Bunge Global (BG) Exchange Rate Effect (2023 - 2026)
Bunge Global's Exchange Rate Effect was $14 million in Q3 2026, compared with -$2 million a year earlier.
Bunge Global (BG) Exchange Rate Effect (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bunge Global's Exchange Rate Effect was $2 million through Sep 30, 2026, down 83.3% year-over-year; for FY2025, it was -$8 million.
- In earlier years, Exchange Rate Effect was $9 million in FY2024 (-67.9%), $28 million in FY2023 (-57.6%), $66 million in FY2022 and -$63 million in FY2021.
- The Q3 2026 figure marks the highest quarterly Exchange Rate Effect since Q1 2023.
- Per Business Quant data, BG's Exchange Rate Effect in the three quarters before Q3 2026 was $1 million (Q2 2026), -$2 million (Q1 2026) and -$11 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 33.94 Bn | 30.42 Bn | 1.89 Bn | -3.00 Mn |
| 2 | Tyson Foods | 21.10 Bn | 17.35 Bn | 921.00 Mn | - |
| 3 | Bunge Global | 19.46 Bn | 16.37 Bn | 1.33 Bn | 14.00 Mn |
| 4 | Jbs | 14.01 Bn | -19.25 Bn | 2.59 Bn | 9.44 Mn |
| 5 | Darling Ingredients | 8.33 Bn | 7.88 Bn | 503.37 Mn | 10,000.00 |
| 6 | Smithfield Foods | 7.67 Bn | 2.22 Bn | 313.00 Mn | -2.00 Mn |
| 7 | Pilgrims Pride | 7.05 Bn | 4.54 Bn | 333.67 Mn | -867,000.00 |
| 8 | Ingredion | 5.86 Bn | 2.04 Bn | 426.00 Mn | -1.00 Mn |
| 9 | Scotts Miracle-Gro | 3.85 Bn | 3.77 Bn | 365.90 Mn | -300,000.00 |
| 10 | Seaboard | 3.62 Bn | -1.45 Bn | 132.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.00 Mn |
| Jun 30, 2026 | 1.00 Mn |
| Mar 31, 2026 | -2.00 Mn |
| Dec 31, 2025 | -11.00 Mn |
| Sep 30, 2025 | -2.00 Mn |
| Jun 30, 2025 | 9.00 Mn |
| Mar 31, 2025 | -4.00 Mn |
| Dec 31, 2024 | 9.00 Mn |
| Sep 30, 2024 | 6.00 Mn |
| Jun 30, 2024 | 3.00 Mn |
| Mar 31, 2024 | -9.00 Mn |
| Dec 31, 2023 | -12.00 Mn |
| Sep 30, 2023 | 12.00 Mn |
| Mar 31, 2023 | 28.00 Mn |
Bunge Global 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=BG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "BG", "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=BG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();