J M Smucker (SJM) EBITDA Margin (2009 - 2026)
J M Smucker (SJM) recorded EBITDA Margin of 28.80% in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 20.24 percentage points from 8.56% a year earlier and up 3.27 percentage points from the prior quarter.
J M Smucker (SJM) EBITDA Margin (2009 - 2026) Analysis & Trends
On a TTM basis, J M Smucker's EBITDA Margin came in at 15.02% as of Jul 31, 2026, up 20.40 percentage points year-over-year; for FY2026 (ended Apr 30, 2026), it came in at 10.13%, up 12.10 percentage points from FY2025.
- Annual EBITDA Margin has a five-year change of -12.85 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA Margin came in at -1.96% in FY2025 (-23.20 pp), 21.23% in FY2024 (+14.33 pp), 6.90% in FY2023 (-11.64 pp) and 18.54% in FY2022 (-4.44 pp).
- The fiscal Q1 2027 figure is the highest quarterly EBITDA Margin in data going back to fiscal Q1 2010.
- On a year-over-year basis, EBITDA Margin has increased for four consecutive quarters, with an average year-over-year change of -3.06 percentage points over the last eight quarters.
- Peak year-over-year performance for EBITDA Margin in the last five years was a gain of 48.30 percentage points in fiscal Q4 2024, against a drop of 46.26 percentage points in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 25.52% (Q4 2026), -17.28% (Q3 2026) and 24.11% (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 141.60 Bn | 93.06 Bn | - | - |
| 2 | Mondelez International | 80.80 Bn | 74.07 Bn | 3.99 Bn | 24.54% |
| 3 | Hershey | 34.31 Bn | 30.56 Bn | 1.26 Bn | 27.94% |
| 4 | Kraft Heinz | 27.96 Bn | 14.37 Bn | 2.03 Bn | -98.53% |
| 5 | General Mills | 17.70 Bn | 15.34 Bn | 1.49 Bn | 17.62% |
| 6 | J M Smucker | 13.71 Bn | 13.49 Bn | 979.60 Mn | 28.80% |
| 7 | Mccormick | 12.54 Bn | 11.61 Bn | 794.90 Mn | 14.50% |
| 8 | Hormel Foods | 11.15 Bn | 7.82 Bn | 471.52 Mn | 5.99% |
| 9 | Chewy | 8.61 Bn | 5.90 Bn | 1.01 Bn | 3.95% |
| 10 | Lamb Weston Holdings | 7.36 Bn | 6.99 Bn | 266.50 Mn | 10.96% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 28.80% |
| Apr 30, 2026 | 25.52% |
| Jan 31, 2026 | -17.28% |
| Oct 31, 2025 | 24.11% |
| Jul 31, 2025 | 8.56% |
| Apr 30, 2025 | -22.19% |
| Jan 31, 2025 | -21.59% |
| Oct 31, 2024 | 13.11% |
| Jul 31, 2024 | 22.52% |
| Apr 30, 2024 | 24.07% |
| Jan 31, 2024 | 18.87% |
| Oct 31, 2023 | 20.19% |
| Jul 31, 2023 | 21.80% |
| Apr 30, 2023 | -24.22% |
| Jan 31, 2023 | 19.55% |
| Oct 31, 2022 | 18.42% |
| Jul 31, 2022 | 15.50% |
| Apr 30, 2022 | 20.46% |
| Jan 31, 2022 | 12.92% |
| Oct 31, 2021 | 20.86% |
J M Smucker 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=SJM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "SJM", "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=SJM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();