Seneca Foods (SENEA) Other Non Operating Income (2017 - 2026)
Seneca Foods' Other Non Operating Income came in at $2.96 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 55.0% from $1.91 million a year earlier but down 75.8% from the prior quarter.
Seneca Foods (SENEA) Other Non Operating Income (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Seneca Foods reported Other Non Operating Income of $19.9 million, up 90.2% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $18.85 million, up 89.3% from FY2025.
- Other Non Operating Income has increased in each of the last three fiscal years.
- Going back by fiscal year, Other Non Operating Income was $9.96 million in FY2025 (+1.7%), $9.79 million in FY2024 (+44.8%), $6.76 million in FY2023 (-27.3%) and $9.3 million in FY2022.
- The five-year range for quarterly Other Non Operating Income is $1.34 million (fiscal Q1 2024) to $12.23 million (fiscal Q4 2026).
- Year-over-year, Other Non Operating Income has increased for six consecutive quarters, with growth averaging 40.3% over the last eight quarters.
- The fastest year-over-year change in Other Non Operating Income over five years came in fiscal Q3 2022 (growth of 847.9%), and the weakest in fiscal Q1 2023 (a decline of 35.8%).
- Business Quant data shows SENEA's Other Non Operating Income at $12.23 million (Q4 2026), $2.8 million (Q3 2026) and $1.91 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 129.94 Bn | 105.31 Bn | - |
| 2 | Mondelez International | 73.72 Bn | 67.04 Bn | 3.99 Bn |
| 3 | Hershey | 32.21 Bn | 28.45 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.65 Bn | 13.18 Bn | 2.03 Bn |
| 5 | General Mills | 16.93 Bn | 14.59 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.38 Bn | 12.16 Bn | 979.60 Mn |
| 7 | Mccormick | 11.89 Bn | 11.54 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.00 Bn | 7.68 Bn | 471.52 Mn |
| 9 | Chewy | 7.12 Bn | 4.40 Bn | 1.01 Bn |
| 10 | Seneca Foods | 1.20 Bn | 1.01 Bn | 47.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 2.96 Mn |
| Mar 31, 2026 | 12.23 Mn |
| Dec 27, 2025 | 2.80 Mn |
| Sep 27, 2025 | 1.91 Mn |
| Jun 28, 2025 | 1.91 Mn |
| Mar 31, 2025 | 5.62 Mn |
| Dec 28, 2024 | 1.53 Mn |
| Sep 28, 2024 | 1.40 Mn |
| Jun 29, 2024 | 1.40 Mn |
| Mar 31, 2024 | 5.29 Mn |
| Dec 30, 2023 | 1.83 Mn |
| Sep 30, 2023 | 1.34 Mn |
| Jul 1, 2023 | 1.34 Mn |
| Mar 31, 2023 | 1.69 Mn |
| Dec 31, 2022 | 2.02 Mn |
| Oct 1, 2022 | 1.53 Mn |
| Jul 2, 2022 | 1.53 Mn |
| Mar 31, 2022 | 2.33 Mn |
| Jan 1, 2022 | 2.22 Mn |
| Oct 2, 2021 | 2.38 Mn |
Seneca Foods Other Non Operating Income 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-non-operating-income&ticker=SENEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-operating-income", "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-non-operating-income&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();