Archer-Daniels-Midland (ADM) Cash & Equivalents (2009 - 2026)
Archer-Daniels-Midland (ADM) posted Cash & Equivalents of $1.06 billion for Q2 2026, up 0.3% from $1.06 billion a year earlier and up 79.4% from the prior quarter.
Archer-Daniels-Midland (ADM) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Archer-Daniels-Midland's Cash & Equivalents came in at $1.02 billion, up 66.1% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 8.8% (FY2020 to FY2025).
- In prior years, Archer-Daniels-Midland's Cash & Equivalents was $611 million in FY2024 (-55.3%), $1.37 billion in FY2023 (+31.9%), $1.04 billion in FY2022 (+10.0%) and $943 million in FY2021 (+41.6%).
- Quarterly Cash & Equivalents has run from a low of $591 million in Q1 2026 to a high of $1.5 billion in Q3 2023 over five years.
- On a year-over-year basis, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 4.0%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2025, with growth of 66.1%; the weakest was Q4 2024, with a decline of 55.3%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $591 million (Q1 2026), $1.02 billion (Q4 2025) and $1.24 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.78 Bn | 35.07 Bn | 1.94 Bn | 1.06 Bn |
| 2 | Bunge Global | 20.50 Bn | 18.00 Bn | 1.68 Bn | 593.00 Mn |
| 3 | Tyson Foods | 18.25 Bn | 14.61 Bn | 921.00 Mn | 740.00 Mn |
| 4 | Jbs | 12.94 Bn | -20.17 Bn | 2.59 Bn | 3.47 Bn |
| 5 | Darling Ingredients | 9.93 Bn | 9.53 Bn | 503.37 Mn | 160.74 Mn |
| 6 | Smithfield Foods | 7.43 Bn | 2.38 Bn | 478.00 Mn | 1.35 Bn |
| 7 | Pilgrims Pride | 6.55 Bn | 4.38 Bn | 339.75 Mn | 388.84 Mn |
| 8 | Ingredion | 6.02 Bn | 2.19 Bn | 426.00 Mn | 948.00 Mn |
| 9 | Seaboard | 3.87 Bn | -946.73 Mn | 221.00 Mn | 145.00 Mn |
| 10 | Cal-Maine Foods | 3.11 Bn | 2.14 Bn | 403,000.00 | 113.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.06 Bn |
| Mar 31, 2026 | 591.00 Mn |
| Dec 31, 2025 | 1.02 Bn |
| Sep 30, 2025 | 1.24 Bn |
| Jun 30, 2025 | 1.06 Bn |
| Mar 31, 2025 | 864.00 Mn |
| Dec 31, 2024 | 611.00 Mn |
| Sep 30, 2024 | 784.00 Mn |
| Jun 30, 2024 | 764.00 Mn |
| Mar 31, 2024 | 830.00 Mn |
| Dec 31, 2023 | 1.37 Bn |
| Sep 30, 2023 | 1.50 Bn |
| Jun 30, 2023 | 1.43 Bn |
| Mar 31, 2023 | 899.00 Mn |
| Dec 31, 2022 | 1.04 Bn |
| Sep 30, 2022 | 1.10 Bn |
| Jun 30, 2022 | 906.00 Mn |
| Mar 31, 2022 | 1.08 Bn |
| Dec 31, 2021 | 943.00 Mn |
| Sep 30, 2021 | 1.08 Bn |
Archer-Daniels-Midland Cash & Equivalents 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=cash-and-equivalents&ticker=ADM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ADM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();