Scotts Miracle-Gro (SMG) EBITDA (2009 - 2026)
Scotts Miracle-Gro (SMG) recorded EBITDA of $186.3 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), down 22.5% from $240.4 million a year earlier and down 55.4% from the prior quarter.
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Analysis
Scotts Miracle-Gro (SMG) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Scotts Miracle-Gro's EBITDA came in at $452.2 million as of Jun 27, 2026, up 17.1% year-over-year; for FY2025 (ended Sep 30, 2025), it was $433.6 million, up 49.8% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of -8.6% (FY2020 to FY2025).
- Across earlier fiscal years, EBITDA came in at $289.4 million in FY2024, -$81.9 million in FY2023, -$328.8 million in FY2022 and $816.8 million in FY2021 (+20.1%).
- Quarterly EBITDA has ranged from -$535.4 million in fiscal Q3 2022 to $417.9 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, EBITDA rose in three of the last four quarters, with growth averaging 6.5%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 120.5% in fiscal Q3 2024, against a decline of 44.9% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $417.9 million (Q2 2026), -$3.4 million (Q1 2026) and -$148.6 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 39.05 Bn | 35.05 Bn | 1.94 Bn | 1.19 Bn |
| 2 | Bunge Global | 19.96 Bn | 16.07 Bn | 1.68 Bn | 1.33 Bn |
| 3 | Tyson Foods | 19.47 Bn | 15.73 Bn | 921.00 Mn | 691.00 Mn |
| 4 | Jbs | 13.59 Bn | -19.68 Bn | 2.59 Bn | 1.24 Bn |
| 5 | Darling Ingredients | 9.39 Bn | 8.94 Bn | 503.37 Mn | 686.72 Mn |
| 6 | Smithfield Foods | 7.35 Bn | 2.30 Bn | 478.00 Mn | 375.00 Mn |
| 7 | Pilgrims Pride | 6.72 Bn | 4.54 Bn | 339.75 Mn | 190.73 Mn |
| 8 | Ingredion | 6.12 Bn | 2.30 Bn | 426.00 Mn | 243.00 Mn |
| 9 | Seaboard | 3.66 Bn | -1.18 Bn | 221.00 Mn | 183.00 Mn |
| 10 | Scotts Miracle-Gro | 3.25 Bn | 3.18 Bn | 365.90 Mn | 186.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 186.30 Mn |
| Mar 28, 2026 | 417.90 Mn |
| Dec 27, 2025 | -3.40 Mn |
| Sep 30, 2025 | -148.60 Mn |
| Jun 28, 2025 | 240.40 Mn |
| Mar 29, 2025 | 368.70 Mn |
| Dec 28, 2024 | -26.90 Mn |
| Sep 30, 2024 | -196.10 Mn |
| Jun 29, 2024 | 220.50 Mn |
| Mar 30, 2024 | 292.20 Mn |
| Dec 30, 2023 | -27.20 Mn |
| Sep 30, 2023 | -394.00 Mn |
| Jul 1, 2023 | 100.00 Mn |
| Apr 1, 2023 | 228.70 Mn |
| Dec 31, 2022 | -16.60 Mn |
| Sep 30, 2022 | -197.50 Mn |
| Jul 2, 2022 | -535.40 Mn |
| Apr 2, 2022 | 414.70 Mn |
| Jan 1, 2022 | -10.50 Mn |
| Sep 30, 2021 | -13.40 Mn |
API Access
Scotts Miracle-Gro EBITDA 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=ebitda&ticker=SMG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();