Agco (AGCO) Operating Expenses (2009 - 2026)
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Analysis
Agco (AGCO) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 16.47 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 7.11 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 1.52 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 1.07 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 5.03 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 1.39 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 717.00 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 557.10 Mn |
| 10 | Agco | 7.80 Bn | 5.72 Bn | 565.40 Mn | 310.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 310.30 Mn |
| Jun 30, 2026 | 346.90 Mn |
| Mar 31, 2026 | 349.10 Mn |
| Dec 31, 2025 | 361.20 Mn |
| Sep 30, 2025 | 349.50 Mn |
| Jun 30, 2025 | 342.00 Mn |
| Mar 31, 2025 | 338.80 Mn |
| Dec 31, 2024 | 454.20 Mn |
| Sep 30, 2024 | 354.80 Mn |
| Jun 30, 2024 | 410.00 Mn |
| Mar 31, 2024 | 351.40 Mn |
| Dec 31, 2023 | 420.40 Mn |
| Sep 30, 2023 | 496.00 Mn |
| Jun 30, 2023 | 495.20 Mn |
| Mar 31, 2023 | 452.80 Mn |
| Dec 31, 2022 | 462.20 Mn |
| Sep 30, 2022 | 393.20 Mn |
| Jun 30, 2022 | 410.40 Mn |
| Mar 31, 2022 | 374.40 Mn |
| Dec 31, 2021 | 403.10 Mn |
API Access
Agco Operating Expenses 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=operating-expenses&ticker=AGCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AGCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();