Seneca Foods (SENEA) Short-Term Debt repayments (2014 - 2026)
Seneca Foods (SENEA) reported Short-Term Debt repayments of $402,000 for fiscal Q1 2017 (quarter ended Jul 2, 2016), down 95.9% from $9.87 million a year earlier.
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Analysis
Seneca Foods (SENEA) Short-Term Debt repayments (2014 - 2026) Analysis & Trends
Dating back to fiscal Q3 2015, Seneca Foods' Short-Term Debt repayments record includes 5 quarters.
- Five-year quarterly Short-Term Debt repayments spans a low of -$1.11 million in fiscal Q3 2015 and a high of $9.87 million in fiscal Q1 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 977.00 Mn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | - |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | - |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | - |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | - |
| 10 | Seneca Foods | 1.14 Bn | 957.89 Mn | 61.58 Mn | -71.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | -71.51 Mn |
| Jun 27, 2026 | -586,000.00 |
| Mar 31, 2026 | -101.54 Mn |
| Dec 27, 2025 | -49.09 Mn |
| Sep 27, 2025 | -14.79 Mn |
| Jun 28, 2025 | -33.44 Mn |
| Dec 28, 2024 | -286.78 Mn |
| Sep 28, 2024 | -190.24 Mn |
| Jun 29, 2024 | -132.31 Mn |
| Dec 30, 2023 | -163.71 Mn |
| Sep 30, 2023 | -163.10 Mn |
| Jul 1, 2023 | -253.16 Mn |
| Mar 31, 2023 | -36.97 Mn |
| Jul 2, 2016 | 402,000.00 |
| Dec 26, 2015 | -402,000.00 |
| Sep 26, 2015 | 32,000.00 |
| Jun 27, 2015 | 9.87 Mn |
| Dec 27, 2014 | -1.11 Mn |
API Access
Seneca Foods Short-Term Debt repayments 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=short-term-debt-repayments&ticker=SENEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();