Terex (TEX) Shares Outstanding (Diluted) (2009 - 2026)
Terex (TEX) posted Shares Outstanding (Diluted) of 114.2 million for Q2 2026, up 73.3% from 65.9 million a year earlier and up 18.8% from the prior quarter.
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Analysis
Terex (TEX) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Terex's Shares Outstanding (Diluted) came in at 66.3 million, down 1.9% from FY2024.
- Annual Shares Outstanding (Diluted) has declined for four consecutive years, with a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- In prior years, Terex's Shares Outstanding (Diluted) was 67.6 million in FY2024 (-1.0%), 68.3 million in FY2023 (-1.6%), 69.4 million in FY2022 (-2.1%) and 70.9 million in FY2021 (+1.1%).
- On a year-over-year basis, Shares Outstanding (Diluted) increased in two of the last eight quarters, with growth averaging 13.4%.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q2 2026, with growth of 73.3%; the weakest was Q3 2022, with a decline of 3.5%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 96.1 million (Q1 2026), 66.3 million (Q4 2025) and 66.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 462.50 Mn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 389.50 Mn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 128.10 Mn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 561.10 Mn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | 522.40 Mn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 392.75 Mn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | 287.00 Mn |
| 10 | Terex | 5.76 Bn | 3.68 Bn | 444.00 Mn | 114.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 114.20 Mn |
| Mar 31, 2026 | 96.10 Mn |
| Dec 31, 2025 | 66.30 Mn |
| Sep 30, 2025 | 66.20 Mn |
| Jun 30, 2025 | 65.90 Mn |
| Mar 31, 2025 | 66.90 Mn |
| Dec 31, 2024 | 67.60 Mn |
| Sep 30, 2024 | 67.40 Mn |
| Jun 30, 2024 | 67.70 Mn |
| Mar 31, 2024 | 67.90 Mn |
| Dec 31, 2023 | 68.30 Mn |
| Sep 30, 2023 | 68.20 Mn |
| Jun 30, 2023 | 68.10 Mn |
| Mar 31, 2023 | 68.80 Mn |
| Dec 31, 2022 | 69.40 Mn |
| Sep 30, 2022 | 68.40 Mn |
| Jun 30, 2022 | 69.30 Mn |
| Mar 31, 2022 | 70.90 Mn |
| Dec 31, 2021 | 70.90 Mn |
| Sep 30, 2021 | 70.90 Mn |
API Access
Terex 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=TEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "TEX", "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=TEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();