Agco (AGCO) Cash from Operations (2009 - 2026)
Agco (AGCO) reported Cash from Operations of $26.6 million for Q3 2026, down 62.5% from $71 million a year earlier and down 83.9% from the prior quarter.
Agco (AGCO) Cash from Operations (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Agco's Cash from Operations came in at $545.2 million, down 46.7% year-over-year; for FY2025, it was $988.1 million, up 43.2% from FY2024.
- Cash from Operations has a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- By year, Cash from Operations came in at $689.9 million in FY2024 (-37.5%), $1.1 billion in FY2023 (+31.6%), $838.2 million in FY2022 (+27.0%) and $660.2 million in FY2021 (-26.4%).
- Five-year quarterly Cash from Operations spans a low of -$576.5 million in Q1 2022 and a high of $1.13 billion in Q4 2022.
- Year over year, Cash from Operations gained in two of the last six quarters, with growth averaging 15.0%.
- The high point for year-over-year Cash from Operations in five years was Q3 2025 (growth of 167.9%); the low point was Q3 2024 (a decline of 95.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $165.4 million (Q2 2026), -$410.4 million (Q1 2026) and $763.6 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 4.35 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 2.08 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 2.21 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 1.31 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 752.00 Mn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 486.00 Mn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 1.08 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 953.00 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 794.00 Mn |
| 10 | Agco | 7.80 Bn | 5.72 Bn | 565.40 Mn | 26.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 26.60 Mn |
| Jun 30, 2026 | 165.40 Mn |
| Mar 31, 2026 | -410.40 Mn |
| Dec 31, 2025 | 763.60 Mn |
| Sep 30, 2025 | 71.00 Mn |
| Jun 30, 2025 | 365.70 Mn |
| Mar 31, 2025 | -212.20 Mn |
| Dec 31, 2024 | 797.90 Mn |
| Sep 30, 2024 | 26.50 Mn |
| Jun 30, 2024 | 235.50 Mn |
| Mar 31, 2024 | -370.00 Mn |
| Dec 31, 2023 | 900.40 Mn |
| Sep 30, 2023 | 567.70 Mn |
| Jun 30, 2023 | 192.10 Mn |
| Mar 31, 2023 | -557.10 Mn |
| Dec 31, 2022 | 1.13 Bn |
| Sep 30, 2022 | 271.10 Mn |
| Jun 30, 2022 | 10.30 Mn |
| Mar 31, 2022 | -576.50 Mn |
| Dec 31, 2021 | 618.70 Mn |
Agco Cash from Operations 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=cash-from-operations&ticker=AGCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=AGCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();