Jbs (JBS) Operating Expenses (2024 - 2026)
Jbs (JBS) posted Operating Expenses of $1.99 billion for the quarter ended Jun 30, 2026, up 15.2% from $1.73 billion a year earlier.
Jbs (JBS) Operating Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Jbs was -$3.52 billion; for the year ended Dec 31, 2025, it was -$7.14 billion.
- In prior years, Jbs' Operating Expenses was -$7.21 billion in the year ended Dec 31, 2024 and -$6.88 billion in the year ended Dec 31, 2023.
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Operating Expenses in data going back to the quarter ended Mar 31, 2024.
- According to Business Quant data, Operating Expenses for the three prior quarters was -$1.84 billion (quarter ended Mar 31, 2026), -$1.92 billion (quarter ended Dec 31, 2025) and -$1.75 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 32.98 Bn | 29.75 Bn | 1.89 Bn | 951.00 Mn |
| 2 | Tyson Foods | 21.20 Bn | 17.56 Bn | 921.00 Mn | 559.00 Mn |
| 3 | Bunge Global | 19.10 Bn | 17.51 Bn | 1.33 Bn | 605.00 Mn |
| 4 | Jbs | 13.72 Bn | -1.87 Bn | 2.41 Bn | 1.90 Bn |
| 5 | Darling Ingredients | 7.99 Bn | 7.57 Bn | 477.54 Mn | 1.62 Bn |
| 6 | Smithfield Foods | 7.58 Bn | 2.40 Bn | 313.00 Mn | 193.00 Mn |
| 7 | Pilgrims Pride | 6.72 Bn | 4.22 Bn | 333.67 Mn | 142.17 Mn |
| 8 | Ingredion | 5.73 Bn | 1.83 Bn | 399.00 Mn | 215.00 Mn |
| 9 | Scotts Miracle-Gro | 3.79 Bn | 3.79 Bn | - | - |
| 10 | Seaboard | 3.62 Bn | -1.43 Bn | 132.00 Mn | 119.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.90 Bn |
| Jun 30, 2026 | 1.99 Bn |
| Mar 31, 2026 | 1.84 Bn |
| Dec 31, 2025 | 1.92 Bn |
| Sep 30, 2025 | 1.75 Bn |
| Jun 30, 2025 | 1.73 Bn |
| Mar 31, 2025 | 1.74 Bn |
| Dec 31, 2024 | 2.01 Bn |
| Sep 30, 2024 | 1.73 Bn |
| Jun 30, 2024 | 1.84 Bn |
| Mar 31, 2024 | 1.64 Bn |
Jbs Operating 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=operating-expenses&ticker=JBS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=JBS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();