Seaboard (SEB) Return on Sales [ROS] (2010 - 2026)
Seaboard (SEB) reported Return on Sales [ROS] of 0.47% for Q3 2026, down 2.84 percentage points from 3.31% a year earlier and down 2.95 percentage points from the prior quarter.
Seaboard (SEB) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Oct 3, 2026, Seaboard's Return on Sales [ROS] came in at 2.61%, down 0.32 percentage points year-over-year; for FY2025, it was 2.45%, up 0.74 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -0.99 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 1.71% in FY2024 (+2.62 pp), -0.91% in FY2023 (-6.75 pp), 5.84% in FY2022 (+0.88 pp) and 4.96% in FY2021 (+1.52 pp).
- The Q3 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since Q1 2024.
- Year over year, Return on Sales [ROS] gained in six of the last eight quarters, with an average year-over-year change of +1.56 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2024 (a gain of 8.41 percentage points); the low point was Q4 2023 (a drop of 9.96 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at 3.42% (Q2 2026), 4.00% (Q1 2026) and 2.70% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 32.98 Bn | 29.75 Bn | 1.89 Bn | 4.19% |
| 2 | Tyson Foods | 21.20 Bn | 17.56 Bn | 921.00 Mn | 2.61% |
| 3 | Bunge Global | 19.10 Bn | 17.51 Bn | 1.33 Bn | 3.05% |
| 4 | Jbs | 13.72 Bn | -1.87 Bn | 2.41 Bn | 2.27% |
| 5 | Darling Ingredients | 7.99 Bn | 7.57 Bn | 477.54 Mn | 18.61% |
| 6 | Smithfield Foods | 7.58 Bn | 2.40 Bn | 313.00 Mn | 3.70% |
| 7 | Pilgrims Pride | 6.72 Bn | 4.22 Bn | 333.67 Mn | 4.12% |
| 8 | Ingredion | 5.73 Bn | 1.83 Bn | 399.00 Mn | 11.22% |
| 9 | Scotts Miracle-Gro | 3.79 Bn | 3.79 Bn | - | - |
| 10 | Seaboard | 3.62 Bn | -1.43 Bn | 132.00 Mn | 0.47% |
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 0.47% |
| Jul 4, 2026 | 3.42% |
| Apr 4, 2026 | 4.00% |
| Dec 31, 2025 | 2.70% |
| Sep 27, 2025 | 3.31% |
| Jun 28, 2025 | 2.10% |
| Mar 29, 2025 | 1.64% |
| Dec 31, 2024 | 4.59% |
| Sep 28, 2024 | 1.44% |
| Jun 29, 2024 | 1.36% |
| Mar 30, 2024 | -0.91% |
| Dec 31, 2023 | -3.81% |
| Sep 30, 2023 | 2.81% |
| Jul 1, 2023 | -0.17% |
| Apr 1, 2023 | -2.52% |
| Dec 31, 2022 | 6.15% |
| Oct 1, 2022 | 5.35% |
| Jul 2, 2022 | 6.46% |
| Apr 2, 2022 | 5.39% |
| Dec 31, 2021 | 3.61% |
Seaboard Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=SEB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=SEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();