Scotts Miracle-Gro (SMG) Total Liabilities (2009 - 2026)
Scotts Miracle-Gro (SMG) posted Total Liabilities of $3.38 billion for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 3.5% from $3.26 billion a year earlier but down 8.7% from the prior quarter.
Scotts Miracle-Gro (SMG) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Scotts Miracle-Gro's Total Liabilities came in at $3.1 billion, down 5.0% from FY2024.
- Annual Total Liabilities has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In prior fiscal years, Scotts Miracle-Gro's Total Liabilities was $3.26 billion in FY2024 (-11.4%), $3.68 billion in FY2023 (-11.3%), $4.15 billion in FY2022 (+9.6%) and $3.79 billion in FY2021 (+41.4%).
- Quarterly Total Liabilities has run from a low of $3.1 billion in fiscal Q4 2025 to a high of $5.23 billion in fiscal Q2 2022 over five years.
- On a year-over-year basis, Total Liabilities increased in 1 of the last eight quarters, with an average decline of 6.1%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q4 2021, with growth of 41.4%; the weakest was fiscal Q3 2024, with a decline of 15.8%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $3.7 billion (Q2 2026), $3.53 billion (Q1 2026) and $3.1 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 39.05 Bn | 35.05 Bn | 1.94 Bn | 29.95 Bn |
| 2 | Bunge Global | 19.96 Bn | 16.07 Bn | 1.68 Bn | 29.44 Bn |
| 3 | Tyson Foods | 19.47 Bn | 15.73 Bn | 921.00 Mn | 17.43 Bn |
| 4 | Jbs | 13.59 Bn | -19.68 Bn | 2.59 Bn | 37.61 Bn |
| 5 | Darling Ingredients | 9.39 Bn | 8.94 Bn | 503.37 Mn | 5.68 Bn |
| 6 | Smithfield Foods | 7.35 Bn | 2.30 Bn | 478.00 Mn | 5.01 Bn |
| 7 | Pilgrims Pride | 6.72 Bn | 4.54 Bn | 339.75 Mn | 6.27 Bn |
| 8 | Ingredion | 6.12 Bn | 2.30 Bn | 426.00 Mn | 3.55 Bn |
| 9 | Seaboard | 3.66 Bn | -1.18 Bn | 221.00 Mn | 3.17 Bn |
| 10 | Scotts Miracle-Gro | 3.25 Bn | 3.18 Bn | 365.90 Mn | 3.38 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 3.38 Bn |
| Mar 28, 2026 | 3.70 Bn |
| Dec 27, 2025 | 3.53 Bn |
| Sep 30, 2025 | 3.10 Bn |
| Jun 28, 2025 | 3.26 Bn |
| Mar 29, 2025 | 3.83 Bn |
| Dec 28, 2024 | 3.65 Bn |
| Sep 30, 2024 | 3.26 Bn |
| Jun 29, 2024 | 3.64 Bn |
| Mar 30, 2024 | 4.18 Bn |
| Dec 30, 2023 | 4.10 Bn |
| Sep 30, 2023 | 3.68 Bn |
| Jul 1, 2023 | 4.32 Bn |
| Apr 1, 2023 | 4.85 Bn |
| Dec 31, 2022 | 4.47 Bn |
| Sep 30, 2022 | 4.15 Bn |
| Jul 2, 2022 | 4.58 Bn |
| Apr 2, 2022 | 5.23 Bn |
| Jan 1, 2022 | 4.41 Bn |
| Sep 30, 2021 | 3.79 Bn |
Scotts Miracle-Gro Total Liabilities 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=total-liabilities&ticker=SMG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();