Seneca Foods (SENEA) Revenue (2010 - 2026)
Seneca Foods (SENEA) recorded Revenue of $405.17 million in fiscal Q1 2027 (quarter ended Jun 27, 2026), up 36.2% from $297.46 million a year earlier and up 2.9% from the prior quarter.
Seneca Foods (SENEA) Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Seneca Foods' Revenue came in at $1.77 billion as of Jun 27, 2026, up 12.5% year-over-year; for FY2026 (ended Mar 31, 2026), it was $1.66 billion, up 5.1% from FY2025.
- Annual Revenue has a five-year compound annual growth rate of 2.5% (FY2021 to FY2026).
- Across earlier fiscal years, Revenue came in at $1.58 billion in FY2025 (+8.2%), $1.46 billion in FY2024 (-3.4%), $1.51 billion in FY2023 (+9.0%) and $1.39 billion in FY2022 (-5.6%).
- Quarterly Revenue has ranged from $265.19 million in fiscal Q1 2023 to $508.35 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Revenue has increased for four consecutive quarters, with growth averaging 10.8% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 36.2% in fiscal Q1 2027, against a decline of 8.0% in fiscal Q3 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $393.85 million (Q4 2026), $508.35 million (Q3 2026) and $460.02 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 15.16 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 9.36 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 2.79 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 6.26 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 4.39 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 1.94 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 2.22 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 2.96 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 3.33 Bn |
| 10 | Seneca Foods | 1.23 Bn | 1.04 Bn | 47.85 Mn | 405.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 405.17 Mn |
| Mar 31, 2026 | 393.85 Mn |
| Dec 27, 2025 | 508.35 Mn |
| Sep 27, 2025 | 460.02 Mn |
| Jun 28, 2025 | 297.46 Mn |
| Mar 31, 2025 | 345.84 Mn |
| Dec 28, 2024 | 502.86 Mn |
| Sep 28, 2024 | 425.47 Mn |
| Jun 29, 2024 | 304.73 Mn |
| Mar 31, 2024 | 307.98 Mn |
| Dec 30, 2023 | 444.48 Mn |
| Sep 30, 2023 | 407.48 Mn |
| Jul 1, 2023 | 298.66 Mn |
| Mar 31, 2023 | 331.06 Mn |
| Dec 31, 2022 | 473.25 Mn |
| Oct 1, 2022 | 439.84 Mn |
| Jul 2, 2022 | 265.19 Mn |
| Mar 31, 2022 | 332.39 Mn |
| Jan 1, 2022 | 445.59 Mn |
| Oct 2, 2021 | 372.26 Mn |
Seneca Foods Revenue 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=revenue&ticker=SENEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();