Agco (AGCO) Shares Outstanding (Entity) (2009 - 2026)
Agco (AGCO) reported Shares Outstanding (Entity) of 68.95 million for Q3 2026, down 7.6% from 74.62 million a year earlier and down 1.5% from the prior quarter.
Agco (AGCO) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, Agco posted Shares Outstanding (Entity) of 72.63 million, down 2.4% from FY2024.
- Shares Outstanding (Entity) has declined for three consecutive years, with a five-year compound annual growth rate of -0.6% (FY2020 to FY2025).
- By year, Shares Outstanding (Entity) came in at 74.42 million in FY2024 (-0.1%), 74.52 million in FY2023 (-0.1%), 74.6 million in FY2022 (+0.2%) and 74.44 million in FY2021 (-0.7%).
- The Q3 2026 figure ranks as the lowest quarterly Shares Outstanding (Entity) in data going back to Q2 2009.
- Year over year, Shares Outstanding (Entity) has now declined in each of the last four quarters, with an average decline of 2.4% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Entity) in five years was Q1 2023 (growth of 0.4%); the low point was Q3 2026 (a decline of 7.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 70 million (Q2 2026), 72.4 million (Q1 2026) and 72.63 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 457.60 Mn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 2.47 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 269.63 Mn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 388.50 Mn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 126.10 Mn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 516.73 Mn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 557.30 Mn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 284.20 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 385.03 Mn |
| 10 | Agco | 7.80 Bn | 5.72 Bn | 565.40 Mn | 68.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 68.95 Mn |
| Jun 30, 2026 | 70.00 Mn |
| Mar 31, 2026 | 72.40 Mn |
| Dec 31, 2025 | 72.63 Mn |
| Sep 30, 2025 | 74.62 Mn |
| Jun 30, 2025 | 74.60 Mn |
| Mar 31, 2025 | 74.58 Mn |
| Dec 31, 2024 | 74.42 Mn |
| Sep 30, 2024 | 74.64 Mn |
| Jun 30, 2024 | 74.63 Mn |
| Mar 31, 2024 | 74.62 Mn |
| Dec 31, 2023 | 74.52 Mn |
| Sep 30, 2023 | 74.88 Mn |
| Jun 30, 2023 | 74.88 Mn |
| Mar 31, 2023 | 74.85 Mn |
| Dec 31, 2022 | 74.60 Mn |
| Sep 30, 2022 | 74.60 Mn |
| Jun 30, 2022 | 74.60 Mn |
| Mar 31, 2022 | 74.54 Mn |
| Dec 31, 2021 | 74.44 Mn |
Agco Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=AGCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=AGCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();