Scotts Miracle-Gro (SMG) Receivables (2009 - 2026)
Scotts Miracle-Gro (SMG) recorded Receivables of $713 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 30.7% from $545.7 million a year earlier but down 7.0% from the prior quarter.
Scotts Miracle-Gro (SMG) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Scotts Miracle-Gro reported Receivables of $160.8 million, down 9.0% from FY2024.
- Annual Receivables has a five-year compound annual growth rate of -19.5% (FY2020 to FY2025).
- Across earlier fiscal years, Receivables came in at $176.8 million in FY2024 (-41.9%), $304.2 million in FY2023 (+1.7%), $299 million in FY2022 (-38.1%) and $483.4 million in FY2021 (+1.8%).
- Quarterly Receivables has ranged from $160.8 million in fiscal Q4 2025 to $1.04 billion in fiscal Q2 2023 over the past five years.
- On a year-over-year basis, Receivables rose in three of the last eight quarters, with an average decline of 6.6%.
- Peak year-over-year performance for Receivables in the last five years was growth of 30.7% in fiscal Q3 2026, against a decline of 41.9% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $766.7 million (Q2 2026), $193.8 million (Q1 2026) and $160.8 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.74 Bn | 35.03 Bn | 1.94 Bn | 3.66 Bn |
| 2 | Bunge Global | 20.95 Bn | 18.46 Bn | 1.68 Bn | 3.93 Bn |
| 3 | Tyson Foods | 17.92 Bn | 14.28 Bn | 921.00 Mn | 2.46 Bn |
| 4 | Jbs | 12.87 Bn | -20.24 Bn | 2.59 Bn | 3.57 Bn |
| 5 | Darling Ingredients | 9.56 Bn | 9.16 Bn | 503.37 Mn | 724.58 Mn |
| 6 | Smithfield Foods | 7.54 Bn | 2.49 Bn | 478.00 Mn | 1.98 Bn |
| 7 | Pilgrims Pride | 6.69 Bn | 4.52 Bn | 339.75 Mn | 926.08 Mn |
| 8 | Ingredion | 6.08 Bn | 2.26 Bn | 426.00 Mn | 1.39 Bn |
| 9 | Seaboard | 3.94 Bn | -881.67 Mn | 221.00 Mn | 893.00 Mn |
| 10 | Scotts Miracle-Gro | 2.82 Bn | 2.74 Bn | 365.90 Mn | 713.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 713.00 Mn |
| Mar 28, 2026 | 766.70 Mn |
| Dec 27, 2025 | 193.80 Mn |
| Sep 30, 2025 | 160.80 Mn |
| Jun 28, 2025 | 545.70 Mn |
| Mar 29, 2025 | 767.80 Mn |
| Dec 28, 2024 | 173.00 Mn |
| Sep 30, 2024 | 176.80 Mn |
| Jun 29, 2024 | 504.60 Mn |
| Mar 30, 2024 | 876.90 Mn |
| Dec 30, 2023 | 287.60 Mn |
| Sep 30, 2023 | 304.20 Mn |
| Jul 1, 2023 | 717.70 Mn |
| Apr 1, 2023 | 1.04 Bn |
| Dec 31, 2022 | 311.40 Mn |
| Sep 30, 2022 | 299.00 Mn |
| Jul 2, 2022 | 674.70 Mn |
| Apr 2, 2022 | 990.10 Mn |
| Jan 1, 2022 | 310.80 Mn |
| Sep 30, 2021 | 483.40 Mn |
Scotts Miracle-Gro Receivables 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=receivables&ticker=SMG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=SMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();