Scotts Miracle-Gro (SMG) Long-Term Investments (2016 - 2026)
Scotts Miracle-Gro's Long-Term Investments was $65.2 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), down 1.1% from $65.9 million a year earlier but up 81.1% from the prior quarter.
Powered by 
Analysis
Scotts Miracle-Gro (SMG) Long-Term Investments (2016 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Long-Term Investments at Scotts Miracle-Gro came in at $53.6 million, up 18.6% from FY2024.
- Long-Term Investments shows a four-year compound annual growth rate of -28.7% (FY2021 to FY2025).
- In earlier fiscal years, Long-Term Investments was $45.2 million in FY2024 (-50.8%), $91.9 million in FY2023 (-52.6%), $193.8 million in FY2022 (-6.4%) and $207 million in FY2021.
- Quarterly Long-Term Investments has moved between $36 million (fiscal Q2 2026) and $208.3 million (fiscal Q3 2022) over five years.
- Compared with a year earlier, Long-Term Investments has declined for three straight quarters, with an average decline of 24.5% over the last eight quarters.
- The best year-over-year quarter for Long-Term Investments over five years was fiscal Q4 2025 (growth of 18.6%); the worst was fiscal Q4 2023 (a decline of 52.6%).
- Per Business Quant data, SMG's Long-Term Investments in the three fiscal quarters before Q3 2026 was $36 million (Q2 2026), $40.5 million (Q1 2026) and $53.6 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.33 Bn | 34.62 Bn | 1.94 Bn | 5.90 Bn |
| 2 | Bunge Global | 20.48 Bn | 17.99 Bn | 1.68 Bn | 1.31 Bn |
| 3 | Tyson Foods | 17.76 Bn | 14.11 Bn | 921.00 Mn | - |
| 4 | Jbs | 12.04 Bn | -21.06 Bn | 2.59 Bn | 225.66 Mn |
| 5 | Darling Ingredients | 9.73 Bn | 9.33 Bn | 503.37 Mn | 2.59 Bn |
| 6 | Smithfield Foods | 7.32 Bn | 2.27 Bn | 478.00 Mn | 213.00 Mn |
| 7 | Pilgrims Pride | 6.00 Bn | 3.83 Bn | 339.75 Mn | - |
| 8 | Ingredion | 5.99 Bn | 2.16 Bn | 426.00 Mn | 255.00 Mn |
| 9 | Seaboard | 3.79 Bn | -1.03 Bn | 221.00 Mn | 792.00 Mn |
| 10 | Scotts Miracle-Gro | 2.91 Bn | 2.84 Bn | 365.90 Mn | 65.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 65.20 Mn |
| Mar 28, 2026 | 36.00 Mn |
| Dec 27, 2025 | 40.50 Mn |
| Sep 30, 2025 | 53.60 Mn |
| Jun 28, 2025 | 65.90 Mn |
| Mar 29, 2025 | 40.60 Mn |
| Dec 28, 2024 | 46.40 Mn |
| Sep 30, 2024 | 45.20 Mn |
| Jun 29, 2024 | 106.80 Mn |
| Mar 30, 2024 | 83.80 Mn |
| Dec 30, 2023 | 90.80 Mn |
| Sep 30, 2023 | 91.90 Mn |
| Jul 1, 2023 | 196.50 Mn |
| Apr 1, 2023 | 174.20 Mn |
| Dec 31, 2022 | 181.50 Mn |
| Sep 30, 2022 | 193.80 Mn |
| Jul 2, 2022 | 208.30 Mn |
| Apr 2, 2022 | 193.20 Mn |
| Jan 1, 2022 | 199.70 Mn |
| Sep 30, 2021 | 207.00 Mn |
API Access
Scotts Miracle-Gro Long-Term Investments 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=long-term-investments&ticker=SMG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=SMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();