Agco (AGCO) EBIT (2009 - 2026)
Agco (AGCO) recorded EBIT of $116.1 million in Q3 2026, down 23.4% from $151.6 million a year earlier and down 17.5% from the prior quarter.
Agco (AGCO) EBIT (2009 - 2026) Analysis & Trends
On a TTM basis, Agco's EBIT came in at $568.2 million as of Sep 30, 2026, up 490.6% 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 4.8%.
- 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 $140.7 million (Q2 2026), $80.7 million (Q1 2026) and $230.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 4.21 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 3.02 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 1.86 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 1.59 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 1.20 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 1.56 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 1.35 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 1.18 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 983.80 Mn |
| 10 | Agco | 7.80 Bn | 5.72 Bn | 565.40 Mn | 116.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 116.10 Mn |
| 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 |
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_KEY
import 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();