Agco (AGCO) EBIT (2009 - 2026)
Agco (AGCO) recorded EBIT of $140.7 million in Q2 2026, down 14.2% from $164 million a year earlier but up 74.3% from the prior quarter.
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Analysis
Agco (AGCO) EBIT (2009 - 2026) Analysis & Trends
On a TTM basis, Agco's EBIT came in at $603.7 million as of Jun 30, 2026, up 916.3% year-over-year; for FY2025, it came in at $595.7 million.
- Annual EBIT has a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- Across earlier years, EBIT came in at -$122.1 million in FY2024, $1.7 billion in FY2023 (+34.4%), $1.27 billion in FY2022 (+26.4%) and $1 billion in FY2021 (+67.0%).
- Quarterly EBIT has ranged from -$268.8 million in Q4 2024 to $496.4 million in Q2 2023 over the past five years.
- On a year-over-year basis, EBIT rose in two of the last five quarters, with an average decline of 14.7%.
- Peak year-over-year performance for EBIT in the last five years was growth of 89.9% in Q1 2023, against a decline of 81.9% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $80.7 million (Q1 2026), $230.7 million (Q4 2025) and $151.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 4.30 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 1.86 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.39 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 1.37 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 637.90 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.31 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 984.00 Mn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 1.15 Bn |
| 10 | Agco | 8.23 Bn | 5.69 Bn | 645.90 Mn | 140.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 140.70 Mn |
| Mar 31, 2026 | 80.70 Mn |
| Dec 31, 2025 | 230.70 Mn |
| Sep 30, 2025 | 151.60 Mn |
| Jun 30, 2025 | 164.00 Mn |
| Mar 31, 2025 | 49.40 Mn |
| Dec 31, 2024 | -268.80 Mn |
| Sep 30, 2024 | 114.80 Mn |
| Jun 30, 2024 | -241.70 Mn |
| Mar 31, 2024 | 273.60 Mn |
| Dec 31, 2023 | 393.10 Mn |
| Sep 30, 2023 | 423.60 Mn |
| Jun 30, 2023 | 496.40 Mn |
| Mar 31, 2023 | 387.30 Mn |
| Dec 31, 2022 | 465.80 Mn |
| Sep 30, 2022 | 332.10 Mn |
| Jun 30, 2022 | 263.50 Mn |
| Mar 31, 2022 | 204.00 Mn |
| Dec 31, 2021 | 264.00 Mn |
| Sep 30, 2021 | 251.90 Mn |
API Access
Agco EBIT 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=ebit&ticker=AGCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=AGCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();