Scotts Miracle-Gro (SMG) EBITDA Margin (2009 - 2026)
Scotts Miracle-Gro (SMG) reported EBITDA Margin of 15.89% for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 4.84 percentage points from 20.74% a year earlier and down 12.74 percentage points from the prior quarter.
Scotts Miracle-Gro (SMG) EBITDA Margin (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Scotts Miracle-Gro's EBITDA Margin came in at 12.98%, up 1.39 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it was 12.70%, up 4.56 percentage points from FY2024.
- EBITDA Margin has increased for three consecutive fiscal years, though with a five-year change of -3.75 percentage points (FY2020 to FY2025).
- By fiscal year, EBITDA Margin came in at 8.15% in FY2024 (+10.45 pp), -2.31% in FY2023 (+6.07 pp), -8.38% in FY2022 (-24.96 pp) and 16.58% in FY2021 (+0.13 pp).
- Five-year quarterly EBITDA Margin spans a low of -105.21% in fiscal Q4 2023 and a high of 28.63% in fiscal Q2 2026.
- Year over year, EBITDA Margin gained in six of the last eight quarters, with an average year-over-year change of +11.00 percentage points.
- The high point for year-over-year EBITDA Margin in five years was fiscal Q4 2024 (a gain of 57.92 percentage points); the low point was fiscal Q3 2022 (a drop of 65.37 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 28.63% (Q2 2026), -0.96% (Q1 2026) and -29.88% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.74 Bn | 35.03 Bn | 1.94 Bn | 5.24% |
| 2 | Bunge Global | 20.95 Bn | 18.46 Bn | 1.68 Bn | 5.54% |
| 3 | Tyson Foods | 17.92 Bn | 14.28 Bn | 921.00 Mn | 4.98% |
| 4 | Jbs | 12.87 Bn | -20.24 Bn | 2.59 Bn | 5.17% |
| 5 | Darling Ingredients | 9.56 Bn | 9.16 Bn | 503.37 Mn | 39.76% |
| 6 | Smithfield Foods | 7.54 Bn | 2.49 Bn | 478.00 Mn | 10.14% |
| 7 | Pilgrims Pride | 6.69 Bn | 4.52 Bn | 339.75 Mn | 4.09% |
| 8 | Ingredion | 6.08 Bn | 2.26 Bn | 426.00 Mn | 13.14% |
| 9 | Seaboard | 3.94 Bn | -881.67 Mn | 221.00 Mn | 6.26% |
| 10 | Scotts Miracle-Gro | 2.82 Bn | 2.74 Bn | 365.90 Mn | 15.89% |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 15.89% |
| Mar 28, 2026 | 28.63% |
| Dec 27, 2025 | -0.96% |
| Sep 30, 2025 | -29.88% |
| Jun 28, 2025 | 20.74% |
| Mar 29, 2025 | 26.53% |
| Dec 28, 2024 | -7.34% |
| Sep 30, 2024 | -47.29% |
| Jun 29, 2024 | 18.34% |
| Mar 30, 2024 | 19.16% |
| Dec 30, 2023 | -6.63% |
| Sep 30, 2023 | -105.21% |
| Jul 1, 2023 | 8.94% |
| Apr 1, 2023 | 14.93% |
| Dec 31, 2022 | -3.15% |
| Sep 30, 2022 | -40.00% |
| Jul 2, 2022 | -45.14% |
| Apr 2, 2022 | 24.71% |
| Jan 1, 2022 | -1.86% |
| Sep 30, 2021 | -1.82% |
Scotts Miracle-Gro EBITDA Margin 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-margin&ticker=SMG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=SMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();