North American Construction (NOA) Prepaid Assets (2009 - 2026)
North American Construction's Prepaid Assets came in at $7.34 million for the quarter ended Jun 30, 2026, up 83.6% from $4 million a year earlier and up 59.3% from the prior quarter.
North American Construction (NOA) Prepaid Assets (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, North American Construction's Prepaid Assets was $4.96 million, down 11.6% from the prior year.
- Prepaid Assets carries a five-year compound annual growth rate of 5.9% (years ended Dec 2020 to Dec 2025).
- Going back by year, Prepaid Assets was $5.61 million in the year ended Dec 31, 2024 (+2.2%), $5.49 million in the year ended Dec 31, 2023 (-32.6%), $8.14 million in the year ended Dec 31, 2022 (+50.3%) and $5.42 million in the year ended Dec 31, 2021 (+45.8%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Prepaid Assets since the quarter ended Sep 30, 2023.
- Year-over-year, Prepaid Assets increased in four of the last eight quarters, with growth averaging 0.4%.
- The fastest year-over-year change in Prepaid Assets over five years came in the quarter ended Jun 30, 2023 (growth of 102.7%), and the weakest in the quarter ended Jun 30, 2025 (a decline of 31.1%).
- Business Quant data shows NOA's Prepaid Assets at $4.61 million (quarter ended Mar 31, 2026), $4.97 million (quarter ended Dec 31, 2025) and $6.3 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 82.97 Bn | 81.16 Bn | 1.55 Bn |
| 2 | Ferrovial | 35.82 Bn | 16.13 Bn | - |
| 3 | Emcor | 29.22 Bn | 25.61 Bn | 1.02 Bn |
| 4 | Jacobs Solutions | 17.13 Bn | 11.78 Bn | 810.70 Mn |
| 5 | Mastec | 13.77 Bn | 12.68 Bn | 556.28 Mn |
| 6 | Sterling Infrastructure | 11.44 Bn | 9.80 Bn | 289.96 Mn |
| 7 | IES Holdings | 8.80 Bn | 7.66 Bn | 340.66 Mn |
| 8 | Stantec | 8.31 Bn | 7.24 Bn | 1.36 Bn |
| 9 | Aecom | 7.83 Bn | 3.16 Bn | -34.04 Mn |
| 10 | North American Construction | 323.38 Mn | -27.75 Mn | 31.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.15 Mn |
| Mar 31, 2026 | 4.54 Mn |
| Dec 31, 2025 | 5.06 Mn |
| Sep 30, 2025 | 6.23 Mn |
| Jun 30, 2025 | 4.05 Mn |
| Mar 31, 2025 | 4.56 Mn |
| Dec 31, 2024 | 5.35 Mn |
| Sep 30, 2024 | 6.28 Mn |
| Jun 30, 2024 | 5.80 Mn |
| Mar 31, 2024 | 5.87 Mn |
| Dec 31, 2023 | 5.60 Mn |
| Sep 30, 2023 | 7.75 Mn |
| Jun 30, 2023 | 7.19 Mn |
| Mar 31, 2023 | 7.05 Mn |
| Dec 31, 2022 | 7.81 Mn |
| Sep 30, 2022 | 8.15 Mn |
| Jun 30, 2022 | 3.46 Mn |
| Mar 31, 2022 | 3.70 Mn |
| Dec 31, 2021 | 5.36 Mn |
| Sep 30, 2021 | 5.13 Mn |
North American Construction Prepaid 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=prepaid-assets&ticker=NOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=NOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();