Seneca Foods (SENEA) Cost of Revenue (2010 - 2026)
Seneca Foods (SENEA) posted Cost of Revenue of $357.32 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 39.8% from $255.65 million a year earlier and up 2.2% from the prior quarter.
Seneca Foods (SENEA) Cost of Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 27, 2026, Cost of Revenue at Seneca Foods was $1.53 billion, up 7.6% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $1.43 billion, unchanged from FY2025.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 2.9% (FY2021 to FY2026).
- In prior fiscal years, Seneca Foods' Cost of Revenue was $1.43 billion in FY2025 (+12.5%), $1.27 billion in FY2024 (-9.6%), $1.41 billion in FY2023 (+13.0%) and $1.24 billion in FY2022 (+0.7%).
- Quarterly Cost of Revenue has run from a low of $242.35 million in fiscal Q1 2023 to a high of $453.75 million in fiscal Q3 2025 over five years.
- On a year-over-year basis, Cost of Revenue increased in six of the last eight quarters, with growth averaging 10.2%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was fiscal Q1 2027, with growth of 39.8%; the weakest was fiscal Q4 2024, with a decline of 16.8%.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $349.77 million (Q4 2026), $424.89 million (Q3 2026) and $398.16 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 5.37 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 1.52 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 4.23 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 2.90 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 1.24 Bn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 1.23 Bn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 2.49 Bn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 2.32 Bn |
| 10 | Seneca Foods | 1.20 Bn | 1.02 Bn | 47.85 Mn | 357.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 357.32 Mn |
| Mar 31, 2026 | 349.77 Mn |
| Dec 27, 2025 | 424.89 Mn |
| Sep 27, 2025 | 398.16 Mn |
| Jun 28, 2025 | 255.65 Mn |
| Mar 31, 2025 | 330.31 Mn |
| Dec 28, 2024 | 453.75 Mn |
| Sep 28, 2024 | 382.59 Mn |
| Jun 29, 2024 | 262.04 Mn |
| Mar 31, 2024 | 287.21 Mn |
| Dec 30, 2023 | 390.45 Mn |
| Sep 30, 2023 | 349.36 Mn |
| Jul 1, 2023 | 243.38 Mn |
| Mar 31, 2023 | 345.16 Mn |
| Dec 31, 2022 | 419.47 Mn |
| Oct 1, 2022 | 398.06 Mn |
| Jul 2, 2022 | 242.35 Mn |
| Mar 31, 2022 | 312.13 Mn |
| Jan 1, 2022 | 400.61 Mn |
| Oct 2, 2021 | 329.53 Mn |
Seneca Foods Cost of 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=cost-of-revenue&ticker=SENEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();