Idex (IEX) Shares Outstanding (Diluted) (2009 - 2026)
Idex's Weighted Average Shares Outstanding (Diluted) came in at 74 million for Q3 2026, down 1.6% from 75.2 million a year earlier and down 0.3% from the prior quarter.
Idex (IEX) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Idex's Weighted Average Shares Outstanding (Diluted) was 75.3 million, down 0.8% from FY2024.
- Weighted Average Shares Outstanding (Diluted) carries a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding (Diluted) was 75.9 million in FY2024 (unchanged), 75.9 million in FY2023 (-0.1%), 76 million in FY2022 (-0.5%) and 76.4 million in FY2021 (unchanged).
- The Q3 2026 figure represents the lowest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q2 2009.
- Year-over-year, Weighted Average Shares Outstanding (Diluted) has declined for seven consecutive quarters, with an average decline of 0.9% over the last eight quarters.
- The fastest year-over-year change in Weighted Average Shares Outstanding (Diluted) over five years came in Q3 2023 (growth of 0.1%), and the weakest in Q1 2026 (a decline of 1.8%).
- Business Quant data shows IEX's Weighted Average Shares Outstanding (Diluted) at 74.2 million (Q2 2026), 74.4 million (Q1 2026) and 75.3 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 460.90 Mn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 2.58 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 389.60 Mn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 127.80 Mn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 522.60 Mn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 562.00 Mn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 285.30 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 392.68 Mn |
| 10 | Idex | 17.41 Bn | 15.02 Bn | 429.50 Mn | 74.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 74.00 Mn |
| Jun 30, 2026 | 74.20 Mn |
| Mar 31, 2026 | 74.40 Mn |
| Dec 31, 2025 | 75.30 Mn |
| Sep 30, 2025 | 75.20 Mn |
| Jun 30, 2025 | 75.50 Mn |
| Mar 31, 2025 | 75.80 Mn |
| Dec 31, 2024 | 75.90 Mn |
| Sep 30, 2024 | 75.90 Mn |
| Jun 30, 2024 | 75.90 Mn |
| Mar 31, 2024 | 75.90 Mn |
| Dec 31, 2023 | 75.90 Mn |
| Sep 30, 2023 | 75.90 Mn |
| Jun 30, 2023 | 75.90 Mn |
| Mar 31, 2023 | 75.90 Mn |
| Dec 31, 2022 | 76.00 Mn |
| Sep 30, 2022 | 75.80 Mn |
| Jun 30, 2022 | 76.10 Mn |
| Mar 31, 2022 | 76.40 Mn |
| Dec 31, 2021 | 76.40 Mn |
Idex Shares Outstanding (Diluted) 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-diluted&ticker=IEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "IEX", "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-diluted&ticker=IEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();