J M Smucker (SJM) Other Accumulated Expenses (2010 - 2026)
J M Smucker's Other Accumulated Expenses was $515.4 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), down 7.6% from $557.6 million a year earlier and down 16.4% from the prior quarter.
Powered by 
Analysis
J M Smucker (SJM) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Other Accumulated Expenses at J M Smucker came in at $616.3 million, up 104.7% from FY2025.
- Other Accumulated Expenses shows a five-year compound annual growth rate of 25.2% (FY2021 to FY2026).
- In earlier fiscal years, Other Accumulated Expenses was $301.1 million in FY2025 (-15.4%), $356 million in FY2024 (+89.7%), $187.7 million in FY2023 (-3.1%) and $193.8 million in FY2022 (-3.4%).
- The fiscal Q1 2027 figure marks the lowest quarterly Other Accumulated Expenses since fiscal Q4 2025.
- Compared with a year earlier, Other Accumulated Expenses was higher in three of the last eight quarters, with growth averaging 16.8%.
- The best year-over-year quarter for Other Accumulated Expenses over five years was fiscal Q4 2026 (growth of 104.7%); the worst was fiscal Q3 2022 (a decline of 26.3%).
- Per Business Quant data, SJM's Other Accumulated Expenses in the three fiscal quarters before Q1 2027 was $616.3 million (Q4 2026), $546.2 million (Q3 2026) and $551.2 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn |
| 10 | Conagra Brands | 6.38 Bn | 5.69 Bn | 618.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 515.40 Mn |
| Apr 30, 2026 | 616.30 Mn |
| Jan 31, 2026 | 546.20 Mn |
| Oct 31, 2025 | 551.20 Mn |
| Jul 31, 2025 | 557.60 Mn |
| Apr 30, 2025 | 301.10 Mn |
| Jan 31, 2025 | 487.20 Mn |
| Oct 31, 2024 | 603.70 Mn |
| Jul 31, 2024 | 621.40 Mn |
| Apr 30, 2024 | 356.00 Mn |
| Jan 31, 2024 | 516.20 Mn |
| Oct 31, 2023 | 365.40 Mn |
| Jul 31, 2023 | 438.50 Mn |
| Apr 30, 2023 | 187.70 Mn |
| Jan 31, 2023 | 260.20 Mn |
| Oct 31, 2022 | 268.40 Mn |
| Jul 31, 2022 | 306.20 Mn |
| Apr 30, 2022 | 193.80 Mn |
| Jan 31, 2022 | 315.80 Mn |
| Oct 31, 2021 | 288.80 Mn |
API Access
J M Smucker Other Accumulated 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-accumulated-expenses&ticker=SJM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=SJM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();