Seaboard (SEB) Return on Sales [ROS] (2010 - 2026)
Seaboard (SEB) reported Return on Sales [ROS] of 3.42% for Q2 2026, up 1.33 percentage points from 2.10% a year earlier but down 0.58 percentage points from the prior quarter.
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Analysis
Seaboard (SEB) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 4, 2026, Seaboard's Return on Sales [ROS] came in at 3.36%, up 0.87 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).
- Five-year quarterly Return on Sales [ROS] spans a low of -3.81% in Q4 2023 and a high of 6.46% in Q2 2022.
- Year over year, Return on Sales [ROS] gained in six of the last eight quarters, with an average year-over-year change of +1.75 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 Q2 2026 came in at 4.00% (Q1 2026), 2.70% (Q4 2025) and 3.31% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 3.95% |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | 4.47% |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 2.61% |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 2.50% |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 32.20% |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | 7.84% |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 1.43% |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | 10.16% |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 3.42% |
| 10 | Cal-Maine Foods | 3.11 Bn | 2.14 Bn | 403,000.00 | -15.23% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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% |
| Oct 2, 2021 | 4.92% |
API Access
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_KEYimport 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();