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 | 38.74 Bn | 35.03 Bn | 1.94 Bn | 1.04 Bn |
| 2 | Bunge Global | 20.95 Bn | 18.46 Bn | 1.68 Bn | 606.00 Mn |
| 3 | Tyson Foods | 17.92 Bn | 14.28 Bn | 921.00 Mn | 559.00 Mn |
| 4 | Jbs | 12.87 Bn | -20.24 Bn | 2.59 Bn | 1.99 Bn |
| 5 | Darling Ingredients | 9.56 Bn | 9.16 Bn | 503.37 Mn | 1.52 Bn |
| 6 | Smithfield Foods | 7.54 Bn | 2.49 Bn | 478.00 Mn | 191.00 Mn |
| 7 | Pilgrims Pride | 6.69 Bn | 4.52 Bn | 339.75 Mn | 273.80 Mn |
| 8 | Ingredion | 6.08 Bn | 2.26 Bn | 426.00 Mn | 45.00 Mn |
| 9 | Seaboard | 3.94 Bn | -881.67 Mn | 221.00 Mn | 121.00 Mn |
| 10 | Cal-Maine Foods | 3.16 Bn | 2.05 Bn | 34.07 Mn | 93.59 Mn |
Historic Data
| Date | Value |
|---|---|
| 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();