J M Smucker (SJM) Other Operating Expenses (2010 - 2026)
J M Smucker (SJM) posted Other Operating Expenses of $1 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 77.8% from $4.5 million a year earlier and down 78.3% from the prior quarter.
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Analysis
J M Smucker (SJM) Other Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Other Operating Expenses at J M Smucker was $12.2 million, down 28.7% year-over-year; for FY2026 (ended Apr 30, 2026), it was $15.7 million, down 13.3% from FY2025.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 35.8% (FY2021 to FY2026).
- In prior fiscal years, J M Smucker's Other Operating Expenses was $18.1 million in FY2025, -$29.2 million in FY2024, $40.8 million in FY2023 (-26.9%) and $55.8 million in FY2022.
- The fiscal Q1 2027 figure stands as the lowest quarterly Other Operating Expenses since fiscal Q4 2025.
- On a year-over-year basis, Other Operating Expenses increased in two of the last five quarters, with growth averaging 31.6%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was fiscal Q3 2025, with growth of 258.8%; the weakest was fiscal Q1 2024, with a decline of 92.1%.
- According to Business Quant data, Other Operating Expenses for the three prior fiscal quarters was $4.6 million (Q4 2026), $4 million (Q3 2026) and $2.6 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.00 Mn |
| Apr 30, 2026 | 4.60 Mn |
| Jan 31, 2026 | 4.00 Mn |
| Oct 31, 2025 | 2.60 Mn |
| Jul 31, 2025 | 4.50 Mn |
| Apr 30, 2025 | -1.20 Mn |
| Jan 31, 2025 | 12.20 Mn |
| Oct 31, 2024 | 1.60 Mn |
| Jul 31, 2024 | 5.50 Mn |
| Apr 30, 2024 | -1.90 Mn |
| Jan 31, 2024 | 3.40 Mn |
| Oct 31, 2023 | -31.60 Mn |
| Jul 31, 2023 | 2.10 Mn |
| Apr 30, 2023 | 10.70 Mn |
| Jan 31, 2023 | -800,000.00 |
| Oct 31, 2022 | 2.90 Mn |
| Jul 31, 2022 | 26.60 Mn |
| Apr 30, 2022 | 38.70 Mn |
| Jan 31, 2022 | 11.20 Mn |
| Oct 31, 2021 | 4.70 Mn |
API Access
J M Smucker Other 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=other-operating-expenses&ticker=SJM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=SJM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();