Agco (AGCO) EBITDA (2009 - 2026)
Agco's EBITDA was $224.9 million in Q2 2026, down 7.8% from $243.8 million a year earlier but up 36.9% from the prior quarter.
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Analysis
Agco (AGCO) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Agco's EBITDA was $943.5 million through Jun 30, 2026, up 152.9% year-over-year; for FY2025, it was $923.3 million, up 339.5% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- In earlier years, EBITDA was $210.1 million in FY2024 (-89.4%), $1.99 billion in FY2023 (+29.5%), $1.54 billion in FY2022 (+19.6%) and $1.28 billion in FY2021 (+47.2%).
- Quarterly EBITDA has moved between -$180.4 million (Q4 2024) and $567 million (Q2 2023) over five years.
- Compared with a year earlier, EBITDA was higher in two of the last five quarters, with an average decline of 15.0%.
- The best year-over-year quarter for EBITDA over five years was Q2 2023 (growth of 71.5%); the worst was Q1 2025 (a decline of 64.3%).
- Per Business Quant data, AGCO's EBITDA in the three quarters before Q2 2026 was $164.3 million (Q1 2026), $317 million (Q4 2025) and $237.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Agco | 8.23 Bn | 5.69 Bn | 645.90 Mn | 224.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 224.90 Mn |
| Mar 31, 2026 | 164.30 Mn |
| Dec 31, 2025 | 317.00 Mn |
| Sep 30, 2025 | 237.30 Mn |
| Jun 30, 2025 | 243.80 Mn |
| Mar 31, 2025 | 125.20 Mn |
| Dec 31, 2024 | -180.40 Mn |
| Sep 30, 2024 | 184.50 Mn |
| Jun 30, 2024 | -144.80 Mn |
| Mar 31, 2024 | 350.80 Mn |
| Dec 31, 2023 | 469.00 Mn |
| Sep 30, 2023 | 496.80 Mn |
| Jun 30, 2023 | 567.00 Mn |
| Mar 31, 2023 | 455.70 Mn |
| Dec 31, 2022 | 532.90 Mn |
| Sep 30, 2022 | 397.40 Mn |
| Jun 30, 2022 | 330.70 Mn |
| Mar 31, 2022 | 274.00 Mn |
| Dec 31, 2021 | 335.80 Mn |
| Sep 30, 2021 | 320.30 Mn |
API Access
Agco 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=AGCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "AGCO", "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=AGCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();