J&J Snack Foods (JJSF) EBITDA (2010 - 2026)
J&J Snack Foods' EBITDA came in at $66.46 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 18.1% from $81.15 million a year earlier but up 200.5% from the prior quarter.
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Analysis
J&J Snack Foods (JJSF) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, J&J Snack Foods reported EBITDA of $141.39 million, down 26.7% year-over-year; for FY2025 (ended Sep 27, 2025), it was $164.97 million, down 15.5% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- Going back by fiscal year, EBITDA was $195.35 million in FY2024 (+9.0%), $179.18 million in FY2023 (+51.3%), $118.42 million in FY2022 (-3.9%) and $123.22 million in FY2021 (+67.7%).
- The five-year range for quarterly EBITDA is $17.23 million (fiscal Q2 2022) to $81.15 million (fiscal Q3 2025).
- Year-over-year, EBITDA has declined for four consecutive quarters, with an average decline of 15.1% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q4 2021 (growth of 106.6%), and the weakest in fiscal Q4 2025 (a decline of 46.6%).
- Business Quant data shows JJSF's EBITDA at $22.12 million (Q2 2026), $20.76 million (Q1 2026) and $32.05 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 2.30 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 778.74 Mn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | -6.17 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 773.40 Mn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 349.90 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 639.10 Mn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 177.33 Mn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 131.70 Mn |
| 10 | J&J Snack Foods | 1.44 Bn | 1.14 Bn | 151.02 Mn | 66.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 66.46 Mn |
| Mar 28, 2026 | 22.12 Mn |
| Dec 27, 2025 | 20.76 Mn |
| Sep 27, 2025 | 32.05 Mn |
| Jun 28, 2025 | 81.15 Mn |
| Mar 29, 2025 | 25.79 Mn |
| Dec 28, 2024 | 25.91 Mn |
| Sep 28, 2024 | 60.01 Mn |
| Jun 29, 2024 | 70.31 Mn |
| Mar 30, 2024 | 36.90 Mn |
| Dec 30, 2023 | 28.09 Mn |
| Sep 30, 2023 | 59.89 Mn |
| Jun 24, 2023 | 65.76 Mn |
| Mar 25, 2023 | 27.33 Mn |
| Dec 24, 2022 | 26.21 Mn |
| Sep 24, 2022 | 38.36 Mn |
| Jun 25, 2022 | 34.88 Mn |
| Mar 26, 2022 | 17.23 Mn |
| Dec 25, 2021 | 27.96 Mn |
| Sep 25, 2021 | 36.80 Mn |
API Access
J&J Snack Foods EBITDA 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=ebitda&ticker=JJSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=JJSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();