, 2022 | 35.00 Mn |
| Jul 2, 2022 | 31.00 Mn |
| Apr 2, 2022 | 28.30 Mn |
| Jan 1, 2022 | 23.80 Mn |
| Sep 30, 2021 | 21.60 Mn |
Scotts Miracle-Gro Interest 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=interest-expenses&ticker=SMG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=SMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();