Seneca Foods (SENEA) Treasury Stock (2009 - 2026)
Seneca Foods (SENEA) reported Treasury Shares of $227.42 million for fiscal Q1 2027 (quarter ended Jun 27, 2026), up 6.1% from $214.44 million a year earlier and up 0.6% from the prior quarter.
Seneca Foods (SENEA) Treasury Stock (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Seneca Foods posted Treasury Shares of $226.07 million, up 7.3% from FY2025.
- Treasury Shares has increased for 12 consecutive fiscal years, with a five-year compound annual growth rate of 19.9% (FY2021 to FY2026).
- By fiscal year, Treasury Shares came in at $210.67 million in FY2025 (+5.3%), $200.11 million in FY2024 (+18.7%), $168.57 million in FY2023 (+30.8%) and $128.88 million in FY2022 (+41.3%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Treasury Shares in data going back to fiscal Q1 2011.
- Year over year, Treasury Shares has now increased in each of the last 49 quarters, with growth averaging 6.0% over the last eight quarters.
- The year-over-year growth in Treasury Shares has ranged between 2.6% (fiscal Q2 2026) and 52.9% (fiscal Q2 2023) over the last five years.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $226.07 million (Q4 2026), $219.41 million (Q3 2026) and $215.53 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Treasury Stock (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 144.95 Bn | 98.82 Bn | - | - |
| 2 | Mondelez International | 84.23 Bn | 77.29 Bn | 3.92 Bn | 32.29 Bn |
| 3 | Hershey | 34.99 Bn | 31.72 Bn | 1.51 Bn | 2.69 Bn |
| 4 | Kraft Heinz | 28.72 Bn | 16.47 Bn | 1.99 Bn | 2.70 Bn |
| 5 | General Mills | 18.50 Bn | 16.16 Bn | 1.49 Bn | 11.84 Bn |
| 6 | J M Smucker | 14.27 Bn | 14.05 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.58 Bn | 12.23 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 12.22 Bn | 8.90 Bn | 471.52 Mn | - |
| 9 | Chewy | 9.17 Bn | 6.46 Bn | 1.01 Bn | - |
| 10 | Seneca Foods | 1.14 Bn | 957.89 Mn | 61.58 Mn | 229.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 229.10 Mn |
| Jun 27, 2026 | 227.42 Mn |
| Mar 31, 2026 | 226.07 Mn |
| Dec 27, 2025 | 219.41 Mn |
| Sep 27, 2025 | 215.53 Mn |
| Jun 28, 2025 | 214.44 Mn |
| Mar 31, 2025 | 210.67 Mn |
| Dec 28, 2024 | 210.91 Mn |
| Sep 28, 2024 | 210.10 Mn |
| Jun 29, 2024 | 206.75 Mn |
| Mar 31, 2024 | 200.11 Mn |
| Dec 30, 2023 | 195.71 Mn |
| Sep 30, 2023 | 188.22 Mn |
| Jul 1, 2023 | 170.75 Mn |
| Mar 31, 2023 | 168.57 Mn |
| Dec 31, 2022 | 170.09 Mn |
| Oct 1, 2022 | 165.87 Mn |
| Jul 2, 2022 | 144.80 Mn |
| Mar 31, 2022 | 128.88 Mn |
| Jan 1, 2022 | 118.98 Mn |
Seneca Foods Treasury Stock 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=treasury-shares&ticker=SENEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "treasury-shares", "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=treasury-shares&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();