Seneca Foods (SENEA) Long-Term Debt Repayments (2010 - 2026)
Seneca Foods (SENEA) reported Long-Term Debt Repayments of $54.43 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), down 36.3% from $85.4 million a year earlier.
Seneca Foods (SENEA) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Seneca Foods' Long-Term Debt Repayments came in at $70.58 million, down 89.2% year-over-year; for FY2026 (ended Mar 31, 2026), it was $101.54 million, down 85.4% from FY2025.
- Long-Term Debt Repayments has a five-year compound annual growth rate of -29.8% (FY2021 to FY2026).
- By fiscal year, Long-Term Debt Repayments came in at $697.68 million in FY2025 (-4.0%), $727.02 million in FY2024 (+17.8%), $616.94 million in FY2023 (+62.8%) and $379.01 million in FY2022 (-36.5%).
- Five-year quarterly Long-Term Debt Repayments spans a low of $4.22 million in fiscal Q4 2026 and a high of $286.78 million in fiscal Q3 2025.
- Year over year, Long-Term Debt Repayments has now declined in each of the last six quarters, with an average decline of 38.8% over the last eight quarters.
- The high point for year-over-year Long-Term Debt Repayments in five years was fiscal Q1 2023 (growth of 574.8%); the low point was fiscal Q2 2026 (a decline of 97.7%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $4.22 million (Q4 2026), $7.52 million (Q3 2026) and $4.4 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 146.13 Bn | 97.59 Bn | - | - |
| 2 | Mondelez International | 83.52 Bn | 76.79 Bn | 3.99 Bn | 42.00 Mn |
| 3 | Hershey | 35.34 Bn | 31.58 Bn | 1.26 Bn | 1.51 Mn |
| 4 | Kraft Heinz | 29.67 Bn | 16.09 Bn | 2.03 Bn | - |
| 5 | General Mills | 18.81 Bn | 16.45 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 14.20 Bn | 13.99 Bn | 979.60 Mn | - |
| 7 | Mccormick | 13.07 Bn | 12.13 Bn | 794.90 Mn | 2.30 Mn |
| 8 | Hormel Foods | 11.74 Bn | 8.40 Bn | 471.52 Mn | 1.77 Mn |
| 9 | Chewy | 9.07 Bn | 6.36 Bn | 1.01 Bn | 220.00 Mn |
| 10 | Seneca Foods | 1.11 Bn | 925.90 Mn | 47.85 Mn | 55.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 55.74 Mn |
| Mar 31, 2026 | 106.67 Mn |
| Dec 27, 2025 | -42.76 Mn |
| Sep 27, 2025 | 20.23 Mn |
| Jun 28, 2025 | 119.85 Mn |
| Mar 31, 2025 | 94.75 Mn |
| Dec 28, 2024 | 293.14 Mn |
| Sep 28, 2024 | 196.43 Mn |
| Jun 29, 2024 | 138.45 Mn |
| Mar 31, 2024 | 153.58 Mn |
| Dec 30, 2023 | 170.30 Mn |
| Sep 30, 2023 | 170.08 Mn |
| Jul 1, 2023 | 260.24 Mn |
| Mar 31, 2023 | 131.72 Mn |
| Dec 31, 2022 | 202.02 Mn |
| Oct 1, 2022 | 143.38 Mn |
| Jul 2, 2022 | 154.14 Mn |
| Mar 31, 2022 | 136.69 Mn |
| Jan 1, 2022 | 183.11 Mn |
| Oct 2, 2021 | 46.80 Mn |
Seneca Foods Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=SENEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();