J M Smucker (SJM) EBITDA (2009 - 2026)
J M Smucker's EBITDA came in at $639.1 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 253.5% from $180.8 million a year earlier and up 10.4% from the prior quarter.
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Analysis
J M Smucker (SJM) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, J M Smucker reported EBITDA of $1.38 billion; for FY2026 (ended Apr 30, 2026), it came in at $917.2 million.
- EBITDA carries a five-year compound annual growth rate of -13.0% (FY2021 to FY2026).
- Going back by fiscal year, EBITDA was -$171.4 million in FY2025, $1.74 billion in FY2024 (+195.1%), $588.5 million in FY2023 (-60.3%) and $1.48 billion in FY2022 (-19.4%).
- The fiscal Q1 2027 figure represents the highest quarterly EBITDA in data going back to fiscal Q1 2010.
- Year-over-year, EBITDA increased in two of the last four quarters, with growth averaging 64.0%.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q1 2027 (growth of 253.5%), and the weakest in fiscal Q1 2026 (a decline of 62.2%).
- Business Quant data shows SJM's EBITDA at $578.9 million (Q4 2026), -$404.3 million (Q3 2026) and $561.8 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 2.30 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 778.74 Mn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | -6.17 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 773.40 Mn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 349.90 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 639.10 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 177.33 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 131.70 Mn |
| 10 | Conagra Brands | 6.78 Bn | 5.76 Bn | 704.10 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 639.10 Mn |
| Apr 30, 2026 | 578.90 Mn |
| Jan 31, 2026 | -404.30 Mn |
| Oct 31, 2025 | 561.80 Mn |
| Jul 31, 2025 | 180.80 Mn |
| Apr 30, 2025 | -475.70 Mn |
| Jan 31, 2025 | -471.90 Mn |
| Oct 31, 2024 | 297.70 Mn |
| Jul 31, 2024 | 478.50 Mn |
| Apr 30, 2024 | 531.00 Mn |
| Jan 31, 2024 | 420.60 Mn |
| Oct 31, 2023 | 391.50 Mn |
| Jul 31, 2023 | 393.50 Mn |
| Apr 30, 2023 | -541.30 Mn |
| Jan 31, 2023 | 433.30 Mn |
| Oct 31, 2022 | 406.10 Mn |
| Jul 31, 2022 | 290.40 Mn |
| Apr 30, 2022 | 416.10 Mn |
| Jan 31, 2022 | 265.80 Mn |
| Oct 31, 2021 | 427.70 Mn |
API Access
J M Smucker 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=SJM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=SJM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();