Seneca Foods (SENEA) Total Debt (2010 - 2026)
Seneca Foods (SENEA) posted Total Debt of $210.46 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), down 25.9% from $283.92 million a year earlier and down 20.4% from the prior quarter.
Seneca Foods (SENEA) Total Debt (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Seneca Foods' Total Debt came in at $264.32 million, down 26.5% from FY2025.
- Annual Total Debt shows a five-year compound annual growth rate of 16.6% (FY2021 to FY2026).
- In prior fiscal years, Seneca Foods' Total Debt was $359.51 million in FY2025 (-42.5%), $624.8 million in FY2024 (+36.3%), $458.49 million in FY2023 (+238.0%) and $135.64 million in FY2022 (+10.8%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Total Debt since fiscal Q1 2023.
- On a year-over-year basis, Total Debt has declined in each of the last eight quarters, with an average decline of 33.4% over the last eight quarters.
- The strongest year-over-year quarter for Total Debt in the past five years was fiscal Q4 2023, with growth of 238.0%; the weakest was fiscal Q1 2026, with a decline of 52.2%.
- According to Business Quant data, Total Debt for the three prior fiscal quarters was $264.32 million (Q4 2026), $266.45 million (Q3 2026) and $270.49 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 37.32 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 21.45 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 5.61 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 19.00 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 13.62 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 4.93 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 6.74 Bn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 2.86 Bn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 591.70 Mn |
| 10 | Seneca Foods | 1.24 Bn | 1.05 Bn | 47.85 Mn | 210.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 210.46 Mn |
| Mar 31, 2026 | 264.32 Mn |
| Dec 27, 2025 | 266.45 Mn |
| Sep 27, 2025 | 270.49 Mn |
| Jun 28, 2025 | 283.92 Mn |
| Mar 31, 2025 | 359.51 Mn |
| Dec 28, 2024 | 405.27 Mn |
| Sep 28, 2024 | 514.50 Mn |
| Jun 29, 2024 | 594.43 Mn |
| Mar 31, 2024 | 624.80 Mn |
| Dec 30, 2023 | 641.93 Mn |
| Sep 30, 2023 | 524.27 Mn |
| Jul 1, 2023 | 447.51 Mn |
| Mar 31, 2023 | 458.49 Mn |
| Dec 31, 2022 | 421.29 Mn |
| Oct 1, 2022 | 338.41 Mn |
| Jul 2, 2022 | 192.11 Mn |
| Mar 31, 2022 | 135.64 Mn |
| Jan 1, 2022 | 150.92 Mn |
| Oct 2, 2021 | 170.89 Mn |
Seneca Foods Total Debt 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-debt&ticker=SENEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();