J&J Snack Foods (JJSF) Total Liabilities (2010 - 2026)
J&J Snack Foods' Total Liabilities came in at $463.81 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), up 4.5% from $444 million a year earlier and up 4.2% from the prior quarter.
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Analysis
J&J Snack Foods (JJSF) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), J&J Snack Foods' Total Liabilities was $414.81 million, up 1.6% from FY2024.
- Total Liabilities has increased in each of the last seven fiscal years, with a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- Going back by fiscal year, Total Liabilities was $408.13 million in FY2024 (+11.6%), $365.72 million in FY2023 (+3.4%), $353.8 million in FY2022 (+27.9%) and $276.57 million in FY2021 (+11.9%).
- The fiscal Q3 2026 figure represents the highest quarterly Total Liabilities in data going back to fiscal Q4 2010.
- Year-over-year, Total Liabilities has increased for 12 consecutive quarters, with growth averaging 3.7% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q3 2022 (growth of 63.3%), and the weakest in fiscal Q3 2023 (a decline of 4.0%).
- Business Quant data shows JJSF's Total Liabilities at $445.06 million (Q2 2026), $400.42 million (Q1 2026) and $414.81 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 68.14 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 44.56 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 9.41 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 36.95 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 22.81 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 8.90 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 10.45 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 5.43 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 3.37 Bn |
| 10 | J&J Snack Foods | 1.44 Bn | 1.14 Bn | 151.02 Mn | 463.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 463.81 Mn |
| Mar 28, 2026 | 445.06 Mn |
| Dec 27, 2025 | 400.42 Mn |
| Sep 27, 2025 | 414.81 Mn |
| Jun 28, 2025 | 444.00 Mn |
| Mar 29, 2025 | 422.56 Mn |
| Dec 28, 2024 | 399.95 Mn |
| Sep 28, 2024 | 408.13 Mn |
| Jun 29, 2024 | 442.76 Mn |
| Mar 30, 2024 | 419.95 Mn |
| Dec 30, 2023 | 380.10 Mn |
| Sep 30, 2023 | 365.72 Mn |
| Jun 24, 2023 | 417.93 Mn |
| Mar 25, 2023 | 366.67 Mn |
| Dec 24, 2022 | 367.81 Mn |
| Sep 24, 2022 | 353.80 Mn |
| Jun 25, 2022 | 435.34 Mn |
| Mar 26, 2022 | 273.35 Mn |
| Dec 25, 2021 | 265.91 Mn |
| Sep 25, 2021 | 276.57 Mn |
API Access
J&J Snack Foods Total Liabilities 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=total-liabilities&ticker=JJSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=JJSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();