Seneca Foods (SENEA) Total Current Liabilities (2010 - 2026)
Seneca Foods (SENEA) posted Total Current Liabilities of $208.18 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 16.7% from $178.35 million a year earlier and up 35.2% from the prior quarter.
Seneca Foods (SENEA) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Seneca Foods' Total Current Liabilities came in at $153.93 million, down 28.3% from FY2025.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of -0.5% (FY2021 to FY2026).
- In prior fiscal years, Seneca Foods' Total Current Liabilities was $214.56 million in FY2025 (+42.1%), $151.04 million in FY2024 (-3.3%), $156.19 million in FY2023 (-9.8%) and $173.16 million in FY2022 (+9.5%).
- Quarterly Total Current Liabilities has run from a low of $151.04 million in fiscal Q4 2024 to a high of $445.22 million in fiscal Q2 2023 over five years.
- On a year-over-year basis, Total Current Liabilities increased in three of the last eight quarters, with an average decline of 3.8%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was fiscal Q4 2025, with growth of 42.1%; the weakest was fiscal Q1 2026, with a decline of 28.5%.
- According to Business Quant data, Total Current Liabilities for the three prior fiscal quarters was $153.93 million (Q4 2026), $184.48 million (Q3 2026) and $362.87 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 33.58 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 21.59 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 3.35 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 8.72 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 6.94 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 3.57 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 2.29 Bn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 1.87 Bn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 2.20 Bn |
| 10 | Seneca Foods | 1.24 Bn | 1.05 Bn | 47.85 Mn | 208.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 208.18 Mn |
| Mar 31, 2026 | 153.93 Mn |
| Dec 27, 2025 | 184.48 Mn |
| Sep 27, 2025 | 362.87 Mn |
| Jun 28, 2025 | 178.35 Mn |
| Mar 31, 2025 | 214.56 Mn |
| Dec 28, 2024 | 243.87 Mn |
| Sep 28, 2024 | 407.99 Mn |
| Jun 29, 2024 | 249.51 Mn |
| Mar 31, 2024 | 151.04 Mn |
| Dec 30, 2023 | 224.05 Mn |
| Sep 30, 2023 | 432.82 Mn |
| Jul 1, 2023 | 200.20 Mn |
| Mar 31, 2023 | 156.19 Mn |
| Dec 31, 2022 | 245.32 Mn |
| Oct 1, 2022 | 445.22 Mn |
| Jul 2, 2022 | 215.95 Mn |
| Mar 31, 2022 | 173.16 Mn |
| Jan 1, 2022 | 199.94 Mn |
| Oct 2, 2021 | 372.16 Mn |
Seneca Foods Total 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=total-current-liabilities&ticker=SENEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-current-liabilities&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();