Archer-Daniels-Midland (ADM) Total Liabilities (2009 - 2026)
Archer-Daniels-Midland's Total Liabilities was $31.54 billion in Q3 2026, up 7.2% from $29.42 billion a year earlier and up 5.3% 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 has increased for three straight quarters, with growth averaging 0.5% over the last eight quarters.
- 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 Q3 2026 was $29.95 billion (Q2 2026), $32.79 billion (Q1 2026) and $29.65 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 33.69 Bn | 30.17 Bn | 1.89 Bn | 31.54 Bn |
| 2 | Tyson Foods | 21.12 Bn | 17.37 Bn | 921.00 Mn | 17.43 Bn |
| 3 | Bunge Global | 18.99 Bn | 15.90 Bn | 1.33 Bn | 31.85 Bn |
| 4 | Jbs | 13.48 Bn | -1.41 Bn | 2.59 Bn | 37.61 Bn |
| 5 | Darling Ingredients | 8.10 Bn | 7.65 Bn | 503.37 Mn | 5.68 Bn |
| 6 | Smithfield Foods | 7.58 Bn | 2.13 Bn | 313.00 Mn | 5.14 Bn |
| 7 | Pilgrims Pride | 6.86 Bn | 4.35 Bn | 333.67 Mn | 7.05 Bn |
| 8 | Ingredion | 5.83 Bn | 2.00 Bn | 426.00 Mn | 3.55 Bn |
| 9 | Scotts Miracle-Gro | 3.75 Bn | 3.67 Bn | 365.90 Mn | 3.38 Bn |
| 10 | Seaboard | 3.67 Bn | -1.40 Bn | 132.00 Mn | 3.25 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 31.54 Bn |
| 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 |
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();