Seneca Foods (SENEA) EPS (Diluted) (2011 - 2026)
Seneca Foods' EPS (Diluted) was $2.85 in fiscal Q1 2027 (quarter ended Jun 27, 2026), up 33.1% from $2.14 a year earlier but down 22.1% from the prior quarter.
Seneca Foods (SENEA) EPS (Diluted) (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Seneca Foods' EPS (Diluted) was $17.44 through Jun 27, 2026, up 178.9% year-over-year; for FY2026 (ended Mar 31, 2026), it was $16.61, up 181.2% from FY2025.
- EPS (Diluted) shows a five-year compound annual growth rate of 3.8% (FY2021 to FY2026).
- In earlier fiscal years, EPS (Diluted) was $5.91 in FY2025 (-31.1%), $8.57 in FY2024 (+631.0%), $1.17 in FY2023 (-77.7%) and $5.26 in FY2022 (-61.8%).
- Quarterly EPS (Diluted) has moved between -$4.20 (fiscal Q4 2023) and $6.48 (fiscal Q3 2026) over five years.
- Compared with a year earlier, EPS (Diluted) was higher in four of the last six quarters, with growth averaging 54.8%.
- The best year-over-year quarter for EPS (Diluted) over five years was fiscal Q1 2024 (growth of 385.8%); the worst was fiscal Q4 2022 (a decline of 87.7%).
- Per Business Quant data, SENEA's EPS (Diluted) in the three fiscal quarters before Q1 2027 was $3.66 (Q4 2026), $6.48 (Q3 2026) and $4.29 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 1.20 |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 1.78 |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | -4.60 |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 0.74 |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 0.56 |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 3.03 |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 0.11 |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 0.20 |
| 10 | Seneca Foods | 1.24 Bn | 1.05 Bn | 47.85 Mn | 2.85 |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 2.85 |
| Mar 31, 2026 | 3.66 |
| Dec 27, 2025 | 6.48 |
| Sep 27, 2025 | 4.29 |
| Jun 28, 2025 | 2.14 |
| Mar 31, 2025 | 0.09 |
| Dec 28, 2024 | 2.11 |
| Sep 28, 2024 | 1.91 |
| Jun 29, 2024 | 1.80 |
| Mar 31, 2024 | -0.30 |
| Dec 30, 2023 | 2.45 |
| Sep 30, 2023 | 3.30 |
| Jul 1, 2023 | 3.01 |
| Mar 31, 2023 | -4.20 |
| Dec 31, 2022 | 2.66 |
| Oct 1, 2022 | 2.04 |
| Jul 2, 2022 | 0.62 |
| Mar 31, 2022 | 0.20 |
| Jan 1, 2022 | 2.15 |
| Oct 2, 2021 | 1.31 |
Seneca Foods EPS (Diluted) 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=eps-diluted&ticker=SENEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();