Archer-Daniels-Midland (ADM) EBITDA (2009 - 2026)
Archer-Daniels-Midland (ADM) recorded EBITDA of $1.19 billion in Q2 2026, up 94.0% from $613 million a year earlier and up 119.4% from the prior quarter.
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Analysis
Archer-Daniels-Midland (ADM) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Archer-Daniels-Midland's EBITDA came in at $2.75 billion as of Jun 30, 2026, up 35.0% year-over-year; for FY2025, it was $2.13 billion, down 20.1% from FY2024.
- Annual EBITDA has declined for three straight years, with a five-year compound annual growth rate of -4.3% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $2.67 billion in FY2024 (-44.1%), $4.77 billion in FY2023 (-7.7%), $5.17 billion in FY2022 (+35.3%) and $3.83 billion in FY2021 (+43.7%).
- The Q2 2026 figure is the highest quarterly EBITDA since Q2 2023.
- On a year-over-year basis, EBITDA rose in three of the last eight quarters, with an average year-over-year change of 0.0%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 94.0% in Q2 2026, against a decline of 79.5% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $542 million (Q1 2026), $575 million (Q4 2025) and $447 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.74 Bn | 35.03 Bn | 1.94 Bn | 1.19 Bn |
| 2 | Bunge Global | 20.95 Bn | 18.46 Bn | 1.68 Bn | 1.33 Bn |
| 3 | Tyson Foods | 17.92 Bn | 14.28 Bn | 921.00 Mn | 691.00 Mn |
| 4 | Jbs | 12.87 Bn | -20.24 Bn | 2.59 Bn | 1.24 Bn |
| 5 | Darling Ingredients | 9.56 Bn | 9.16 Bn | 503.37 Mn | 685.42 Mn |
| 6 | Smithfield Foods | 7.54 Bn | 2.49 Bn | 478.00 Mn | 375.00 Mn |
| 7 | Pilgrims Pride | 6.69 Bn | 4.52 Bn | 339.75 Mn | 189.26 Mn |
| 8 | Ingredion | 6.08 Bn | 2.26 Bn | 426.00 Mn | 243.00 Mn |
| 9 | Seaboard | 3.94 Bn | -881.67 Mn | 221.00 Mn | 183.00 Mn |
| 10 | Cal-Maine Foods | 3.16 Bn | 2.05 Bn | 34.07 Mn | -24.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.19 Bn |
| Mar 31, 2026 | 542.00 Mn |
| Dec 31, 2025 | 575.00 Mn |
| Sep 30, 2025 | 447.00 Mn |
| Jun 30, 2025 | 613.00 Mn |
| Mar 31, 2025 | 497.00 Mn |
| Dec 31, 2024 | 689.00 Mn |
| Sep 30, 2024 | 241.00 Mn |
| Jun 30, 2024 | 768.00 Mn |
| Mar 31, 2024 | 970.00 Mn |
| Dec 31, 2023 | 902.00 Mn |
| Sep 30, 2023 | 1.18 Bn |
| Jun 30, 2023 | 1.24 Bn |
| Mar 31, 2023 | 1.45 Bn |
| Dec 31, 2022 | 1.08 Bn |
| Sep 30, 2022 | 1.23 Bn |
| Jun 30, 2022 | 1.54 Bn |
| Mar 31, 2022 | 1.32 Bn |
| Dec 31, 2021 | 1.04 Bn |
| Sep 30, 2021 | 851.00 Mn |
API Access
Archer-Daniels-Midland EBITDA 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=ebitda&ticker=ADM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ADM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();