Seneca Foods (SENEA) Operating Leases (2019 - 2026)
Seneca Foods' Operating Leases came in at $12.73 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 81.9% from $7 million a year earlier but down 11.3% from the prior quarter.
Seneca Foods (SENEA) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Seneca Foods' Operating Leases was $14.34 million, up 107.1% from FY2025.
- Operating Leases carries a five-year compound annual growth rate of -12.4% (FY2021 to FY2026).
- Going back by fiscal year, Operating Leases was $6.92 million in FY2025 (-49.7%), $13.76 million in FY2024 (-17.5%), $16.68 million in FY2023 (-26.0%) and $22.53 million in FY2022 (-18.9%).
- The five-year range for quarterly Operating Leases is $6.27 million (fiscal Q3 2026) to $26.95 million (fiscal Q2 2022).
- Year-over-year, Operating Leases increased in two of the last eight quarters, with growth averaging 0.6%.
- The fastest year-over-year change in Operating Leases over five years came in fiscal Q4 2026 (growth of 107.1%), and the weakest in fiscal Q2 2025 (a decline of 52.4%).
- Business Quant data shows SENEA's Operating Leases at $14.34 million (Q4 2026), $6.27 million (Q3 2026) and $6.37 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn |
| 10 | Seneca Foods | 1.24 Bn | 1.05 Bn | 47.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 12.73 Mn |
| Mar 31, 2026 | 14.34 Mn |
| Dec 27, 2025 | 6.27 Mn |
| Sep 27, 2025 | 6.37 Mn |
| Jun 28, 2025 | 7.00 Mn |
| Mar 31, 2025 | 6.92 Mn |
| Dec 28, 2024 | 6.54 Mn |
| Sep 28, 2024 | 6.66 Mn |
| Jun 29, 2024 | 8.93 Mn |
| Mar 31, 2024 | 13.76 Mn |
| Dec 30, 2023 | 13.62 Mn |
| Sep 30, 2023 | 14.00 Mn |
| Jul 1, 2023 | 15.20 Mn |
| Mar 31, 2023 | 16.68 Mn |
| Dec 31, 2022 | 17.22 Mn |
| Oct 1, 2022 | 16.51 Mn |
| Jul 2, 2022 | 19.45 Mn |
| Mar 31, 2022 | 22.53 Mn |
| Jan 1, 2022 | 24.53 Mn |
| Oct 2, 2021 | 26.95 Mn |
Seneca Foods Operating Leases 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=operating-leases&ticker=SENEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();