Archer-Daniels-Midland (ADM) EBITDA (2009 - 2026)
Archer-Daniels-Midland (ADM) recorded EBITDA of $1.23 billion in Q3 2026, up 175.2% from $447 million a year earlier and up 3.4% 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 $3.54 billion as of Sep 30, 2026, up 57.4% 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 Q3 2026 figure is the highest quarterly EBITDA since Q2 2023.
- On a year-over-year basis, EBITDA has increased for three consecutive quarters, with growth averaging 31.8% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 175.2% in Q3 2026, against a decline of 79.5% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.19 billion (Q2 2026), $542 million (Q1 2026) and $575 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 33.94 Bn | 30.42 Bn | 1.89 Bn | 1.23 Bn |
| 2 | Tyson Foods | 21.10 Bn | 17.35 Bn | 921.00 Mn | 691.00 Mn |
| 3 | Bunge Global | 19.46 Bn | 16.37 Bn | 1.33 Bn | 975.00 Mn |
| 4 | Jbs | 14.01 Bn | -19.25 Bn | 2.59 Bn | 1.24 Bn |
| 5 | Darling Ingredients | 8.33 Bn | 7.88 Bn | 503.37 Mn | 686.72 Mn |
| 6 | Smithfield Foods | 7.67 Bn | 2.22 Bn | 313.00 Mn | 213.00 Mn |
| 7 | Pilgrims Pride | 7.05 Bn | 4.54 Bn | 333.67 Mn | 315.85 Mn |
| 8 | Ingredion | 5.86 Bn | 2.04 Bn | 426.00 Mn | 243.00 Mn |
| 9 | Scotts Miracle-Gro | 3.85 Bn | 3.77 Bn | 365.90 Mn | 186.30 Mn |
| 10 | Seaboard | 3.62 Bn | -1.45 Bn | 132.00 Mn | 95.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.23 Bn |
| 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 |
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();