Seaboard (SEB) Exchange Rate Effect (2010 - 2026)
Seaboard's Exchange Rate Effect was $1 million in Q2 2026, down 85.7% from $7 million a year earlier.
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Analysis
Seaboard (SEB) Exchange Rate Effect (2010 - 2026) Analysis & Trends
For FY2025, Exchange Rate Effect at Seaboard came in at $11 million.
- Exchange Rate Effect shows a five-year compound annual growth rate of 22.4% (FY2020 to FY2025).
- In earlier years, Exchange Rate Effect was -$5 million in FY2024, $1 million in FY2023 (unchanged), $1 million in FY2022 and -$4 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Exchange Rate Effect since Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 33.69 Bn | 30.17 Bn | 1.89 Bn | -3.00 Mn |
| 2 | Tyson Foods | 21.12 Bn | 17.37 Bn | 921.00 Mn | - |
| 3 | Bunge Global | 18.99 Bn | 15.90 Bn | 1.33 Bn | 14.00 Mn |
| 4 | Jbs | 13.48 Bn | -1.41 Bn | 2.59 Bn | 9.44 Mn |
| 5 | Darling Ingredients | 8.10 Bn | 7.65 Bn | 503.37 Mn | 10,000.00 |
| 6 | Smithfield Foods | 7.58 Bn | 2.13 Bn | 313.00 Mn | -2.00 Mn |
| 7 | Pilgrims Pride | 6.86 Bn | 4.35 Bn | 333.67 Mn | -867,000.00 |
| 8 | Ingredion | 5.83 Bn | 2.00 Bn | 426.00 Mn | -1.00 Mn |
| 9 | Scotts Miracle-Gro | 3.75 Bn | 3.67 Bn | 365.90 Mn | -300,000.00 |
| 10 | Seaboard | 3.67 Bn | -1.40 Bn | 132.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 1.00 Mn |
| Sep 27, 2025 | 2.00 Mn |
| Jun 28, 2025 | 7.00 Mn |
| Mar 29, 2025 | 2.00 Mn |
| Jun 29, 2024 | -1.00 Mn |
| Mar 30, 2024 | -3.00 Mn |
| Dec 31, 2023 | 3.00 Mn |
| Jul 1, 2023 | -1.00 Mn |
| Apr 1, 2023 | -1.00 Mn |
| Dec 31, 2022 | -2.00 Mn |
| Oct 1, 2022 | 1.00 Mn |
| Jul 2, 2022 | 1.00 Mn |
| Apr 2, 2022 | 1.00 Mn |
| Dec 31, 2021 | -2.00 Mn |
| Oct 2, 2021 | 1.00 Mn |
| Jul 3, 2021 | -2.00 Mn |
| Apr 3, 2021 | -1.00 Mn |
| Dec 31, 2020 | 5.00 Mn |
| Mar 28, 2020 | -1.00 Mn |
| Dec 31, 2019 | 2.00 Mn |
API Access
Seaboard Exchange Rate Effect 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=exchange-rate-effect&ticker=SEB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=SEB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();