North American Construction (NOA) Receivables - Net (2009 - 2026)
North American Construction (NOA) posted Receivables - Net of $170.38 million for the quarter ended Jun 30, 2026, up 20.9% from $140.96 million a year earlier and up 44.4% from the prior quarter.
North American Construction (NOA) Receivables - Net (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, North American Construction's Receivables - Net came in at $106.59 million, down 12.1% from the prior year.
- Annual Receivables - Net shows a five-year compound annual growth rate of 31.6% (years ended Dec 2020 to Dec 2025).
- In prior years, North American Construction's Receivables - Net was $121.3 million in the year ended Dec 31, 2024 (+67.2%), $72.53 million in the year ended Dec 31, 2023 (+12.5%), $64.46 million in the year ended Dec 31, 2022 (+18.1%) and $54.57 million in the year ended Dec 31, 2021 (+101.8%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Receivables - Net in data going back to the quarter ended Jun 30, 2012.
- On a year-over-year basis, Receivables - Net increased in six of the last eight quarters, with growth averaging 18.1%.
- The strongest year-over-year quarter for Receivables - Net in the past five years was the quarter ended Dec 31, 2021, with growth of 96.4%; the weakest was the quarter ended Mar 31, 2022, with a decline of 11.7%.
- According to Business Quant data, Receivables - Net for the three prior quarters was $117.99 million (quarter ended Mar 31, 2026), $106.79 million (quarter ended Dec 31, 2025) and $127.84 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 96.54 Bn | 94.73 Bn | 1.55 Bn |
| 2 | Ferrovial | 38.99 Bn | 19.58 Bn | - |
| 3 | Emcor | 33.36 Bn | 29.75 Bn | 1.02 Bn |
| 4 | Mastec | 17.15 Bn | 16.06 Bn | 556.28 Mn |
| 5 | Jacobs Solutions | 15.84 Bn | 10.49 Bn | 810.70 Mn |
| 6 | Sterling Infrastructure | 15.09 Bn | 13.45 Bn | 289.96 Mn |
| 7 | IES Holdings | 12.79 Bn | 11.66 Bn | 340.66 Mn |
| 8 | Dycom Industries | 8.06 Bn | 7.19 Bn | - |
| 9 | Stantec | 7.69 Bn | 7.69 Bn | - |
| 10 | North American Construction | 346.15 Mn | -9.05 Mn | 31.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 170.38 Mn |
| Mar 31, 2026 | 117.99 Mn |
| Dec 31, 2025 | 106.79 Mn |
| Sep 30, 2025 | 127.84 Mn |
| Jun 30, 2025 | 140.96 Mn |
| Mar 31, 2025 | 130.22 Mn |
| Dec 31, 2024 | 118.88 Mn |
| Sep 30, 2024 | 115.95 Mn |
| Jun 30, 2024 | 104.15 Mn |
| Mar 31, 2024 | 102.75 Mn |
| Dec 31, 2023 | 71.88 Mn |
| Sep 30, 2023 | 109.27 Mn |
| Jun 30, 2023 | 58.75 Mn |
| Mar 31, 2023 | 68.28 Mn |
| Dec 31, 2022 | 61.74 Mn |
| Sep 30, 2022 | 66.85 Mn |
| Jun 30, 2022 | 52.68 Mn |
| Mar 31, 2022 | 45.56 Mn |
| Dec 31, 2021 | 54.57 Mn |
| Sep 30, 2021 | 52.77 Mn |
North American Construction Receivables - 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=receivables-net&ticker=NOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-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=receivables-net&ticker=NOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();