Scotts Miracle-Gro (SMG) Total Non-Current Liabilities (2009 - 2026)
Scotts Miracle-Gro's Total Non-Current Liabilities was $2.95 billion in fiscal Q3 2026 (quarter ended Jun 27, 2026), unchanged from $2.95 billion a year earlier and down 11.9% from the prior quarter.
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Analysis
Scotts Miracle-Gro (SMG) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Total Non-Current Liabilities at Scotts Miracle-Gro came in at $2.8 billion, down 4.3% from FY2024.
- Total Non-Current Liabilities has now declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- In earlier fiscal years, Total Non-Current Liabilities was $2.92 billion in FY2024 (-12.2%), $3.33 billion in FY2023 (-12.1%), $3.79 billion in FY2022 (+12.2%) and $3.38 billion in FY2021 (+40.4%).
- Quarterly Total Non-Current Liabilities has moved between $2.8 billion (fiscal Q4 2025) and $4.82 billion (fiscal Q2 2022) over five years.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q4 2021 (growth of 40.4%); the worst was fiscal Q3 2024 (a decline of 16.9%).
- Per Business Quant data, SMG's Total Non-Current Liabilities in the three fiscal quarters before Q3 2026 was $3.34 billion (Q2 2026), $3.18 billion (Q1 2026) and $2.8 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.95 Bn | 34.95 Bn | 1.94 Bn | 9.64 Bn |
| 2 | Bunge Global | 19.90 Bn | 16.02 Bn | 1.68 Bn | 28.26 Bn |
| 3 | Tyson Foods | 19.34 Bn | 15.60 Bn | 921.00 Mn | 15.41 Bn |
| 4 | Jbs | 13.58 Bn | -19.69 Bn | 2.59 Bn | 25.20 Bn |
| 5 | Darling Ingredients | 9.41 Bn | 8.95 Bn | 503.37 Mn | 5.50 Bn |
| 6 | Smithfield Foods | 7.29 Bn | 2.24 Bn | 478.00 Mn | 4.82 Bn |
| 7 | Pilgrims Pride | 6.74 Bn | 4.56 Bn | 339.75 Mn | 6.23 Bn |
| 8 | Ingredion | 6.11 Bn | 2.29 Bn | 426.00 Mn | - |
| 9 | Seaboard | 3.65 Bn | -1.19 Bn | 221.00 Mn | 3.02 Bn |
| 10 | Scotts Miracle-Gro | 3.25 Bn | 3.17 Bn | 365.90 Mn | 2.95 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 2.95 Bn |
| Mar 28, 2026 | 3.34 Bn |
| Dec 27, 2025 | 3.18 Bn |
| Sep 30, 2025 | 2.80 Bn |
| Jun 28, 2025 | 2.95 Bn |
| Mar 29, 2025 | 3.51 Bn |
| Dec 28, 2024 | 3.33 Bn |
| Sep 30, 2024 | 2.92 Bn |
| Jun 29, 2024 | 3.29 Bn |
| Mar 30, 2024 | 3.82 Bn |
| Dec 30, 2023 | 3.73 Bn |
| Sep 30, 2023 | 3.33 Bn |
| Jul 1, 2023 | 3.96 Bn |
| Apr 1, 2023 | 4.51 Bn |
| Dec 31, 2022 | 4.12 Bn |
| Sep 30, 2022 | 3.79 Bn |
| Jul 2, 2022 | 4.23 Bn |
| Apr 2, 2022 | 4.82 Bn |
| Jan 1, 2022 | 4.00 Bn |
| Sep 30, 2021 | 3.38 Bn |
API Access
Scotts Miracle-Gro Total 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=total-non-current-liabilities&ticker=SMG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=SMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();