Jbs (JBS) Other Accumulated Expenses (2024 - 2026)
Jbs' Other Accumulated Expenses came in at $861.7 million for the quarter ended Mar 31, 2026, up 36.3% from $632.38 million a year earlier and up 22.3% from the prior quarter.
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Analysis
Jbs (JBS) Other Accumulated Expenses (2024 - 2026) Analysis & Trends
As of Dec 31, 2025, Jbs' Other Accumulated Expenses was $704.51 million, up 54.8% from the prior year.
- Going back by year, Other Accumulated Expenses was $455 million in the year ended Dec 31, 2024.
- Business Quant data shows JBS's Other Accumulated Expenses at $704.51 million (quarter ended Dec 31, 2025), $677.13 million (quarter ended Sep 30, 2025) and $745.44 million (quarter ended Jun 30, 2025) in the three quarters before the quarter ended Mar 31, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.64 Bn | 34.93 Bn | 1.94 Bn |
| 2 | Tyson Foods | 19.95 Bn | 16.31 Bn | 921.00 Mn |
| 3 | Bunge Global | 19.82 Bn | 17.33 Bn | 1.68 Bn |
| 4 | Jbs | 13.76 Bn | -19.50 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 8.87 Bn | 8.48 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.34 Bn | 2.29 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.70 Bn | 4.53 Bn | 339.75 Mn |
| 8 | Ingredion | 6.03 Bn | 2.21 Bn | 426.00 Mn |
| 9 | Seaboard | 3.73 Bn | -1.09 Bn | 221.00 Mn |
| 10 | Scotts Miracle-Gro | 3.45 Bn | 3.38 Bn | 365.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 8.62 Bn |
| Dec 31, 2025 | 8.60 Bn |
| Sep 30, 2025 | 677.13 Mn |
| Jun 30, 2025 | 745.44 Mn |
| Mar 31, 2025 | 632.38 Mn |
| Dec 31, 2024 | 455.00 Mn |
API Access
Jbs Other Accumulated Expenses 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=other-accumulated-expenses&ticker=JBS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "JBS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=JBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();