Seneca Foods (SENEA) Enterprise Value (2011 - 2026)
Seneca Foods' Enterprise Value was $1.07 billion in fiscal Q1 2027 (quarter ended Jun 27, 2026), up 56.9% from $680.26 million a year earlier and up 8.5% from the prior quarter.
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Analysis
Seneca Foods (SENEA) Enterprise Value (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Seneca Foods' Enterprise Value was $965.7 million through Jun 27, 2026, up 55.1% year-over-year; for FY2026 (ended Mar 31, 2026), it was $983.29 million, up 71.7% from FY2025.
- Enterprise Value shows a five-year compound annual growth rate of 6.6% (FY2021 to FY2026).
- In earlier fiscal years, Enterprise Value was $572.76 million in FY2025 (+39.0%), $411.91 million in FY2024 (-42.1%), $711.94 million in FY2023 (-5.3%) and $751.94 million in FY2022 (+5.5%).
- The fiscal Q1 2027 figure marks the highest quarterly Enterprise Value in data going back to fiscal Q4 2011.
- Compared with a year earlier, Enterprise Value has increased for nine straight quarters, with growth averaging 49.6% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was fiscal Q1 2026 (growth of 72.6%); the worst was fiscal Q1 2024 (a decline of 45.8%).
- Per Business Quant data, SENEA's Enterprise Value in the three fiscal quarters before Q1 2027 was $983.29 million (Q4 2026), $718.14 million (Q3 2026) and $718.76 million (Q2 2026).
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 |
|---|---|
| Jun 27, 2026 | 1.07 Bn |
| Mar 31, 2026 | 983.29 Mn |
| Dec 27, 2025 | 718.14 Mn |
| Sep 27, 2025 | 718.76 Mn |
| Jun 28, 2025 | 680.26 Mn |
| Mar 31, 2025 | 572.76 Mn |
| Dec 28, 2024 | 534.43 Mn |
| Sep 28, 2024 | 426.03 Mn |
| Jun 29, 2024 | 394.07 Mn |
| Mar 31, 2024 | 411.91 Mn |
| Dec 30, 2023 | 366.78 Mn |
| Sep 30, 2023 | 395.85 Mn |
| Jul 1, 2023 | 243.02 Mn |
| Mar 31, 2023 | 711.94 Mn |
| Dec 31, 2022 | 456.54 Mn |
| Oct 1, 2022 | 382.36 Mn |
| Jul 2, 2022 | 448.52 Mn |
| Mar 31, 2022 | 751.94 Mn |
| Jan 1, 2022 | 401.50 Mn |
| Oct 2, 2021 | 427.48 Mn |
API Access
Seneca Foods Enterprise Value 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=enterprise-value&ticker=SENEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();