Scotts Miracle-Gro (SMG) EBIT (2009 - 2026)
Scotts Miracle-Gro's EBIT came in at $169.6 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 23.5% from $221.8 million a year earlier and down 57.8% from the prior quarter.
Scotts Miracle-Gro (SMG) EBIT (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Scotts Miracle-Gro reported EBIT of $382.5 million, up 23.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $358.6 million, up 71.7% from FY2024.
- EBIT carries a five-year compound annual growth rate of -9.3% (FY2020 to FY2025).
- Going back by fiscal year, EBIT was $208.8 million in FY2024, -$174.4 million in FY2023, -$434 million in FY2022 and $723 million in FY2021 (+23.5%).
- The five-year range for quarterly EBIT is -$562.5 million (fiscal Q3 2022) to $401.8 million (fiscal Q2 2026).
- Year-over-year, EBIT increased in three of the last four quarters, with growth averaging 7.7%.
- The fastest year-over-year change in EBIT over five years came in fiscal Q3 2024 (growth of 158.9%), and the weakest in fiscal Q2 2023 (a decline of 46.8%).
- Business Quant data shows SMG's EBIT at $401.8 million (Q2 2026), -$21.8 million (Q1 2026) and -$167.1 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.74 Bn | 35.03 Bn | 1.94 Bn | 896.00 Mn |
| 2 | Bunge Global | 20.95 Bn | 18.46 Bn | 1.68 Bn | 1.08 Bn |
| 3 | Tyson Foods | 17.92 Bn | 14.28 Bn | 921.00 Mn | 362.00 Mn |
| 4 | Jbs | 12.87 Bn | -20.24 Bn | 2.59 Bn | 597.11 Mn |
| 5 | Darling Ingredients | 9.56 Bn | 9.16 Bn | 503.37 Mn | 555.24 Mn |
| 6 | Smithfield Foods | 7.54 Bn | 2.49 Bn | 478.00 Mn | 290.00 Mn |
| 7 | Pilgrims Pride | 6.69 Bn | 4.52 Bn | 339.75 Mn | 65.95 Mn |
| 8 | Ingredion | 6.08 Bn | 2.26 Bn | 426.00 Mn | 188.00 Mn |
| 9 | Seaboard | 3.94 Bn | -881.67 Mn | 221.00 Mn | 100.00 Mn |
| 10 | Scotts Miracle-Gro | 2.82 Bn | 2.74 Bn | 365.90 Mn | 169.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 169.60 Mn |
| Mar 28, 2026 | 401.80 Mn |
| Dec 27, 2025 | -21.80 Mn |
| Sep 30, 2025 | -167.10 Mn |
| Jun 28, 2025 | 221.80 Mn |
| Mar 29, 2025 | 349.70 Mn |
| Dec 28, 2024 | -45.80 Mn |
| Sep 30, 2024 | -216.10 Mn |
| Jun 29, 2024 | 200.10 Mn |
| Mar 30, 2024 | 272.10 Mn |
| Dec 30, 2023 | -47.30 Mn |
| Sep 30, 2023 | -416.10 Mn |
| Jul 1, 2023 | 77.30 Mn |
| Apr 1, 2023 | 206.20 Mn |
| Dec 31, 2022 | -41.80 Mn |
| Sep 30, 2022 | -223.90 Mn |
| Jul 2, 2022 | -562.50 Mn |
| Apr 2, 2022 | 387.90 Mn |
| Jan 1, 2022 | -35.40 Mn |
| Sep 30, 2021 | -37.20 Mn |
Scotts Miracle-Gro EBIT 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=ebit&ticker=SMG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=SMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();