J&J Snack Foods (JJSF) Operating Leases (2019 - 2026)
J&J Snack Foods' Operating Leases came in at $138.58 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 3.7% from $143.98 million a year earlier and down 0.1% from the prior quarter.
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Analysis
J&J Snack Foods (JJSF) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), J&J Snack Foods' Operating Leases was $140.02 million, down 0.5% from FY2024.
- Operating Leases carries a five-year compound annual growth rate of 24.0% (FY2020 to FY2025).
- Going back by fiscal year, Operating Leases was $140.75 million in FY2024 (+81.3%), $77.63 million in FY2023 (+82.0%), $42.66 million in FY2022 (-8.4%) and $46.56 million in FY2021 (-2.4%).
- The five-year range for quarterly Operating Leases is $41.64 million (fiscal Q2 2023) to $146.51 million (fiscal Q2 2025).
- Year-over-year, Operating Leases has declined for four consecutive quarters, with growth averaging 11.4% over the last eight quarters.
- The fastest year-over-year change in Operating Leases over five years came in fiscal Q2 2024 (growth of 240.3%), and the weakest in fiscal Q1 2023 (a decline of 8.9%).
- Business Quant data shows JJSF's Operating Leases at $138.74 million (Q2 2026), $137.6 million (Q1 2026) and $140.02 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn |
| 10 | J&J Snack Foods | 1.44 Bn | 1.14 Bn | 151.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 138.58 Mn |
| Mar 28, 2026 | 138.74 Mn |
| Dec 27, 2025 | 137.60 Mn |
| Sep 27, 2025 | 140.02 Mn |
| Jun 28, 2025 | 143.98 Mn |
| Mar 29, 2025 | 146.51 Mn |
| Dec 28, 2024 | 140.02 Mn |
| Sep 28, 2024 | 140.75 Mn |
| Jun 29, 2024 | 140.72 Mn |
| Mar 30, 2024 | 141.73 Mn |
| Dec 30, 2023 | 121.63 Mn |
| Sep 30, 2023 | 77.63 Mn |
| Jun 24, 2023 | 73.36 Mn |
| Mar 25, 2023 | 41.64 Mn |
| Dec 24, 2022 | 41.88 Mn |
| Sep 24, 2022 | 42.66 Mn |
| Jun 25, 2022 | 46.02 Mn |
| Mar 26, 2022 | 45.50 Mn |
| Dec 25, 2021 | 45.97 Mn |
| Sep 25, 2021 | 46.56 Mn |
API Access
J&J Snack Foods Operating Leases 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-leases&ticker=JJSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=JJSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();