Bunge Global (BG) Asset Writedowns and Impairment (2023 - 2024)
Bunge Global (BG) reported Asset Writedowns and Impairment of $53 million for FY2025, up 29.3% from $41 million in FY2024.
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Analysis
Bunge Global (BG) Asset Writedowns and Impairment (2023 - 2024) Analysis & Trends
Dating back to FY2021, Bunge Global's Asset Writedowns and Impairment record includes 5 years.
- Asset Writedowns and Impairment has a four-year compound annual growth rate of -30.4% (FY2021 to FY2025).
- Five-year annual Asset Writedowns and Impairment spans a low of $41 million in FY2024 and a high of $226 million in FY2021.
- According to Business Quant data, Asset Writedowns and Impairment came in at $41 million in FY2024 (-60.6%), $104 million in FY2023 (-35.8%), $162 million in FY2022 (-28.3%) and $226 million in FY2021.
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, 2024 | 5.00 Mn |
| Sep 30, 2024 | 27.00 Mn |
| Dec 31, 2023 | 48.00 Mn |
| Sep 30, 2023 | 34.00 Mn |
API Access
Bunge Global Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=BG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=BG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();