Seneca Foods (SENEA) Total Liabilities (2010 - 2026)
Seneca Foods (SENEA) reported Total Liabilities of $488.31 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), down 5.2% from $515.17 million a year earlier and down 0.7% from the prior quarter.
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Analysis
Seneca Foods (SENEA) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Seneca Foods posted Total Liabilities of $491.53 million, down 10.4% from FY2025.
- Total Liabilities has a five-year compound annual growth rate of 8.2% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $548.41 million in FY2025 (-31.5%), $801.1 million in FY2024 (+21.8%), $657.97 million in FY2023 (+81.1%) and $363.24 million in FY2022 (+9.6%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Total Liabilities since fiscal Q1 2023.
- Year over year, Total Liabilities has now declined in each of the last eight quarters, with an average decline of 20.3% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q4 2023 (growth of 81.1%); the low point was fiscal Q1 2026 (a decline of 34.0%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $491.53 million (Q4 2026), $508.64 million (Q3 2026) and $690.22 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 68.14 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 44.56 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 9.41 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 36.95 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 22.81 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 8.90 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 10.45 Bn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 5.43 Bn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 3.37 Bn |
| 10 | Seneca Foods | 1.24 Bn | 1.05 Bn | 47.85 Mn | 488.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 488.31 Mn |
| Mar 31, 2026 | 491.53 Mn |
| Dec 27, 2025 | 508.64 Mn |
| Sep 27, 2025 | 690.22 Mn |
| Jun 28, 2025 | 515.17 Mn |
| Mar 31, 2025 | 548.41 Mn |
| Dec 28, 2024 | 613.09 Mn |
| Sep 28, 2024 | 884.49 Mn |
| Jun 29, 2024 | 780.18 Mn |
| Mar 31, 2024 | 801.10 Mn |
| Dec 30, 2023 | 896.10 Mn |
| Sep 30, 2023 | 988.50 Mn |
| Jul 1, 2023 | 680.79 Mn |
| Mar 31, 2023 | 657.97 Mn |
| Dec 31, 2022 | 718.24 Mn |
| Oct 1, 2022 | 834.57 Mn |
| Jul 2, 2022 | 459.20 Mn |
| Mar 31, 2022 | 363.24 Mn |
| Jan 1, 2022 | 407.81 Mn |
| Oct 2, 2021 | 602.09 Mn |
API Access
Seneca Foods Total 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=total-liabilities&ticker=SENEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-liabilities&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();