Seneca Foods (SENEA) Non-Current Debt (2010 - 2026)
Seneca Foods (SENEA) posted Non-Current Debt of $185.36 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), down 28.6% from $259.5 million a year earlier and down 22.5% from the prior quarter.
Seneca Foods (SENEA) Non-Current Debt (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Seneca Foods' Non-Current Debt came in at $239.06 million, down 5.8% from FY2025.
- Annual Non-Current Debt shows a five-year compound annual growth rate of 20.5% (FY2021 to FY2026).
- In prior fiscal years, Seneca Foods' Non-Current Debt was $253.82 million in FY2025 (-56.7%), $585.79 million in FY2024 (+35.4%), $432.7 million in FY2023 (+294.7%) and $109.62 million in FY2022 (+16.5%).
- The fiscal Q1 2027 figure stands as the lowest quarterly Non-Current Debt since fiscal Q1 2023.
- On a year-over-year basis, Non-Current Debt has declined in each of the last eight quarters, with an average decline of 32.9% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Debt in the past five years was fiscal Q4 2023, with growth of 294.7%; the weakest was fiscal Q4 2025, with a decline of 56.7%.
- According to Business Quant data, Non-Current Debt for the three prior fiscal quarters was $239.06 million (Q4 2026), $242.75 million (Q3 2026) and $246.44 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 9.46 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 16.46 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 4.68 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 17.62 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 12.37 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 3.60 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 6.39 Bn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 2.35 Bn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 588.70 Mn |
| 10 | Seneca Foods | 1.24 Bn | 1.05 Bn | 47.85 Mn | 185.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 185.36 Mn |
| Mar 31, 2026 | 239.06 Mn |
| Dec 27, 2025 | 242.75 Mn |
| Sep 27, 2025 | 246.44 Mn |
| Jun 28, 2025 | 259.50 Mn |
| Mar 31, 2025 | 253.82 Mn |
| Dec 28, 2024 | 298.70 Mn |
| Sep 28, 2024 | 406.61 Mn |
| Jun 29, 2024 | 473.07 Mn |
| Mar 31, 2024 | 585.79 Mn |
| Dec 30, 2023 | 611.35 Mn |
| Sep 30, 2023 | 492.69 Mn |
| Jul 1, 2023 | 414.89 Mn |
| Mar 31, 2023 | 432.70 Mn |
| Dec 31, 2022 | 399.95 Mn |
| Oct 1, 2022 | 316.35 Mn |
| Jul 2, 2022 | 167.09 Mn |
| Mar 31, 2022 | 109.62 Mn |
| Jan 1, 2022 | 123.81 Mn |
| Oct 2, 2021 | 142.78 Mn |
Seneca Foods Non-Current 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=non-current-debt&ticker=SENEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();