Seneca Foods (SENEA) Cash & Equivalents (2010 - 2026)
Seneca Foods' Cash & Equivalents was $86.92 million in fiscal Q1 2027 (quarter ended Jun 27, 2026), up 620.0% from $12.07 million a year earlier and up 74.1% from the prior quarter.
Seneca Foods (SENEA) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Cash & Equivalents at Seneca Foods came in at $49.92 million, up 16.9% from FY2025.
- Cash & Equivalents shows a five-year compound annual growth rate of -3.6% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $42.69 million in FY2025 (+852.2%), $4.48 million in FY2024 (-14.4%), $5.24 million in FY2023 (-52.0%) and $10.9 million in FY2022 (-81.8%).
- The fiscal Q1 2027 figure marks the highest quarterly Cash & Equivalents in data going back to fiscal Q1 2011.
- Compared with a year earlier, Cash & Equivalents has increased for six straight quarters, with growth averaging 286.6% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q4 2025 (growth of 852.2%); the worst was fiscal Q4 2022 (a decline of 81.8%).
- Per Business Quant data, SENEA's Cash & Equivalents in the three fiscal quarters before Q1 2027 was $49.92 million (Q4 2026), $33.31 million (Q3 2026) and $18.13 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 129.94 Bn | 105.31 Bn | - | 5.49 Bn |
| 2 | Mondelez International | 73.72 Bn | 67.04 Bn | 3.99 Bn | 1.72 Bn |
| 3 | Hershey | 32.21 Bn | 28.45 Bn | 1.26 Bn | 791.21 Mn |
| 4 | Kraft Heinz | 26.65 Bn | 13.18 Bn | 2.03 Bn | 2.42 Bn |
| 5 | General Mills | 16.93 Bn | 14.59 Bn | 1.49 Bn | 433.10 Mn |
| 6 | J M Smucker | 12.38 Bn | 12.16 Bn | 979.60 Mn | 43.20 Mn |
| 7 | Mccormick | 11.89 Bn | 11.54 Bn | 794.90 Mn | 331.10 Mn |
| 8 | Hormel Foods | 11.00 Bn | 7.68 Bn | 471.52 Mn | 839.64 Mn |
| 9 | Chewy | 7.12 Bn | 4.40 Bn | 1.01 Bn | 611.00 Mn |
| 10 | Seneca Foods | 1.20 Bn | 1.01 Bn | 47.85 Mn | 86.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 86.92 Mn |
| Mar 31, 2026 | 49.92 Mn |
| Dec 27, 2025 | 33.31 Mn |
| Sep 27, 2025 | 18.13 Mn |
| Jun 28, 2025 | 12.07 Mn |
| Mar 31, 2025 | 42.69 Mn |
| Dec 28, 2024 | 5.31 Mn |
| Sep 28, 2024 | 9.55 Mn |
| Jun 29, 2024 | 5.54 Mn |
| Mar 31, 2024 | 4.48 Mn |
| Dec 30, 2023 | 7.17 Mn |
| Sep 30, 2023 | 4.92 Mn |
| Jul 1, 2023 | 5.22 Mn |
| Mar 31, 2023 | 5.24 Mn |
| Dec 31, 2022 | 5.58 Mn |
| Oct 1, 2022 | 12.89 Mn |
| Jul 2, 2022 | 12.24 Mn |
| Mar 31, 2022 | 10.90 Mn |
| Jan 1, 2022 | 11.01 Mn |
| Oct 2, 2021 | 11.26 Mn |
Seneca Foods Cash & Equivalents 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=cash-and-equivalents&ticker=SENEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();