J&J Snack Foods (JJSF) Total Current Liabilities (2010 - 2026)
J&J Snack Foods (JJSF) recorded Total Current Liabilities of $197.32 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), down 3.7% from $204.82 million a year earlier and down 4.9% from the prior quarter.
J&J Snack Foods (JJSF) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), J&J Snack Foods reported Total Current Liabilities of $175.67 million, up 0.9% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- Across earlier fiscal years, Total Current Liabilities came in at $174.07 million in FY2024 (-0.5%), $174.94 million in FY2023 (-3.8%), $181.84 million in FY2022 (+8.5%) and $167.63 million in FY2021 (+25.0%).
- Quarterly Total Current Liabilities has ranged from $158.1 million in fiscal Q1 2022 to $207.5 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Total Current Liabilities rose in five of the last eight quarters, with growth averaging 1.9%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 25.0% in fiscal Q4 2021, against a decline of 5.7% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $207.5 million (Q2 2026), $163.93 million (Q1 2026) and $175.67 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 33.58 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 21.59 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 3.35 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 8.72 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 6.94 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 3.57 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 2.29 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 1.87 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 2.20 Bn |
| 10 | J&J Snack Foods | 1.44 Bn | 1.14 Bn | 151.02 Mn | 197.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 197.32 Mn |
| Mar 28, 2026 | 207.50 Mn |
| Dec 27, 2025 | 163.93 Mn |
| Sep 27, 2025 | 175.67 Mn |
| Jun 28, 2025 | 204.82 Mn |
| Mar 29, 2025 | 182.19 Mn |
| Dec 28, 2024 | 162.63 Mn |
| Sep 28, 2024 | 174.07 Mn |
| Jun 29, 2024 | 203.19 Mn |
| Mar 30, 2024 | 174.60 Mn |
| Dec 30, 2023 | 165.32 Mn |
| Sep 30, 2023 | 174.94 Mn |
| Jun 24, 2023 | 187.58 Mn |
| Mar 25, 2023 | 159.11 Mn |
| Dec 24, 2022 | 160.18 Mn |
| Sep 24, 2022 | 181.84 Mn |
| Jun 25, 2022 | 198.99 Mn |
| Mar 26, 2022 | 165.72 Mn |
| Dec 25, 2021 | 158.10 Mn |
| Sep 25, 2021 | 167.63 Mn |
J&J Snack Foods Total 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-current-liabilities&ticker=JJSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=JJSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();