Quanta Services (PWR) Shares Outstanding (Diluted) (2009 - 2026)
Quanta Services' Weighted Average Shares Outstanding (Diluted) was 152.44 million in Q3 2026, up 0.6% from 151.5 million a year earlier and unchanged from the prior quarter.
Quanta Services (PWR) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at Quanta Services came in at 151.29 million, up 0.8% from FY2024.
- Weighted Average Shares Outstanding (Diluted) has now increased for five consecutive years, with a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 150.06 million in FY2024 (+0.8%), 148.82 million in FY2023 (+0.6%), 147.99 million in FY2022 (+1.8%) and 145.37 million in FY2021 (+0.1%).
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has increased for 20 straight quarters, with growth averaging 0.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding (Diluted) ranged from 0.1% (Q4 2021) to 2.5% (Q1 2022).
- Per Business Quant data, PWR's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q3 2026 was 152.44 million (Q2 2026), 152.09 million (Q1 2026) and 151.29 million (Q4 2025).
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 | 152.69 Mn |
| Jun 30, 2026 | 152.44 Mn |
| Mar 31, 2026 | 152.09 Mn |
| Dec 31, 2025 | 151.29 Mn |
| Sep 30, 2025 | 151.50 Mn |
| Jun 30, 2025 | 150.92 Mn |
| Mar 31, 2025 | 150.96 Mn |
| Dec 31, 2024 | 150.06 Mn |
| Sep 30, 2024 | 150.56 Mn |
| Jun 30, 2024 | 149.79 Mn |
| Mar 31, 2024 | 149.35 Mn |
| Dec 31, 2023 | 148.82 Mn |
| Sep 30, 2023 | 148.79 Mn |
| Jun 30, 2023 | 148.77 Mn |
| Mar 31, 2023 | 148.66 Mn |
| Dec 31, 2022 | 147.99 Mn |
| Sep 30, 2022 | 147.68 Mn |
| Jun 30, 2022 | 148.21 Mn |
| Mar 31, 2022 | 148.08 Mn |
| Dec 31, 2021 | 145.37 Mn |
Quanta Services 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=PWR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "PWR", "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=PWR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();