Archer-Daniels-Midland (ADM) Non Operating Interest Expenses (2009 - 2026)
Archer-Daniels-Midland (ADM) reported Non Operating Interest Expenses of $165 million for Q3 2026, up 7.8% from $153 million a year earlier and up 11.5% from the prior quarter.
Archer-Daniels-Midland (ADM) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Archer-Daniels-Midland's Non Operating Interest Expenses came in at $604 million, down 6.9% year-over-year; for FY2025, it was $612 million, down 13.3% from FY2024.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 12.5% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $706 million in FY2024 (+9.1%), $647 million in FY2023 (+63.4%), $396 million in FY2022 (+49.4%) and $265 million in FY2021 (-21.8%).
- The Q3 2026 figure ranks as the highest quarterly Non Operating Interest Expenses since Q4 2024.
- Year over year, Non Operating Interest Expenses gained in two of the last eight quarters, with an average decline of 6.1%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q2 2023 (growth of 146.6%); the low point was Q4 2025 (a decline of 20.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $148 million (Q2 2026), $149 million (Q1 2026) and $142 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 34.69 Bn | 31.46 Bn | 1.89 Bn | 165.00 Mn |
| 2 | Tyson Foods | 20.70 Bn | 17.06 Bn | 921.00 Mn | 98.00 Mn |
| 3 | Bunge Global | 19.53 Bn | 17.95 Bn | 1.33 Bn | 208.00 Mn |
| 4 | Jbs | 13.49 Bn | -2.10 Bn | 2.41 Bn | 472.69 Mn |
| 5 | Darling Ingredients | 8.67 Bn | 8.25 Bn | 477.54 Mn | 51.46 Mn |
| 6 | Smithfield Foods | 7.56 Bn | 2.38 Bn | 313.00 Mn | 6.00 Mn |
| 7 | Pilgrims Pride | 6.70 Bn | 4.20 Bn | 333.67 Mn | 31.78 Mn |
| 8 | Ingredion | 5.86 Bn | 1.97 Bn | 399.00 Mn | 5.00 Mn |
| 9 | Scotts Miracle-Gro | 3.71 Bn | 3.71 Bn | - | 26.10 Mn |
| 10 | Seaboard | 3.59 Bn | -1.46 Bn | 132.00 Mn | 21.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 165.00 Mn |
| Jun 30, 2026 | 148.00 Mn |
| Mar 31, 2026 | 149.00 Mn |
| Dec 31, 2025 | 142.00 Mn |
| Sep 30, 2025 | 153.00 Mn |
| Jun 30, 2025 | 159.00 Mn |
| Mar 31, 2025 | 158.00 Mn |
| Dec 31, 2024 | 179.00 Mn |
| Sep 30, 2024 | 174.00 Mn |
| Jun 30, 2024 | 187.00 Mn |
| Mar 31, 2024 | 166.00 Mn |
| Dec 31, 2023 | 165.00 Mn |
| Sep 30, 2023 | 155.00 Mn |
| Jun 30, 2023 | 180.00 Mn |
| Mar 31, 2023 | 147.00 Mn |
| Dec 31, 2022 | 134.00 Mn |
| Sep 30, 2022 | 97.00 Mn |
| Jun 30, 2022 | 73.00 Mn |
| Mar 31, 2022 | 92.00 Mn |
| Dec 31, 2021 | 77.00 Mn |
Archer-Daniels-Midland Non Operating Interest 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=non-operating-interest-expenses&ticker=ADM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=ADM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();