J&J Snack Foods (JJSF) Total Non-Current Liabilities (2010 - 2026)
J&J Snack Foods (JJSF) recorded Total Non-Current Liabilities of $457.04 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 4.3% from $438.23 million a year earlier and up 4.2% from the prior quarter.
J&J Snack Foods (JJSF) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), J&J Snack Foods reported Total Non-Current Liabilities of $408.75 million, up 1.4% from FY2024.
- Annual Total Non-Current Liabilities has increased for seven straight fiscal years, with a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- Across earlier fiscal years, Total Non-Current Liabilities came in at $403.09 million in FY2024 (+11.5%), $361.49 million in FY2023 (+3.2%), $350.16 million in FY2022 (+26.8%) and $276.16 million in FY2021 (+12.0%).
- The fiscal Q3 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to fiscal Q4 2010.
- On a year-over-year basis, Total Non-Current Liabilities rose in seven of the last eight quarters, with growth averaging 3.5%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 62.2% in fiscal Q3 2022, against a decline of 4.1% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $438.53 million (Q2 2026), $394.12 million (Q1 2026) and $408.75 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 34.56 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 42.64 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 8.76 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 35.62 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 21.57 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 8.50 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 8.16 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 5.23 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 3.32 Bn |
| 10 | J&J Snack Foods | 1.44 Bn | 1.14 Bn | 151.02 Mn | 457.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 457.04 Mn |
| Mar 28, 2026 | 438.53 Mn |
| Dec 27, 2025 | 394.12 Mn |
| Sep 27, 2025 | 408.75 Mn |
| Jun 28, 2025 | 438.23 Mn |
| Mar 29, 2025 | 417.02 Mn |
| Dec 28, 2024 | 394.66 Mn |
| Sep 28, 2024 | 403.09 Mn |
| Jun 29, 2024 | 438.01 Mn |
| Mar 30, 2024 | 415.49 Mn |
| Dec 30, 2023 | 375.58 Mn |
| Sep 30, 2023 | 361.49 Mn |
| Jun 24, 2023 | 414.02 Mn |
| Mar 25, 2023 | 363.06 Mn |
| Dec 24, 2022 | 364.24 Mn |
| Sep 24, 2022 | 350.16 Mn |
| Jun 25, 2022 | 431.68 Mn |
| Mar 26, 2022 | 272.89 Mn |
| Dec 25, 2021 | 265.48 Mn |
| Sep 25, 2021 | 276.16 Mn |
J&J Snack Foods Total Non-Current 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-non-current-liabilities&ticker=JJSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=JJSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();