J&J Snack Foods (JJSF) Accumulated Expenses (2010 - 2026)
J&J Snack Foods (JJSF) posted Accumulated Expenses of $18.08 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 22.0% from $23.17 million a year earlier but up 46.6% from the prior quarter.
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Analysis
J&J Snack Foods (JJSF) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), J&J Snack Foods' Accumulated Expenses came in at $12.61 million, up 25.3% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- In prior fiscal years, J&J Snack Foods' Accumulated Expenses was $10.06 million in FY2024 (-29.2%), $14.21 million in FY2023 (+54.3%), $9.21 million in FY2022 (-15.9%) and $10.96 million in FY2021 (+47.6%).
- Quarterly Accumulated Expenses has run from a low of $6.46 million in fiscal Q2 2022 to a high of $23.17 million in fiscal Q3 2025 over five years.
- On a year-over-year basis, Accumulated Expenses increased in four of the last eight quarters, with growth averaging 0.3%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q3 2023, with growth of 121.4%; the weakest was fiscal Q4 2024, with a decline of 29.2%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $12.33 million (Q2 2026), $10.99 million (Q1 2026) and $12.61 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn |
| 10 | J&J Snack Foods | 1.53 Bn | 1.24 Bn | 151.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 18.08 Mn |
| Mar 28, 2026 | 12.33 Mn |
| Dec 27, 2025 | 10.99 Mn |
| Sep 27, 2025 | 12.61 Mn |
| Jun 28, 2025 | 23.17 Mn |
| Mar 29, 2025 | 10.29 Mn |
| Dec 28, 2024 | 11.42 Mn |
| Sep 28, 2024 | 10.06 Mn |
| Jun 29, 2024 | 20.96 Mn |
| Mar 30, 2024 | 8.96 Mn |
| Dec 30, 2023 | 13.14 Mn |
| Sep 30, 2023 | 14.21 Mn |
| Jun 24, 2023 | 22.41 Mn |
| Mar 25, 2023 | 10.45 Mn |
| Dec 24, 2022 | 9.64 Mn |
| Sep 24, 2022 | 9.21 Mn |
| Jun 25, 2022 | 10.12 Mn |
| Mar 26, 2022 | 6.46 Mn |
| Dec 25, 2021 | 13.31 Mn |
| Sep 25, 2021 | 10.96 Mn |
API Access
J&J Snack Foods 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=accumulated-expenses&ticker=JJSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "JJSF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=JJSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();