Itt (ITT) Shares Outstanding (2009 - 2026)
Itt's Weighted Average Shares Outstanding came in at 89.4 million for Q2 2026, up 13.2% from 79 million a year earlier and up 2.5% from the prior quarter.
Itt (ITT) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Itt's Weighted Average Shares Outstanding was 79.4 million, down 2.9% from FY2024.
- Weighted Average Shares Outstanding has declined in each of the last six years, with a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding was 81.8 million in FY2024 (-0.6%), 82.3 million in FY2023 (-1.3%), 83.4 million in FY2022 (-3.0%) and 86 million in FY2021 (-0.8%).
- The Q2 2026 figure represents the highest quarterly Weighted Average Shares Outstanding since Q2 2016.
- Year-over-year, Weighted Average Shares Outstanding increased in two of the last eight quarters, with growth averaging 0.9%.
- The fastest year-over-year change in Weighted Average Shares Outstanding over five years came in Q2 2026 (growth of 13.2%), and the weakest in Q3 2025 (a decline of 4.4%).
- Business Quant data shows ITT's Weighted Average Shares Outstanding at 87.2 million (Q1 2026), 79.4 million (Q4 2025) and 78 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 459.10 Mn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 2.46 Bn |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | 269.80 Mn |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 388.60 Mn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 126.10 Mn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 518.80 Mn |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 558.80 Mn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 284.60 Mn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 385.00 Mn |
| 10 | Itt | 18.36 Bn | 14.86 Bn | 550.40 Mn | 89.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 89.40 Mn |
| Jul 4, 2026 | 89.40 Mn |
| Apr 4, 2026 | 87.20 Mn |
| Dec 31, 2025 | 79.40 Mn |
| Sep 27, 2025 | 78.00 Mn |
| Jun 28, 2025 | 79.00 Mn |
| Mar 29, 2025 | 81.30 Mn |
| Dec 31, 2024 | 81.80 Mn |
| Sep 28, 2024 | 81.60 Mn |
| Jun 29, 2024 | 82.00 Mn |
| Mar 30, 2024 | 82.20 Mn |
| Dec 31, 2023 | 82.30 Mn |
| Sep 30, 2023 | 82.10 Mn |
| Jul 1, 2023 | 82.40 Mn |
| Apr 1, 2023 | 82.60 Mn |
| Dec 31, 2022 | 83.40 Mn |
| Oct 1, 2022 | 82.70 Mn |
| Jul 2, 2022 | 83.10 Mn |
| Apr 2, 2022 | 84.80 Mn |
| Dec 31, 2021 | 86.00 Mn |
Itt Shares Outstanding 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&ticker=ITT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "ITT", "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&ticker=ITT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();