Seneca Foods (SENEA) Return on Capital Employed [ROCE] (2011 - 2026)
Seneca Foods' Return on Capital Employed [ROCE] was 14.46% in fiscal Q1 2027 (quarter ended Jun 27, 2026), up 6.84 percentage points from 7.61% a year earlier and up 0.74 percentage points from the prior quarter.
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Analysis
Seneca Foods (SENEA) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Return on Capital Employed [ROCE] at Seneca Foods came in at 13.99%, up 6.71 percentage points from FY2025.
- Return on Capital Employed [ROCE] shows a five-year change of -10.11 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Capital Employed [ROCE] was 7.28% in FY2025 (-2.07 pp), 9.35% in FY2024 (+7.03 pp), 2.32% in FY2023 (-6.19 pp) and 8.50% in FY2022 (-15.60 pp).
- The fiscal Q1 2027 figure marks the highest quarterly Return on Capital Employed [ROCE] since fiscal Q2 2022.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for four straight quarters, with an average year-over-year change of +2.62 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was fiscal Q1 2027 (a gain of 6.84 percentage points); the worst was fiscal Q4 2022 (a drop of 16.94 percentage points).
- Per Business Quant data, SENEA's Return on Capital Employed [ROCE] in the three fiscal quarters before Q1 2027 was 13.72% (Q4 2026), 11.43% (Q3 2026) and 10.28% (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 8.97% |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 20.49% |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | -4.62% |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | -0.89% |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 5.93% |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 8.50% |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 5.01% |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 24.87% |
| 10 | Seneca Foods | 1.20 Bn | 1.02 Bn | 47.85 Mn | 14.46% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 14.46% |
| Mar 31, 2026 | 13.72% |
| Dec 27, 2025 | 11.43% |
| Sep 27, 2025 | 10.28% |
| Jun 28, 2025 | 7.61% |
| Mar 31, 2025 | 7.86% |
| Dec 28, 2024 | 7.05% |
| Sep 28, 2024 | 8.19% |
| Jun 29, 2024 | 8.62% |
| Mar 31, 2024 | 8.34% |
| Dec 30, 2023 | 5.19% |
| Sep 30, 2023 | 6.81% |
| Jul 1, 2023 | 4.86% |
| Mar 31, 2023 | 1.94% |
| Dec 31, 2022 | 5.35% |
| Oct 1, 2022 | 6.89% |
| Jul 2, 2022 | 6.88% |
| Mar 31, 2022 | 8.01% |
| Jan 1, 2022 | 10.69% |
| Oct 2, 2021 | 23.03% |
API Access
Seneca Foods Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=SENEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();