Archer-Daniels-Midland (ADM) Inventory (2009 - 2026)
Archer-Daniels-Midland (ADM) posted Inventory of $10.59 billion for Q2 2026, up 8.9% from $9.72 billion a year earlier but down 9.8% from the prior quarter.
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Analysis
Archer-Daniels-Midland (ADM) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2025, Archer-Daniels-Midland's Inventory came in at $10.37 billion, down 10.4% from FY2024.
- Annual Inventory has declined for three consecutive years, with a five-year compound annual growth rate of -2.4% (FY2020 to FY2025).
- In prior years, Archer-Daniels-Midland's Inventory was $11.57 billion in FY2024 (-3.2%), $11.96 billion in FY2023 (-19.1%), $14.77 billion in FY2022 (+2.0%) and $14.48 billion in FY2021 (+23.6%).
- Quarterly Inventory has run from a low of $8.7 billion in Q3 2025 to a high of $17.29 billion in Q1 2022 over five years.
- On a year-over-year basis, Inventory increased in two of the last eight quarters, with an average decline of 4.3%.
- The strongest year-over-year quarter for Inventory in the past five years was Q1 2022, with growth of 35.5%; the weakest was Q1 2024, with a decline of 21.2%.
- According to Business Quant data, Inventory for the three prior quarters was $11.74 billion (Q1 2026), $10.37 billion (Q4 2025) and $8.7 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.74 Bn | 35.03 Bn | 1.94 Bn | 10.59 Bn |
| 2 | Bunge Global | 20.95 Bn | 18.46 Bn | 1.68 Bn | 15.46 Bn |
| 3 | Tyson Foods | 17.92 Bn | 14.28 Bn | 921.00 Mn | 5.84 Bn |
| 4 | Jbs | 12.87 Bn | -20.24 Bn | 2.59 Bn | 7.00 Bn |
| 5 | Darling Ingredients | 9.56 Bn | 9.16 Bn | 503.37 Mn | 605.36 Mn |
| 6 | Smithfield Foods | 7.54 Bn | 2.49 Bn | 478.00 Mn | 2.38 Bn |
| 7 | Pilgrims Pride | 6.69 Bn | 4.52 Bn | 339.75 Mn | 2.03 Bn |
| 8 | Ingredion | 6.08 Bn | 2.26 Bn | 426.00 Mn | 1.11 Bn |
| 9 | Seaboard | 3.94 Bn | -881.67 Mn | 221.00 Mn | 1.81 Bn |
| 10 | Cal-Maine Foods | 3.16 Bn | 2.05 Bn | 34.07 Mn | 375.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.59 Bn |
| Mar 31, 2026 | 11.74 Bn |
| Dec 31, 2025 | 10.37 Bn |
| Sep 30, 2025 | 8.70 Bn |
| Jun 30, 2025 | 9.72 Bn |
| Mar 31, 2025 | 11.55 Bn |
| Dec 31, 2024 | 11.57 Bn |
| Sep 30, 2024 | 10.75 Bn |
| Jun 30, 2024 | 10.44 Bn |
| Mar 31, 2024 | 11.63 Bn |
| Dec 31, 2023 | 11.96 Bn |
| Sep 30, 2023 | 11.22 Bn |
| Jun 30, 2023 | 11.90 Bn |
| Mar 31, 2023 | 14.77 Bn |
| Dec 31, 2022 | 14.77 Bn |
| Sep 30, 2022 | 13.28 Bn |
| Jun 30, 2022 | 14.49 Bn |
| Mar 31, 2022 | 17.29 Bn |
| Dec 31, 2021 | 14.48 Bn |
| Sep 30, 2021 | 11.17 Bn |
API Access
Archer-Daniels-Midland Inventory 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=inventory&ticker=ADM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=ADM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();