Mastec (MTZ) Shares Outstanding (Diluted) (2009 - 2026)
Mastec's Weighted Average Shares Outstanding (Diluted) came in at 79.82 million for Q3 2026, up 1.5% from 78.65 million a year earlier and up 1.2% from the prior quarter.
Mastec (MTZ) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Mastec's Weighted Average Shares Outstanding (Diluted) was 78.69 million, down 0.2% from FY2024.
- Weighted Average Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding (Diluted) was 78.88 million in FY2024 (+1.7%), 77.54 million in FY2023 (+1.8%), 76.19 million in FY2022 (+3.0%) and 73.94 million in FY2021 (+0.3%).
- The Q3 2026 figure represents the highest quarterly Weighted Average Shares Outstanding (Diluted) since Q2 2018.
- Year-over-year, Weighted Average Shares Outstanding (Diluted) increased in four of the last eight quarters, with growth averaging 0.5%.
- The fastest year-over-year change in Weighted Average Shares Outstanding (Diluted) over five years came in Q3 2023 (growth of 4.5%), and the weakest in Q2 2025 (a decline of 0.4%).
- Business Quant data shows MTZ's Weighted Average Shares Outstanding (Diluted) at 78.87 million (Q2 2026), 78.78 million (Q1 2026) and 78.69 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 | Quanta Services | 89.31 Bn | 85.69 Bn | 2.01 Bn | 152.69 Mn |
| 2 | Ferrovial | 44.08 Bn | 24.68 Bn | - | 718.72 Mn |
| 3 | Emcor | 29.16 Bn | 25.43 Bn | 1.11 Bn | 44.25 Mn |
| 4 | Jacobs Solutions | 18.59 Bn | 13.24 Bn | 810.70 Mn | 118.90 Mn |
| 5 | Mastec | 14.14 Bn | 12.67 Bn | 660.86 Mn | 79.82 Mn |
| 6 | Aecom | 9.02 Bn | 4.35 Bn | -34.04 Mn | 128.60 Mn |
| 7 | Sterling Infrastructure | 8.80 Bn | 7.22 Bn | 377.28 Mn | 31.07 Mn |
| 8 | Stantec | 8.59 Bn | 7.47 Bn | 2.08 Bn | 114.07 Mn |
| 9 | IES Holdings | 6.94 Bn | 5.80 Bn | 340.66 Mn | 40.40 Mn |
| 10 | Dycom Industries | 6.79 Bn | 5.09 Bn | 440.55 Mn | 30.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 79.82 Mn |
| Jun 30, 2026 | 78.87 Mn |
| Mar 31, 2026 | 78.78 Mn |
| Dec 31, 2025 | 78.69 Mn |
| Sep 30, 2025 | 78.65 Mn |
| Jun 30, 2025 | 78.52 Mn |
| Mar 31, 2025 | 79.05 Mn |
| Dec 31, 2024 | 78.88 Mn |
| Sep 30, 2024 | 78.91 Mn |
| Jun 30, 2024 | 78.86 Mn |
| Mar 31, 2024 | 77.94 Mn |
| Dec 31, 2023 | 77.54 Mn |
| Sep 30, 2023 | 78.46 Mn |
| Jun 30, 2023 | 78.37 Mn |
| Mar 31, 2023 | 76.98 Mn |
| Dec 31, 2022 | 76.19 Mn |
| Sep 30, 2022 | 75.07 Mn |
| Jun 30, 2022 | 75.54 Mn |
| Mar 31, 2022 | 74.79 Mn |
| Dec 31, 2021 | 73.94 Mn |
Mastec 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=MTZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "MTZ", "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=MTZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();