Agco (AGCO) Capital Expenditures (2009 - 2026)
Agco (AGCO) posted Capital Expenditures of $60.4 million for Q3 2026, down 12.3% from $68.9 million a year earlier but up 5.6% from the prior quarter.
Agco (AGCO) Capital Expenditures (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Capital Expenditures at Agco was $250.8 million, down 8.2% year-over-year; for FY2025, it came in at $247.9 million, down 37.0% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- In prior years, Agco's Capital Expenditures was $393.3 million in FY2024 (-24.1%), $518.1 million in FY2023 (+33.4%), $388.3 million in FY2022 (+43.9%) and $269.8 million in FY2021 (unchanged).
- Quarterly Capital Expenditures has run from a low of $42.2 million in Q2 2025 to a high of $160.4 million in Q4 2023 over five years.
- On a year-over-year basis, Capital Expenditures increased in 1 of the last eight quarters, with an average decline of 20.2%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q1 2023, with growth of 89.0%; the weakest was Q2 2025, with a decline of 56.9%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $57.2 million (Q2 2026), $44.6 million (Q1 2026) and $88.6 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 1.06 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 457.20 Mn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 903.00 Mn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 275.00 Mn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 109.00 Mn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 256.00 Mn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 159.00 Mn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 102.00 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 139.10 Mn |
| 10 | Agco | 7.80 Bn | 5.72 Bn | 565.40 Mn | 60.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 60.40 Mn |
| Jun 30, 2026 | 57.20 Mn |
| Mar 31, 2026 | 44.60 Mn |
| Dec 31, 2025 | 88.60 Mn |
| Sep 30, 2025 | 68.90 Mn |
| Jun 30, 2025 | 42.20 Mn |
| Mar 31, 2025 | 48.20 Mn |
| Dec 31, 2024 | 114.00 Mn |
| Sep 30, 2024 | 86.30 Mn |
| Jun 30, 2024 | 98.00 Mn |
| Mar 31, 2024 | 95.00 Mn |
| Dec 31, 2023 | 160.40 Mn |
| Sep 30, 2023 | 120.70 Mn |
| Jun 30, 2023 | 111.70 Mn |
| Mar 31, 2023 | 125.30 Mn |
| Dec 31, 2022 | 117.80 Mn |
| Sep 30, 2022 | 131.30 Mn |
| Jun 30, 2022 | 72.90 Mn |
| Mar 31, 2022 | 66.30 Mn |
| Dec 31, 2021 | 71.10 Mn |
Agco Capital Expenditures 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=capital-expenditures&ticker=AGCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=AGCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();