Seneca Foods (SENEA) Selling, General & Administrative (2010 - 2026)
Seneca Foods' Selling, General & Administrative was $20.41 million in fiscal Q1 2027 (quarter ended Jun 27, 2026), up 8.9% from $18.74 million a year earlier and up 1.1% from the prior quarter.
Seneca Foods (SENEA) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Seneca Foods' Selling, General & Administrative was $84.77 million through Jun 27, 2026, up 10.5% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $83.1 million, up 10.1% from FY2025.
- Selling, General & Administrative shows a five-year compound annual growth rate of 0.8% (FY2021 to FY2026).
- In earlier fiscal years, Selling, General & Administrative was $75.46 million in FY2025 (-7.1%), $81.21 million in FY2024 (+0.2%), $81.07 million in FY2023 (+6.2%) and $76.34 million in FY2022 (-4.5%).
- Quarterly Selling, General & Administrative has moved between $17.25 million (fiscal Q4 2025) and $23.63 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Selling, General & Administrative has increased for five straight quarters, with growth averaging 4.4% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was fiscal Q4 2026 (growth of 17.0%); the worst was fiscal Q4 2024 (a decline of 14.8%).
- Per Business Quant data, SENEA's Selling, General & Administrative in the three fiscal quarters before Q1 2027 was $20.18 million (Q4 2026), $23.63 million (Q3 2026) and $20.55 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 2.00 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 620.55 Mn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 832.20 Mn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 410.50 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 436.40 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 704.40 Mn |
| 10 | Seneca Foods | 1.20 Bn | 1.02 Bn | 47.85 Mn | 20.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 20.41 Mn |
| Mar 31, 2026 | 20.18 Mn |
| Dec 27, 2025 | 23.63 Mn |
| Sep 27, 2025 | 20.55 Mn |
| Jun 28, 2025 | 18.74 Mn |
| Mar 31, 2025 | 17.25 Mn |
| Dec 28, 2024 | 22.67 Mn |
| Sep 28, 2024 | 18.07 Mn |
| Jun 29, 2024 | 17.48 Mn |
| Mar 31, 2024 | 17.41 Mn |
| Dec 30, 2023 | 22.92 Mn |
| Sep 30, 2023 | 21.03 Mn |
| Jul 1, 2023 | 19.85 Mn |
| Mar 31, 2023 | 20.44 Mn |
| Dec 31, 2022 | 21.91 Mn |
| Oct 1, 2022 | 20.48 Mn |
| Jul 2, 2022 | 18.24 Mn |
| Mar 31, 2022 | 18.90 Mn |
| Jan 1, 2022 | 21.03 Mn |
| Oct 2, 2021 | 19.14 Mn |
Seneca Foods Selling, General & Administrative 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=selling-general-and-administrative&ticker=SENEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();