J M Smucker (SJM) Operating Expenses (2009 - 2026)
J M Smucker's Operating Expenses was $411.1 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 7.2% from $383.4 million a year earlier and up 13.5% from the prior quarter.
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Analysis
J M Smucker (SJM) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, J M Smucker's Operating Expenses was $1.55 billion through Jul 31, 2026, down 0.4% year-over-year; for FY2026 (ended Apr 30, 2026), it was $1.52 billion, down 3.0% from FY2025.
- Operating Expenses shows a five-year compound annual growth rate of -0.3% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $1.56 billion in FY2025 (-0.7%), $1.58 billion in FY2024 (+8.0%), $1.46 billion in FY2023 (+6.7%) and $1.37 billion in FY2022 (-11.4%).
- The fiscal Q1 2027 figure marks the highest quarterly Operating Expenses since fiscal Q4 2024.
- Compared with a year earlier, Operating Expenses was higher in three of the last eight quarters, with an average decline of 2.6%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q1 2025 (growth of 26.7%); the worst was fiscal Q3 2025 (a decline of 20.2%).
- Per Business Quant data, SJM's Operating Expenses in the three fiscal quarters before Q1 2027 was $362.3 million (Q4 2026), $368.2 million (Q3 2026) and $403.8 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 2.01 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 628.91 Mn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 853.60 Mn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 441.80 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 411.10 Mn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 919.20 Mn |
| 10 | Conagra Brands | 6.75 Bn | 5.73 Bn | 704.10 Mn | 401.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 411.10 Mn |
| Apr 30, 2026 | 362.30 Mn |
| Jan 31, 2026 | 368.20 Mn |
| Oct 31, 2025 | 403.80 Mn |
| Jul 31, 2025 | 383.40 Mn |
| Apr 30, 2025 | 388.50 Mn |
| Jan 31, 2025 | 377.70 Mn |
| Oct 31, 2024 | 401.40 Mn |
| Jul 31, 2024 | 397.20 Mn |
| Apr 30, 2024 | 449.40 Mn |
| Jan 31, 2024 | 473.10 Mn |
| Oct 31, 2023 | 340.30 Mn |
| Jul 31, 2023 | 313.60 Mn |
| Apr 30, 2023 | 378.00 Mn |
| Jan 31, 2023 | 381.50 Mn |
| Oct 31, 2022 | 355.00 Mn |
| Jul 31, 2022 | 345.20 Mn |
| Apr 30, 2022 | 355.50 Mn |
| Jan 31, 2022 | 338.00 Mn |
| Oct 31, 2021 | 349.00 Mn |
API Access
J M Smucker Operating Expenses 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=operating-expenses&ticker=SJM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SJM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();