North American Construction (NOA) Shares Outstanding (2009 - 2026)
North American Construction's Shares Outstanding was 28.66 million in the quarter ended Jun 30, 2026, up 7.0% from 26.77 million a year earlier and unchanged from the prior quarter.
North American Construction (NOA) Shares Outstanding (2009 - 2026) Analysis & Trends
From the quarter ended Jun 30, 2012 onward, North American Construction has reported Shares Outstanding for 56 quarters.
- Shares Outstanding shows a five-year compound annual growth rate of 0.3% (years ended Dec 2020 to Dec 2025).
- In earlier years, Shares Outstanding was 26.77 million in the year ended Dec 31, 2024 (+0.8%), 26.57 million in the year ended Dec 31, 2023 (-3.1%), 27.41 million in the year ended Dec 31, 2022 (-3.2%) and 28.33 million in the year ended Dec 31, 2021 (+0.6%).
- Compared with a year earlier, Shares Outstanding has increased for seven straight quarters, with growth averaging 2.6% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding over five years was the quarter ended Sep 30, 2021 (growth of 10.7%); the worst was the quarter ended Dec 31, 2022 (a decline of 3.2%).
- Per Business Quant data, NOA's Shares Outstanding in the three quarters before the quarter ended Jun 30, 2026 was 28.66 million (quarter ended Mar 31, 2026), 28.66 million (quarter ended Dec 31, 2025) and 26.77 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 96.54 Bn | 94.73 Bn | 1.55 Bn | 150.21 Mn |
| 2 | Ferrovial | 38.99 Bn | 19.58 Bn | - | 718.72 Mn |
| 3 | Emcor | 33.36 Bn | 29.75 Bn | 1.02 Bn | 44.42 Mn |
| 4 | Mastec | 17.15 Bn | 16.06 Bn | 556.28 Mn | 78.08 Mn |
| 5 | Jacobs Solutions | 15.84 Bn | 10.49 Bn | 810.70 Mn | 117.75 Mn |
| 6 | Sterling Infrastructure | 15.09 Bn | 13.45 Bn | 289.96 Mn | 30.69 Mn |
| 7 | IES Holdings | 12.79 Bn | 11.66 Bn | 340.66 Mn | 39.85 Mn |
| 8 | Dycom Industries | 8.06 Bn | 7.19 Bn | - | 28.95 Mn |
| 9 | Stantec | 7.69 Bn | 7.69 Bn | - | 114.07 Mn |
| 10 | North American Construction | 346.15 Mn | -9.05 Mn | 31.38 Mn | 28.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.66 Mn |
| Mar 31, 2026 | 28.66 Mn |
| Dec 31, 2025 | 28.66 Mn |
| Sep 30, 2025 | 26.77 Mn |
| Jun 30, 2025 | 26.77 Mn |
| Mar 31, 2025 | 26.77 Mn |
| Dec 31, 2024 | 26.77 Mn |
| Sep 30, 2024 | 26.57 Mn |
| Jun 30, 2024 | 26.57 Mn |
| Mar 31, 2024 | 26.57 Mn |
| Dec 31, 2023 | 26.57 Mn |
| Sep 30, 2023 | 27.41 Mn |
| Jun 30, 2023 | 27.41 Mn |
| Mar 31, 2023 | 27.41 Mn |
| Dec 31, 2022 | 27.41 Mn |
| Sep 30, 2022 | 28.33 Mn |
| Jun 30, 2022 | 28.33 Mn |
| Mar 31, 2022 | 28.33 Mn |
| Dec 31, 2021 | 28.33 Mn |
| Sep 30, 2021 | 28.17 Mn |
North American Construction 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=NOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "NOA", "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=NOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();