Seaboard (SEB) Return on Capital Employed [ROCE] (2011 - 2026)
Seaboard (SEB) recorded Return on Capital Employed [ROCE] of 5.02% in Q2 2026, up 1.36 percentage points from 3.66% a year earlier and up 0.62 percentage points from the prior quarter.
Seaboard (SEB) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Seaboard reported Return on Capital Employed [ROCE] of 3.71%, up 1.20 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of -0.92 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at 2.51% in FY2024 (+3.87 pp), -1.36% in FY2023 (-12.00 pp), 10.64% in FY2022 (+2.16 pp) and 8.48% in FY2021 (+3.86 pp).
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] since Q1 2023.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for seven consecutive quarters, with an average year-over-year change of +2.14 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 5.06 percentage points in Q3 2025, against a drop of 11.83 percentage points in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 4.40% (Q1 2026), 3.63% (Q4 2025) and 4.33% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.33 Bn | 34.62 Bn | 1.94 Bn | 4.53% |
| 2 | Bunge Global | 20.48 Bn | 17.99 Bn | 1.68 Bn | 6.80% |
| 3 | Tyson Foods | 17.76 Bn | 14.11 Bn | 921.00 Mn | 4.37% |
| 4 | Jbs | 12.04 Bn | -21.06 Bn | 2.59 Bn | 9.59% |
| 5 | Darling Ingredients | 9.73 Bn | 9.33 Bn | 503.37 Mn | 9.59% |
| 6 | Smithfield Foods | 7.32 Bn | 2.27 Bn | 478.00 Mn | 13.26% |
| 7 | Pilgrims Pride | 6.00 Bn | 3.83 Bn | 339.75 Mn | 12.55% |
| 8 | Ingredion | 5.99 Bn | 2.16 Bn | 426.00 Mn | 12.76% |
| 9 | Seaboard | 3.79 Bn | -1.03 Bn | 221.00 Mn | 5.02% |
| 10 | Cal-Maine Foods | 3.08 Bn | 2.10 Bn | 403,000.00 | 0.66% |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 5.02% |
| Apr 4, 2026 | 4.40% |
| Dec 31, 2025 | 3.63% |
| Sep 27, 2025 | 4.33% |
| Jun 28, 2025 | 3.66% |
| Mar 29, 2025 | 3.42% |
| Dec 31, 2024 | 2.49% |
| Sep 28, 2024 | -0.72% |
| Jun 29, 2024 | -0.16% |
| Mar 30, 2024 | -0.71% |
| Dec 31, 2023 | -1.39% |
| Sep 30, 2023 | 2.51% |
| Jul 1, 2023 | 3.97% |
| Apr 1, 2023 | 7.00% |
| Dec 31, 2022 | 10.44% |
| Oct 1, 2022 | 9.42% |
| Jul 2, 2022 | 9.01% |
| Apr 2, 2022 | 8.60% |
| Dec 31, 2021 | 7.86% |
| Oct 2, 2021 | 8.79% |
Seaboard 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=SEB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "SEB", "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=SEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();