Archer-Daniels-Midland (ADM) Operating Expenses (2009 - 2026)
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Analysis
Archer-Daniels-Midland (ADM) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 33.69 Bn | 30.17 Bn | 1.89 Bn | 951.00 Mn |
| 2 | Tyson Foods | 21.12 Bn | 17.37 Bn | 921.00 Mn | 559.00 Mn |
| 3 | Bunge Global | 18.99 Bn | 15.90 Bn | 1.33 Bn | 605.00 Mn |
| 4 | Jbs | 13.48 Bn | -1.41 Bn | 2.59 Bn | 1.99 Bn |
| 5 | Darling Ingredients | 8.10 Bn | 7.65 Bn | 503.37 Mn | 1.52 Bn |
| 6 | Smithfield Foods | 7.58 Bn | 2.13 Bn | 313.00 Mn | 193.00 Mn |
| 7 | Pilgrims Pride | 6.86 Bn | 4.35 Bn | 333.67 Mn | 142.17 Mn |
| 8 | Ingredion | 5.83 Bn | 2.00 Bn | 426.00 Mn | 45.00 Mn |
| 9 | Scotts Miracle-Gro | 3.75 Bn | 3.67 Bn | 365.90 Mn | 192.60 Mn |
| 10 | Seaboard | 3.67 Bn | -1.40 Bn | 132.00 Mn | 119.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 951.00 Mn |
| Jun 30, 2026 | 1.04 Bn |
| Mar 31, 2026 | 973.00 Mn |
| Dec 31, 2025 | 945.00 Mn |
| Sep 30, 2025 | 1.12 Bn |
| Jun 30, 2025 | 1.05 Bn |
| Mar 31, 2025 | 970.00 Mn |
| Dec 31, 2024 | 956.00 Mn |
| Sep 30, 2024 | 1.41 Bn |
| Jun 30, 2024 | 914.00 Mn |
| Mar 31, 2024 | 969.00 Mn |
| Dec 31, 2023 | 1.12 Bn |
| Sep 30, 2023 | 894.00 Mn |
| Jun 30, 2023 | 901.00 Mn |
| Mar 31, 2023 | 888.00 Mn |
| Dec 31, 2022 | 933.00 Mn |
| Sep 30, 2022 | 846.00 Mn |
| Jun 30, 2022 | 815.00 Mn |
| Mar 31, 2022 | 830.00 Mn |
| Dec 31, 2021 | 866.00 Mn |
API Access
Archer-Daniels-Midland 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=ADM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ADM", "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=ADM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();