Granite Construction (GVA) Shares Outstanding (Diluted) (2009 - 2026)
Granite Construction's Weighted Average Shares Outstanding (Diluted) was 46.26 million in Q3 2026, down 13.6% from 53.56 million a year earlier but up 5.7% from the prior quarter.
Granite Construction (GVA) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at Granite Construction came in at 53.13 million, up 1.2% from FY2024.
- Weighted Average Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 52.51 million in FY2024 (-0.1%), 52.57 million in FY2023 (+0.5%), 52.33 million in FY2022 (+14.3%) and 45.79 million in FY2021 (+0.4%).
- Quarterly Weighted Average Shares Outstanding (Diluted) has moved between 43.46 million (Q1 2025) and 53.61 million (Q3 2023) over five years.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) was higher in four of the last eight quarters, with an average decline of 3.5%.
- The best year-over-year quarter for Weighted Average Shares Outstanding (Diluted) over five years was Q2 2024 (growth of 20.1%); the worst was Q2 2026 (a decline of 17.1%).
- Per Business Quant data, GVA's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q3 2026 was 43.75 million (Q2 2026), 43.53 million (Q1 2026) and 53.13 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 82.54 Bn | 78.91 Bn | 2.01 Bn | 152.44 Mn |
| 2 | Ferrovial | 42.46 Bn | 20.71 Bn | - | 718.72 Mn |
| 3 | Emcor | 27.11 Bn | 23.38 Bn | 1.11 Bn | 44.55 Mn |
| 4 | Jacobs Solutions | 17.63 Bn | 12.30 Bn | 810.70 Mn | 118.90 Mn |
| 5 | Mastec | 13.42 Bn | 11.96 Bn | 660.86 Mn | 79.82 Mn |
| 6 | Stantec | 8.57 Bn | 7.50 Bn | 1.36 Bn | 114.07 Mn |
| 7 | Aecom | 8.51 Bn | 3.63 Bn | -34.04 Mn | 128.60 Mn |
| 8 | Sterling Infrastructure | 7.81 Bn | 6.23 Bn | 377.28 Mn | 31.14 Mn |
| 9 | IES Holdings | 6.43 Bn | 5.29 Bn | 340.66 Mn | 40.40 Mn |
| 10 | Granite Construction | 5.33 Bn | 2.99 Bn | 335.76 Mn | 46.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 46.26 Mn |
| Jun 30, 2026 | 43.75 Mn |
| Mar 31, 2026 | 43.53 Mn |
| Dec 31, 2025 | 53.13 Mn |
| Sep 30, 2025 | 53.56 Mn |
| Jun 30, 2025 | 52.76 Mn |
| Mar 31, 2025 | 43.46 Mn |
| Dec 31, 2024 | 52.51 Mn |
| Sep 30, 2024 | 52.37 Mn |
| Jun 30, 2024 | 52.73 Mn |
| Mar 31, 2024 | 43.99 Mn |
| Dec 31, 2023 | 52.57 Mn |
| Sep 30, 2023 | 53.61 Mn |
| Jun 30, 2023 | 43.89 Mn |
| Mar 31, 2023 | 43.76 Mn |
| Dec 31, 2022 | 52.33 Mn |
| Sep 30, 2022 | 51.86 Mn |
| Jun 30, 2022 | 44.53 Mn |
| Mar 31, 2022 | 45.73 Mn |
| Dec 31, 2021 | 45.79 Mn |
Granite Construction 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=GVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "GVA", "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=GVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();