Seneca Foods (SENEA) EBITDA (2010 - 2026)
Seneca Foods (SENEA) posted EBITDA of $36.86 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 7.5% from $34.29 million a year earlier and up 7.3% from the prior quarter.
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Analysis
Seneca Foods (SENEA) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, EBITDA at Seneca Foods was $194.96 million, up 61.7% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $192.39 million, up 57.0% from FY2025.
- Annual EBITDA shows a five-year compound annual growth rate of -2.1% (FY2021 to FY2026).
- In prior fiscal years, Seneca Foods' EBITDA was $122.55 million in FY2025 (-18.7%), $150.71 million in FY2024 (+141.9%), $62.3 million in FY2023 (-38.0%) and $100.53 million in FY2022 (-52.9%).
- Quarterly EBITDA has run from a low of -$35.67 million in fiscal Q4 2023 to a high of $70.87 million in fiscal Q3 2026 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last four quarters, with growth averaging 32.6% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q1 2024, with growth of 181.8%; the weakest was fiscal Q4 2022, with a decline of 74.7%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $34.34 million (Q4 2026), $70.87 million (Q3 2026) and $52.9 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 2.30 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 778.74 Mn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | -6.17 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 773.40 Mn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 349.90 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 639.10 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 177.33 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 131.70 Mn |
| 10 | Seneca Foods | 1.24 Bn | 1.05 Bn | 47.85 Mn | 36.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 36.86 Mn |
| Mar 31, 2026 | 34.34 Mn |
| Dec 27, 2025 | 70.87 Mn |
| Sep 27, 2025 | 52.90 Mn |
| Jun 28, 2025 | 34.29 Mn |
| Mar 31, 2025 | 13.21 Mn |
| Dec 28, 2024 | 37.19 Mn |
| Sep 28, 2024 | 35.89 Mn |
| Jun 29, 2024 | 36.26 Mn |
| Mar 31, 2024 | 13.30 Mn |
| Dec 30, 2023 | 41.72 Mn |
| Sep 30, 2023 | 49.51 Mn |
| Jul 1, 2023 | 46.18 Mn |
| Mar 31, 2023 | -35.67 Mn |
| Dec 31, 2022 | 49.69 Mn |
| Oct 1, 2022 | 31.89 Mn |
| Jul 2, 2022 | 16.38 Mn |
| Mar 31, 2022 | 10.27 Mn |
| Jan 1, 2022 | 33.02 Mn |
| Oct 2, 2021 | 30.93 Mn |
API Access
Seneca Foods EBITDA 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=ebitda&ticker=SENEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();