Archer-Daniels-Midland (ADM) Other Accumulated Expenses (2011 - 2026)
Archer-Daniels-Midland (ADM) posted Other Accumulated Expenses of $3.98 billion for Q2 2026, up 14.9% from $3.47 billion a year earlier but down 1.7% from the prior quarter.
Archer-Daniels-Midland (ADM) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Archer-Daniels-Midland's Other Accumulated Expenses came in at $3.31 billion, down 11.2% from FY2024.
- Annual Other Accumulated Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -7.7% (FY2020 to FY2025).
- In prior years, Archer-Daniels-Midland's Other Accumulated Expenses was $3.73 billion in FY2024 (-8.5%), $4.08 billion in FY2023 (-15.0%), $4.8 billion in FY2022 (+0.1%) and $4.79 billion in FY2021 (-3.1%).
- Quarterly Other Accumulated Expenses has run from a low of $3.07 billion in Q3 2025 to a high of $6.36 billion in Q1 2022 over five years.
- On a year-over-year basis, Other Accumulated Expenses increased in two of the last eight quarters, with an average decline of 3.8%.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q1 2022, with growth of 43.1%; the weakest was Q1 2023, with a decline of 37.4%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $4.05 billion (Q1 2026), $3.31 billion (Q4 2025) and $3.07 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn |
| 10 | Cal-Maine Foods | 3.11 Bn | 2.14 Bn | 403,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.98 Bn |
| Mar 31, 2026 | 4.05 Bn |
| Dec 31, 2025 | 3.31 Bn |
| Sep 30, 2025 | 3.07 Bn |
| Jun 30, 2025 | 3.47 Bn |
| Mar 31, 2025 | 3.51 Bn |
| Dec 31, 2024 | 3.73 Bn |
| Sep 30, 2024 | 3.67 Bn |
| Jun 30, 2024 | 3.57 Bn |
| Mar 31, 2024 | 3.92 Bn |
| Dec 31, 2023 | 4.08 Bn |
| Sep 30, 2023 | 4.14 Bn |
| Jun 30, 2023 | 4.27 Bn |
| Mar 31, 2023 | 3.98 Bn |
| Dec 31, 2022 | 4.80 Bn |
| Sep 30, 2022 | 4.69 Bn |
| Jun 30, 2022 | 5.01 Bn |
| Mar 31, 2022 | 6.36 Bn |
| Dec 31, 2021 | 4.79 Bn |
| Sep 30, 2021 | 4.12 Bn |
Archer-Daniels-Midland 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=ADM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=ADM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();