North American Construction (NOA) Assets (2009 - 2026)
North American Construction (NOA) reported Assets of $1.62 billion for the quarter ended Jun 30, 2026, up 23.2% from $1.32 billion a year earlier and up 18.7% from the prior quarter.
North American Construction (NOA) Assets (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, North American Construction posted Assets of $1.3 billion, up 5.2% from the prior year.
- Assets has increased for nine consecutive years, with a five-year compound annual growth rate of 15.8% (years ended Dec 2020 to Dec 2025).
- By year, Assets came in at $1.24 billion in the year ended Dec 31, 2024 (+8.0%), $1.15 billion in the year ended Dec 31, 2023 (+52.1%), $753.41 million in the year ended Dec 31, 2022 (+9.2%) and $689.63 million in the year ended Dec 31, 2021 (+10.1%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Assets in data going back to the quarter ended Jun 30, 2012.
- Year over year, Assets has now increased in each of the last 16 quarters, with growth averaging 10.3% over the last eight quarters.
- The high point for year-over-year Assets in five years was the quarter ended Mar 31, 2024 (growth of 66.9%); the low point was the quarter ended Jun 30, 2022 (a decline of 16.5%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $1.37 billion (quarter ended Mar 31, 2026), $1.3 billion (quarter ended Dec 31, 2025) and $1.36 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 96.54 Bn | 94.73 Bn | 1.55 Bn | 28.29 Bn |
| 2 | Ferrovial | 38.99 Bn | 19.58 Bn | - | 31.92 Bn |
| 3 | Emcor | 33.36 Bn | 29.75 Bn | 1.02 Bn | 10.16 Bn |
| 4 | Mastec | 17.15 Bn | 16.06 Bn | 556.28 Mn | 10.93 Bn |
| 5 | Jacobs Solutions | 15.84 Bn | 10.49 Bn | 810.70 Mn | 11.74 Bn |
| 6 | Sterling Infrastructure | 15.09 Bn | 13.45 Bn | 289.96 Mn | 3.19 Bn |
| 7 | IES Holdings | 12.79 Bn | 11.66 Bn | 340.66 Mn | 2.28 Bn |
| 8 | Dycom Industries | 8.06 Bn | 7.19 Bn | - | 5.98 Bn |
| 9 | Stantec | 7.69 Bn | 7.69 Bn | - | 5.92 Bn |
| 10 | North American Construction | 346.15 Mn | -9.05 Mn | 31.38 Mn | 1.62 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.62 Bn |
| Mar 31, 2026 | 1.37 Bn |
| Dec 31, 2025 | 1.30 Bn |
| Sep 30, 2025 | 1.36 Bn |
| Jun 30, 2025 | 1.32 Bn |
| Mar 31, 2025 | 1.25 Bn |
| Dec 31, 2024 | 1.21 Bn |
| Sep 30, 2024 | 1.24 Bn |
| Jun 30, 2024 | 1.19 Bn |
| Mar 31, 2024 | 1.17 Bn |
| Dec 31, 2023 | 1.14 Bn |
| Sep 30, 2023 | 1.15 Bn |
| Jun 30, 2023 | 723.10 Mn |
| Mar 31, 2023 | 702.72 Mn |
| Dec 31, 2022 | 721.61 Mn |
| Sep 30, 2022 | 703.39 Mn |
| Jun 30, 2022 | 682.52 Mn |
| Mar 31, 2022 | 694.36 Mn |
| Dec 31, 2021 | 689.63 Mn |
| Sep 30, 2021 | 695.05 Mn |
North American Construction Assets 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=assets&ticker=NOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=NOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();