Seaboard (SEB) Return on Capital Employed [ROCE] (2011 - 2026)
Seaboard (SEB) recorded Return on Capital Employed [ROCE] of 3.94% in Q3 2026, down 0.30 percentage points from 4.24% a year earlier and down 1.08 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).
- Quarterly Return on Capital Employed [ROCE] has ranged from -1.39% in Q4 2023 to 10.44% in Q4 2022 over the past five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in seven of the last eight quarters, with an average year-over-year change of +2.49 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 4.96 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 5.02% (Q2 2026), 4.40% (Q1 2026) and 3.55% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 32.98 Bn | 29.75 Bn | 1.89 Bn | 6.91% |
| 2 | Tyson Foods | 21.20 Bn | 17.56 Bn | 921.00 Mn | 4.37% |
| 3 | Bunge Global | 19.10 Bn | 17.51 Bn | 1.33 Bn | 8.38% |
| 4 | Jbs | 13.72 Bn | -1.87 Bn | 2.41 Bn | 7.39% |
| 5 | Darling Ingredients | 7.99 Bn | 7.57 Bn | 477.54 Mn | 12.49% |
| 6 | Smithfield Foods | 7.58 Bn | 2.40 Bn | 313.00 Mn | 11.56% |
| 7 | Pilgrims Pride | 6.72 Bn | 4.22 Bn | 333.67 Mn | 8.22% |
| 8 | Ingredion | 5.73 Bn | 1.83 Bn | 399.00 Mn | 12.84% |
| 9 | Scotts Miracle-Gro | 3.79 Bn | 3.79 Bn | - | - |
| 10 | Seaboard | 3.62 Bn | -1.43 Bn | 132.00 Mn | 3.94% |
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 3.94% |
| Jul 4, 2026 | 5.02% |
| Apr 4, 2026 | 4.40% |
| Dec 31, 2025 | 3.55% |
| Sep 27, 2025 | 4.24% |
| 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% |
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();