Seneca Foods (SENEA) Pension (2016 - 2026)
Seneca Foods' Pension was $800,000 in fiscal Q4 2026 (quarter ended Mar 31, 2026), down 20.0% from $1 million a year earlier.
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Analysis
Seneca Foods (SENEA) Pension (2016 - 2026) Analysis & Trends
From fiscal Q2 2017 onward, Seneca Foods has reported Pension for 23 quarters.
- Pension shows a four-year compound annual growth rate of -19.4% (FY2022 to FY2026).
- In earlier fiscal years, Pension was $1 million in FY2025 (unchanged), $1 million in FY2024 (unchanged), $1 million in FY2023 (-47.4%) and $1.9 million in FY2022.
- The fiscal Q4 2026 figure marks the lowest quarterly Pension in data going back to fiscal Q2 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn |
| 10 | Seneca Foods | 1.24 Bn | 1.05 Bn | 47.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 800,000.00 |
| Mar 31, 2025 | 1.00 Mn |
| Mar 31, 2024 | 1.00 Mn |
| Mar 31, 2023 | 1.00 Mn |
| Mar 31, 2022 | 1.90 Mn |
| Dec 26, 2020 | 12.64 Mn |
| Sep 26, 2020 | 85.00 Mn |
| Jun 27, 2020 | 79.32 Mn |
| Mar 31, 2020 | 75.74 Mn |
| Dec 28, 2019 | 19.46 Mn |
| Sep 28, 2019 | 18.66 Mn |
| Jun 29, 2019 | 18.01 Mn |
| Mar 31, 2019 | 17.35 Mn |
| Dec 29, 2018 | 27.36 Mn |
| Sep 29, 2018 | 26.23 Mn |
| Jun 30, 2018 | 24.76 Mn |
| Mar 31, 2018 | 23.29 Mn |
| Dec 30, 2017 | 7.11 Mn |
| Sep 30, 2017 | 9.22 Mn |
| Jul 1, 2017 | 8.71 Mn |
API Access
Seneca Foods Pension 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=pension&ticker=SENEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();