Archer-Daniels-Midland (ADM) Total Non-Current Liabilities (2009 - 2026)
Archer-Daniels-Midland's Total Non-Current Liabilities was $10.75 billion in Q3 2026, up 8.6% from $9.9 billion a year earlier and up 11.5% from the prior quarter.
Archer-Daniels-Midland (ADM) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Archer-Daniels-Midland came in at $9.83 billion, down 9.9% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -3.0% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $10.9 billion in FY2024 (-5.2%), $11.5 billion in FY2023 (+4.9%), $10.97 billion in FY2022 (-4.0%) and $11.42 billion in FY2021 (-0.2%).
- The Q3 2026 figure marks the highest quarterly Total Non-Current Liabilities since Q2 2025.
- Compared with a year earlier, Total Non-Current Liabilities was higher in 1 of the last eight quarters, with an average decline of 6.3%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2026 (growth of 8.6%); the worst was Q1 2023 (a decline of 11.8%).
- Per Business Quant data, ADM's Total Non-Current Liabilities in the three quarters before Q3 2026 was $9.64 billion (Q2 2026), $9.62 billion (Q1 2026) and $9.83 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 33.69 Bn | 30.17 Bn | 1.89 Bn | 10.75 Bn |
| 2 | Tyson Foods | 21.12 Bn | 17.37 Bn | 921.00 Mn | 15.41 Bn |
| 3 | Bunge Global | 18.99 Bn | 15.90 Bn | 1.33 Bn | 30.43 Bn |
| 4 | Jbs | 13.48 Bn | -1.41 Bn | 2.59 Bn | 25.20 Bn |
| 5 | Darling Ingredients | 8.10 Bn | 7.65 Bn | 503.37 Mn | 5.50 Bn |
| 6 | Smithfield Foods | 7.58 Bn | 2.13 Bn | 313.00 Mn | 4.95 Bn |
| 7 | Pilgrims Pride | 6.86 Bn | 4.35 Bn | 333.67 Mn | 7.02 Bn |
| 8 | Ingredion | 5.83 Bn | 2.00 Bn | 426.00 Mn | - |
| 9 | Scotts Miracle-Gro | 3.75 Bn | 3.67 Bn | 365.90 Mn | 2.95 Bn |
| 10 | Seaboard | 3.67 Bn | -1.40 Bn | 132.00 Mn | 3.10 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.75 Bn |
| Jun 30, 2026 | 9.64 Bn |
| Mar 31, 2026 | 9.62 Bn |
| Dec 31, 2025 | 9.83 Bn |
| Sep 30, 2025 | 9.90 Bn |
| Jun 30, 2025 | 10.84 Bn |
| Mar 31, 2025 | 10.85 Bn |
| Dec 31, 2024 | 10.90 Bn |
| Sep 30, 2024 | 10.93 Bn |
| Jun 30, 2024 | 11.55 Bn |
| Mar 31, 2024 | 11.56 Bn |
| Dec 31, 2023 | 11.50 Bn |
| Sep 30, 2023 | 11.41 Bn |
| Jun 30, 2023 | 11.43 Bn |
| Mar 31, 2023 | 10.88 Bn |
| Dec 31, 2022 | 10.97 Bn |
| Sep 30, 2022 | 11.05 Bn |
| Jun 30, 2022 | 11.48 Bn |
| Mar 31, 2022 | 12.33 Bn |
| Dec 31, 2021 | 11.42 Bn |
Archer-Daniels-Midland Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=ADM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=ADM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();