Scotts Miracle-Gro (SMG) Other Non-Current Liabilities (2009 - 2026)
Scotts Miracle-Gro (SMG) reported Other Non-Current Liabilities of $429 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 36.1% from $315.1 million a year earlier and up 21.0% from the prior quarter.
Scotts Miracle-Gro (SMG) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Scotts Miracle-Gro posted Other Non-Current Liabilities of $301 million, down 10.9% from FY2024.
- Other Non-Current Liabilities has declined for four consecutive fiscal years, though with a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- By fiscal year, Other Non-Current Liabilities came in at $338 million in FY2024 (-3.4%), $349.9 million in FY2023 (-2.5%), $359 million in FY2022 (-12.4%) and $409.6 million in FY2021 (+50.5%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Other Non-Current Liabilities in data going back to fiscal Q3 2009.
- Year over year, Other Non-Current Liabilities has now increased in each of the last three quarters, with growth averaging 1.4% over the last eight quarters.
- The high point for year-over-year Other Non-Current Liabilities in five years was fiscal Q4 2021 (growth of 50.5%); the low point was fiscal Q2 2023 (a decline of 17.5%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $354.5 million (Q2 2026), $352 million (Q1 2026) and $301 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn |
| 10 | Scotts Miracle-Gro | 2.92 Bn | 2.84 Bn | 365.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 429.00 Mn |
| Mar 28, 2026 | 354.50 Mn |
| Dec 27, 2025 | 352.00 Mn |
| Sep 30, 2025 | 301.00 Mn |
| Jun 28, 2025 | 315.10 Mn |
| Mar 29, 2025 | 317.30 Mn |
| Dec 28, 2024 | 323.90 Mn |
| Sep 30, 2024 | 338.00 Mn |
| Jun 29, 2024 | 344.70 Mn |
| Mar 30, 2024 | 354.30 Mn |
| Dec 30, 2023 | 368.40 Mn |
| Sep 30, 2023 | 349.90 Mn |
| Jul 1, 2023 | 361.70 Mn |
| Apr 1, 2023 | 340.10 Mn |
| Dec 31, 2022 | 353.20 Mn |
| Sep 30, 2022 | 359.00 Mn |
| Jul 2, 2022 | 348.10 Mn |
| Apr 2, 2022 | 412.20 Mn |
| Jan 1, 2022 | 413.20 Mn |
| Sep 30, 2021 | 409.60 Mn |
Scotts Miracle-Gro Other Non-Current 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=other-non-current-liabilities&ticker=SMG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-liabilities&ticker=SMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();