Seneca Foods (SENEA) Interest Expenses (2010 - 2026)
Seneca Foods' Interest Expenses came in at $3.14 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), down 41.9% from $5.41 million a year earlier and down 19.8% from the prior quarter.
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Analysis
Seneca Foods (SENEA) Interest Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Seneca Foods reported Interest Expenses of $15.88 million, down 43.9% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $18.14 million, down 45.4% from FY2025.
- Interest Expenses carries a five-year compound annual growth rate of 24.3% (FY2021 to FY2026).
- Going back by fiscal year, Interest Expenses was $33.25 million in FY2025 (-2.3%), $34.02 million in FY2024 (+137.5%), $14.33 million in FY2023 (+153.9%) and $5.64 million in FY2022 (-7.9%).
- The fiscal Q1 2027 figure represents the lowest quarterly Interest Expenses since fiscal Q2 2023.
- Year-over-year, Interest Expenses has declined for seven consecutive quarters, with an average decline of 31.9% over the last eight quarters.
- The fastest year-over-year change in Interest Expenses over five years came in fiscal Q1 2024 (growth of 372.9%), and the weakest in fiscal Q2 2026 (a decline of 48.0%).
- Business Quant data shows SENEA's Interest Expenses at $3.92 million (Q4 2026), $4.13 million (Q3 2026) and $4.68 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 | Seneca Foods | 1.21 Bn | 1.02 Bn | 47.85 Mn | 3.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 3.14 Mn |
| Mar 31, 2026 | 3.92 Mn |
| Dec 27, 2025 | 4.13 Mn |
| Sep 27, 2025 | 4.68 Mn |
| Jun 28, 2025 | 5.41 Mn |
| Mar 31, 2025 | 6.05 Mn |
| Dec 28, 2024 | 7.84 Mn |
| Sep 28, 2024 | 9.01 Mn |
| Jun 29, 2024 | 10.35 Mn |
| Mar 31, 2024 | 10.87 Mn |
| Dec 30, 2023 | 9.39 Mn |
| Sep 30, 2023 | 7.19 Mn |
| Jul 1, 2023 | 6.57 Mn |
| Mar 31, 2023 | 6.29 Mn |
| Dec 31, 2022 | 4.28 Mn |
| Oct 1, 2022 | 2.37 Mn |
| Jul 2, 2022 | 1.39 Mn |
| Mar 31, 2022 | 1.46 Mn |
| Jan 1, 2022 | 1.51 Mn |
| Oct 2, 2021 | 1.34 Mn |
API Access
Seneca Foods 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=interest-expenses&ticker=SENEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "SENEA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();