Bunge Global (BG) Gains from Sales and Divestitures (2024 - 2025)
Bunge Global's Gains from Sales and Divestitures came in at $5 million for Q4 2025, down 97.5% from $203 million a year earlier and down 28.6% from the prior quarter.
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Analysis
Bunge Global (BG) Gains from Sales and Divestitures (2024 - 2025) Analysis & Trends
For FY2025, Bunge Global's Gains from Sales and Divestitures was $160 million, down 22.0% from FY2024.
- Gains from Sales and Divestitures carries a four-year compound annual growth rate of -21.3% (FY2021 to FY2025).
- Going back by year, Gains from Sales and Divestitures was $205 million in FY2024, $4 million in FY2023 (-33.3%), $6 million in FY2022 (-98.6%) and $417 million in FY2021.
- The Q4 2025 figure represents the lowest quarterly Gains from Sales and Divestitures since Q3 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn |
| 10 | Cal-Maine Foods | 3.11 Bn | 2.14 Bn | 403,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 5.00 Mn |
| Sep 30, 2025 | 7.00 Mn |
| Dec 31, 2024 | 203.00 Mn |
| Sep 30, 2024 | 1.00 Mn |
API Access
Bunge Global Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=BG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=BG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();