J&J Snack Foods (JJSF) Operating Expenses (2010 - 2026)
J&J Snack Foods (JJSF) recorded Operating Expenses of $104.74 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 17.1% from $89.45 million a year earlier and up 7.4% from the prior quarter.
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Analysis
J&J Snack Foods (JJSF) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, J&J Snack Foods' Operating Expenses came in at $416.37 million as of Jun 27, 2026, up 14.9% year-over-year; for FY2025 (ended Sep 27, 2025), it was $385.56 million, up 4.6% from FY2024.
- Annual Operating Expenses has increased for five straight fiscal years, with a five-year compound annual growth rate of 11.7% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $368.58 million in FY2024 (+2.3%), $360.35 million in FY2023 (+17.1%), $307.84 million in FY2022 (+35.2%) and $227.71 million in FY2021 (+2.9%).
- Quarterly Operating Expenses has ranged from $61.26 million in fiscal Q2 2022 to $118.77 million in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for four consecutive quarters, with growth averaging 5.6% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 51.3% in fiscal Q3 2022, against a decline of 8.4% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $97.49 million (Q2 2026), $95.38 million (Q1 2026) and $118.77 million (Q4 2025).
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 | J&J Snack Foods | 1.44 Bn | 1.14 Bn | 151.02 Mn | 104.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 104.74 Mn |
| Mar 28, 2026 | 97.49 Mn |
| Dec 27, 2025 | 95.38 Mn |
| Sep 27, 2025 | 118.77 Mn |
| Jun 28, 2025 | 89.45 Mn |
| Mar 29, 2025 | 89.68 Mn |
| Dec 28, 2024 | 87.66 Mn |
| Sep 28, 2024 | 95.69 Mn |
| Jun 29, 2024 | 97.65 Mn |
| Mar 30, 2024 | 90.34 Mn |
| Dec 30, 2023 | 84.90 Mn |
| Sep 30, 2023 | 104.04 Mn |
| Jun 24, 2023 | 94.59 Mn |
| Mar 25, 2023 | 80.19 Mn |
| Dec 24, 2022 | 81.53 Mn |
| Sep 24, 2022 | 94.24 Mn |
| Jun 25, 2022 | 87.82 Mn |
| Mar 26, 2022 | 61.26 Mn |
| Dec 25, 2021 | 64.53 Mn |
| Sep 25, 2021 | 66.47 Mn |
API Access
J&J Snack Foods 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=JJSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=JJSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();