Archer-Daniels-Midland (ADM) Operating Expenses (2009 - 2026)
Archer-Daniels-Midland's Operating Expenses came in at $1.04 billion for Q2 2026, down 0.9% from $1.05 billion a year earlier but up 6.8% from the prior quarter.
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Analysis
Archer-Daniels-Midland (ADM) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Archer-Daniels-Midland reported Operating Expenses of $4.08 billion, down 7.1% year-over-year; for FY2025, it came in at $4.08 billion, down 4.0% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $4.25 billion in FY2024 (+11.9%), $3.8 billion in FY2023 (+10.9%), $3.42 billion in FY2022 (+8.4%) and $3.16 billion in FY2021 (+14.1%).
- The five-year range for quarterly Operating Expenses is $722 million (Q3 2021) to $1.41 billion (Q3 2024).
- Year-over-year, Operating Expenses increased in four of the last eight quarters, with growth averaging 4.5%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2024 (growth of 57.9%), and the weakest in Q3 2025 (a decline of 20.8%).
- Business Quant data shows ADM's Operating Expenses at $973 million (Q1 2026), $945 million (Q4 2025) and $1.12 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.28 Bn | 34.57 Bn | 1.94 Bn | 1.04 Bn |
| 2 | Bunge Global | 20.79 Bn | 18.30 Bn | 1.68 Bn | 606.00 Mn |
| 3 | Tyson Foods | 17.93 Bn | 14.29 Bn | 921.00 Mn | 559.00 Mn |
| 4 | Jbs | 12.60 Bn | -20.51 Bn | 2.59 Bn | 1.99 Bn |
| 5 | Darling Ingredients | 9.52 Bn | 9.12 Bn | 503.37 Mn | 1.52 Bn |
| 6 | Smithfield Foods | 7.49 Bn | 2.44 Bn | 478.00 Mn | 191.00 Mn |
| 7 | Pilgrims Pride | 6.49 Bn | 4.32 Bn | 339.75 Mn | 273.80 Mn |
| 8 | Ingredion | 6.09 Bn | 2.26 Bn | 426.00 Mn | 45.00 Mn |
| 9 | Seaboard | 3.89 Bn | -931.52 Mn | 221.00 Mn | 121.00 Mn |
| 10 | Cal-Maine Foods | 3.22 Bn | 2.10 Bn | 34.07 Mn | 93.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 722.00 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();