North American Construction (NOA) Property, Plant & Equipment (Net) (2009 - 2026)
North American Construction's Property, Plant & Equipment (Net) was $1.38 billion in the quarter ended Mar 31, 2026, up 23.5% from the prior quarter.
North American Construction (NOA) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Property, Plant & Equipment (Net) at North American Construction came in at $1.12 billion, up 22.3% from the prior year.
- Property, Plant & Equipment (Net) has now increased for three consecutive years, with a five-year compound annual growth rate of 18.5% (years ended Dec 2020 to Dec 2025).
- In earlier years, Property, Plant & Equipment (Net) was $914.37 million in the year ended Dec 31, 2024 (+7.9%), $847.11 million in the year ended Dec 31, 2023 (+70.5%), $496.74 million in the year ended Dec 31, 2022 (-2.3%) and $508.49 million in the year ended Dec 31, 2021 (+6.3%).
- The figure for the quarter ended Mar 31, 2026 marks the highest quarterly Property, Plant & Equipment (Net) in data going back to the quarter ended Sep 30, 2012.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was the quarter ended Dec 31, 2023 (growth of 76.5%); the worst was the quarter ended Sep 30, 2023 (a decline of 19.7%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 3.70 Bn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | 1.18 Bn |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 278.62 Mn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 1.92 Bn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 322.89 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 311.57 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 353.81 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | 575.38 Mn |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | - |
| 10 | North American Construction | 351.33 Mn | -3.86 Mn | 31.38 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.38 Bn |
| Dec 31, 2025 | 1.12 Bn |
| Dec 31, 2024 | 896.15 Mn |
| Dec 31, 2023 | 839.53 Mn |
| Sep 30, 2023 | 518.55 Mn |
| Jun 30, 2023 | 683.82 Mn |
| Dec 31, 2022 | 475.77 Mn |
| Sep 30, 2022 | 645.45 Mn |
| Jun 30, 2022 | 641.58 Mn |
| Dec 31, 2021 | 508.49 Mn |
| Jun 30, 2021 | 641.41 Mn |
| Mar 31, 2021 | 644.22 Mn |
| Dec 31, 2020 | 491.64 Mn |
| Sep 30, 2020 | 633.94 Mn |
| Jun 30, 2020 | 629.23 Mn |
| Mar 31, 2020 | 617.03 Mn |
| Dec 31, 2019 | 480.03 Mn |
| Sep 30, 2019 | 597.82 Mn |
| Jun 30, 2019 | 586.29 Mn |
| Mar 31, 2019 | 566.96 Mn |
North American Construction Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=NOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=NOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();