J&J Snack Foods (JJSF) Non Operating Interest Expenses (2010 - 2026)
J&J Snack Foods (JJSF) recorded Non Operating Interest Expenses of $965,000 in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 118.8% from $441,000 a year earlier and up 219.5% from the prior quarter.
J&J Snack Foods (JJSF) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, J&J Snack Foods' Non Operating Interest Expenses came in at $2.16 million as of Jun 27, 2026, up 109.4% year-over-year; for FY2025 (ended Sep 27, 2025), it was $1.49 million, down 18.2% from FY2024.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of 77.8% (FY2020 to FY2025).
- Across earlier fiscal years, Non Operating Interest Expenses came in at $1.83 million in FY2024 (-61.5%), $4.75 million in FY2023 (+363.1%), $1.03 million in FY2022 and $7,000 in FY2021 (-91.7%).
- The fiscal Q3 2026 figure is the highest quarterly Non Operating Interest Expenses since fiscal Q4 2023.
- On a year-over-year basis, Non Operating Interest Expenses rose in three of the last eight quarters, with growth averaging 32.9%.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 742.3% in fiscal Q3 2023, against a decline of 80.2% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $302,000 (Q2 2026), $139,000 (Q1 2026) and $755,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | - |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -31.00 Mn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 62.70 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 19.64 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | - |
| 10 | J&J Snack Foods | 1.42 Bn | 1.13 Bn | 151.02 Mn | 965,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 965,000.00 |
| Mar 28, 2026 | 302,000.00 |
| Dec 27, 2025 | 139,000.00 |
| Sep 27, 2025 | 755,000.00 |
| Jun 28, 2025 | 441,000.00 |
| Mar 29, 2025 | 85,000.00 |
| Dec 28, 2024 | 212,000.00 |
| Sep 28, 2024 | 294,000.00 |
| Jun 29, 2024 | 543,000.00 |
| Mar 30, 2024 | 429,000.00 |
| Dec 30, 2023 | 560,000.00 |
| Sep 30, 2023 | 1.05 Mn |
| Jun 24, 2023 | 1.31 Mn |
| Mar 25, 2023 | 1.33 Mn |
| Dec 24, 2022 | 1.05 Mn |
| Sep 24, 2022 | 794,000.00 |
| Jun 25, 2022 | 156,000.00 |
| Mar 26, 2022 | 57,000.00 |
| Dec 25, 2021 | 18,000.00 |
| Sep 25, 2021 | -12,000.00 |
J&J Snack Foods Non Operating Interest Expenses 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-operating-interest-expenses&ticker=JJSF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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-operating-interest-expenses&ticker=JJSF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();