Archer-Daniels-Midland (ADM) Total Liabilities (2009 - 2026)
Archer-Daniels-Midland's Total Liabilities was $29.95 billion in Q2 2026, up 1.3% from $29.56 billion a year earlier but down 8.7% from the prior quarter.
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Analysis
Archer-Daniels-Midland (ADM) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Archer-Daniels-Midland came in at $29.65 billion, down 4.6% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $31.09 billion in FY2024 (+2.0%), $30.49 billion in FY2023 (-14.0%), $35.46 billion in FY2022 (+5.4%) and $33.63 billion in FY2021 (+13.2%).
- Quarterly Total Liabilities has moved between $29.42 billion (Q3 2025) and $41.11 billion (Q1 2022) over five years.
- Compared with a year earlier, Total Liabilities was higher in four of the last eight quarters, with an average decline of 0.3%.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2022 (growth of 34.3%); the worst was Q2 2023 (a decline of 18.4%).
- Per Business Quant data, ADM's Total Liabilities in the three quarters before Q2 2026 was $32.79 billion (Q1 2026), $29.65 billion (Q4 2025) and $29.42 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.28 Bn | 34.57 Bn | 1.94 Bn | 29.95 Bn |
| 2 | Bunge Global | 20.79 Bn | 18.30 Bn | 1.68 Bn | 29.44 Bn |
| 3 | Tyson Foods | 17.93 Bn | 14.29 Bn | 921.00 Mn | 17.43 Bn |
| 4 | Jbs | 12.60 Bn | -20.51 Bn | 2.59 Bn | 37.61 Bn |
| 5 | Darling Ingredients | 9.52 Bn | 9.12 Bn | 503.37 Mn | 5.68 Bn |
| 6 | Smithfield Foods | 7.49 Bn | 2.44 Bn | 478.00 Mn | 5.01 Bn |
| 7 | Pilgrims Pride | 6.49 Bn | 4.32 Bn | 339.75 Mn | 6.27 Bn |
| 8 | Ingredion | 6.09 Bn | 2.26 Bn | 426.00 Mn | 3.55 Bn |
| 9 | Seaboard | 3.89 Bn | -931.52 Mn | 221.00 Mn | 3.17 Bn |
| 10 | Cal-Maine Foods | 3.22 Bn | 2.10 Bn | 34.07 Mn | 467.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.95 Bn |
| Mar 31, 2026 | 32.79 Bn |
| Dec 31, 2025 | 29.65 Bn |
| Sep 30, 2025 | 29.42 Bn |
| Jun 30, 2025 | 29.56 Bn |
| Mar 31, 2025 | 31.28 Bn |
| Dec 31, 2024 | 31.09 Bn |
| Sep 30, 2024 | 30.22 Bn |
| Jun 30, 2024 | 30.54 Bn |
| Mar 31, 2024 | 31.60 Bn |
| Dec 31, 2023 | 30.49 Bn |
| Sep 30, 2023 | 29.83 Bn |
| Jun 30, 2023 | 30.52 Bn |
| Mar 31, 2023 | 33.91 Bn |
| Dec 31, 2022 | 35.46 Bn |
| Sep 30, 2022 | 34.28 Bn |
| Jun 30, 2022 | 37.40 Bn |
| Mar 31, 2022 | 41.11 Bn |
| Dec 31, 2021 | 33.63 Bn |
| Sep 30, 2021 | 30.31 Bn |
API Access
Archer-Daniels-Midland Total 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-liabilities&ticker=ADM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=ADM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();