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.
Seaboard (SEB) Exchange Rate Effect (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Seaboard's Exchange Rate Effect was $3 million through Jul 4, 2026, down 40.0% year-over-year; for FY2025, it was $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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn | 8.00 Mn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn | 1.00 Mn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn | - |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn | 9.40 Mn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn | 10,000.00 |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn | 7.00 Mn |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn | 615,000.00 |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn | -1.00 Mn |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn | 1.00 Mn |
| 10 | Cal-Maine Foods | 3.18 Bn | 2.21 Bn | 403,000.00 | - |
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 |
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_KEY
import 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();