Seneca Foods (SENEA) Other Non-Current Liabilities (2010 - 2026)
Seneca Foods (SENEA) posted Other Non-Current Liabilities of $15.28 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 13.0% from $13.52 million a year earlier but down 5.6% from the prior quarter.
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Analysis
Seneca Foods (SENEA) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Seneca Foods' Other Non-Current Liabilities came in at $16.19 million, up 7.8% from FY2025.
- Annual Other Non-Current Liabilities has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 32.2% (FY2021 to FY2026).
- In prior fiscal years, Seneca Foods' Other Non-Current Liabilities was $15.02 million in FY2025 (+7.7%), $13.95 million in FY2024 (+283.2%), $3.64 million in FY2023 (-26.8%) and $4.97 million in FY2022 (+24.0%).
- Quarterly Other Non-Current Liabilities has run from a low of $3.16 million in fiscal Q3 2024 to a high of $16.19 million in fiscal Q4 2026 over five years.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last three quarters, with growth averaging 85.0% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was fiscal Q3 2025, with growth of 334.9%; the weakest was fiscal Q2 2023, with a decline of 34.6%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior fiscal quarters was $16.19 million (Q4 2026), $14.75 million (Q3 2026) and $13.56 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn |
| 10 | Seneca Foods | 1.21 Bn | 1.02 Bn | 47.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 15.28 Mn |
| Mar 31, 2026 | 16.19 Mn |
| Dec 27, 2025 | 14.75 Mn |
| Sep 27, 2025 | 13.56 Mn |
| Jun 28, 2025 | 13.52 Mn |
| Mar 31, 2025 | 15.02 Mn |
| Dec 28, 2024 | 13.75 Mn |
| Sep 28, 2024 | 13.71 Mn |
| Jun 29, 2024 | 13.29 Mn |
| Mar 31, 2024 | 13.95 Mn |
| Dec 30, 2023 | 3.16 Mn |
| Sep 30, 2023 | 3.36 Mn |
| Jul 1, 2023 | 3.50 Mn |
| Mar 31, 2023 | 3.64 Mn |
| Dec 31, 2022 | 3.93 Mn |
| Oct 1, 2022 | 4.04 Mn |
| Jul 2, 2022 | 4.76 Mn |
| Mar 31, 2022 | 4.97 Mn |
| Jan 1, 2022 | 5.58 Mn |
| Oct 2, 2021 | 6.18 Mn |
API Access
Seneca Foods Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=SENEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();