Seaboard (SEB) Operating Expenses (2010 - 2026)
Seaboard (SEB) recorded Operating Expenses of $121 million in Q2 2026, up 10.0% from $110 million a year earlier and unchanged from the prior quarter.
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Analysis
Seaboard (SEB) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Seaboard's Operating Expenses came in at $482 million as of Jul 4, 2026, up 12.6% year-over-year; for FY2025, it was $454 million, up 8.1% from FY2024.
- Annual Operating Expenses has increased for five straight years, with a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $420 million in FY2024 (+4.2%), $403 million in FY2023 (+8.0%), $373 million in FY2022 (+3.6%) and $360 million in FY2021 (+9.4%).
- Quarterly Operating Expenses has ranged from $88 million in Q3 2021 to $126 million in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for five consecutive quarters, with growth averaging 8.4% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 16.3% in Q1 2026, against a decline of 2.8% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $121 million (Q1 2026), $126 million (Q4 2025) and $114 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn | 1.04 Bn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn | 606.00 Mn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn | 559.00 Mn |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn | 1.99 Bn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn | 1.52 Bn |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn | 191.00 Mn |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn | 273.80 Mn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn | 45.00 Mn |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn | 121.00 Mn |
| 10 | Cal-Maine Foods | 3.18 Bn | 2.21 Bn | 403,000.00 | 81.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 121.00 Mn |
| Apr 4, 2026 | 121.00 Mn |
| Dec 31, 2025 | 126.00 Mn |
| Sep 27, 2025 | 114.00 Mn |
| Jun 28, 2025 | 110.00 Mn |
| Mar 29, 2025 | 104.00 Mn |
| Dec 31, 2024 | 109.00 Mn |
| Sep 28, 2024 | 105.00 Mn |
| Jun 29, 2024 | 99.00 Mn |
| Mar 30, 2024 | 107.00 Mn |
| Dec 31, 2023 | 108.00 Mn |
| Sep 30, 2023 | 98.00 Mn |
| Jul 1, 2023 | 100.00 Mn |
| Apr 1, 2023 | 97.00 Mn |
| Dec 31, 2022 | 102.00 Mn |
| Oct 1, 2022 | 92.00 Mn |
| Jul 2, 2022 | 89.00 Mn |
| Apr 2, 2022 | 90.00 Mn |
| Dec 31, 2021 | 98.00 Mn |
| Oct 2, 2021 | 88.00 Mn |
API Access
Seaboard Operating Expenses 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=operating-expenses&ticker=SEB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();