J&J Snack Foods (JJSF) Net Long-Term Debt Issued (Repaid) (2009 - 2026)
J&J Snack Foods' Non-Current Debt was $28 million in fiscal Q3 2026 (quarter ended Jun 27, 2026).
Analysis
J&J Snack Foods (JJSF) Net Long-Term Debt Issued (Repaid) (2009 - 2026) Analysis & Trends
At the end of FY2023 (ended Sep 30, 2023), Non-Current Debt at J&J Snack Foods came in at $27 million, down 50.9% from FY2022.
- In earlier fiscal years, Non-Current Debt was $55 million in FY2022.
- The fiscal Q3 2026 figure marks the highest quarterly Non-Current Debt since fiscal Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | -967.00 Mn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | -501.66 Mn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | -1.00 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | -1.70 Mn |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | -1.77 Mn |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | -220.00 Mn |
| 10 | J&J Snack Foods | 1.67 Bn | 1.37 Bn | 151.02 Mn | -104,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | -104,000.00 |
| Mar 28, 2026 | -132,000.00 |
| Dec 27, 2025 | -117,000.00 |
| Sep 27, 2025 | -56,000.00 |
| Jun 28, 2025 | -61,000.00 |
| Mar 29, 2025 | -79,000.00 |
| Dec 28, 2024 | -42,000.00 |
| Sep 28, 2024 | -31,000.00 |
| Jun 29, 2024 | -10,000.00 |
| Mar 30, 2024 | -25,000.00 |
| Dec 30, 2023 | -85,000.00 |
| Sep 30, 2023 | -30,000.00 |
| Jun 24, 2023 | -79,000.00 |
| Mar 25, 2023 | -32,000.00 |
| Dec 24, 2022 | -39,000.00 |
| Sep 24, 2022 | 129,000.00 |
| Jun 25, 2022 | 39,000.00 |
| Mar 26, 2022 | 37,000.00 |
| Dec 25, 2021 | 74,000.00 |
| Sep 25, 2021 | -96,000.00 |
API Access
J&J Snack Foods Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=JJSF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=JJSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();