Seneca Foods (SENEA) Other Accumulated Expenses (2010 - 2026)
Seneca Foods (SENEA) reported Other Accumulated Expenses of $29.04 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 0.8% from $28.8 million a year earlier and up 10.0% from the prior quarter.
Seneca Foods (SENEA) Other Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Seneca Foods posted Other Accumulated Expenses of $26.41 million, down 7.6% from FY2025.
- Other Accumulated Expenses has a five-year compound annual growth rate of 1.6% (FY2021 to FY2026).
- By fiscal year, Other Accumulated Expenses came in at $28.59 million in FY2025 (-14.4%), $33.38 million in FY2024 (+43.3%), $23.29 million in FY2023 (+0.1%) and $23.27 million in FY2022 (-4.6%).
- Five-year quarterly Other Accumulated Expenses spans a low of $21.45 million in fiscal Q1 2024 and a high of $39.55 million in fiscal Q2 2025.
- Year over year, Other Accumulated Expenses gained in three of the last eight quarters, with growth averaging 1.1%.
- The high point for year-over-year Other Accumulated Expenses in five years was fiscal Q1 2025 (growth of 51.7%); the low point was fiscal Q4 2025 (a decline of 14.4%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $26.41 million (Q4 2026), $34.9 million (Q3 2026) and $37.67 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn |
| 10 | Seneca Foods | 1.20 Bn | 1.02 Bn | 47.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 29.04 Mn |
| Mar 31, 2026 | 26.41 Mn |
| Dec 27, 2025 | 34.90 Mn |
| Sep 27, 2025 | 37.67 Mn |
| Jun 28, 2025 | 28.80 Mn |
| Mar 31, 2025 | 28.59 Mn |
| Dec 28, 2024 | 36.73 Mn |
| Sep 28, 2024 | 39.55 Mn |
| Jun 29, 2024 | 32.54 Mn |
| Mar 31, 2024 | 33.38 Mn |
| Dec 30, 2023 | 29.53 Mn |
| Sep 30, 2023 | 31.28 Mn |
| Jul 1, 2023 | 21.45 Mn |
| Mar 31, 2023 | 23.29 Mn |
| Dec 31, 2022 | 26.92 Mn |
| Oct 1, 2022 | 31.05 Mn |
| Jul 2, 2022 | 23.47 Mn |
| Mar 31, 2022 | 23.27 Mn |
| Jan 1, 2022 | 27.47 Mn |
| Oct 2, 2021 | 31.89 Mn |
Seneca Foods Other Accumulated Expenses 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=other-accumulated-expenses&ticker=SENEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();