North American Construction (NOA) Receivables (2009 - 2026)
North American Construction (NOA) reported Receivables of $193.84 million for the quarter ended Jun 30, 2026, up 27.3% from $152.27 million a year earlier and up 46.1% from the prior quarter.
North American Construction (NOA) Receivables (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, North American Construction posted Receivables of $151.82 million, down 12.7% from the prior year.
- Receivables has a five-year compound annual growth rate of 35.4% (years ended Dec 2020 to Dec 2025).
- By year, Receivables came in at $173.84 million in the year ended Dec 31, 2024 (+76.5%), $98.49 million in the year ended Dec 31, 2023 (+9.4%), $90.01 million in the year ended Dec 31, 2022 (+40.0%) and $64.3 million in the year ended Dec 31, 2021 (+92.9%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Receivables since the quarter ended Dec 31, 2012.
- Year over year, Receivables gained in six of the last eight quarters, with growth averaging 17.9%.
- The high point for year-over-year Receivables in five years was the quarter ended Dec 31, 2021 (growth of 87.8%); the low point was the quarter ended Dec 31, 2025 (a decline of 24.5%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $132.7 million (quarter ended Mar 31, 2026), $128.65 million (quarter ended Dec 31, 2025) and $136.68 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 96.54 Bn | 94.73 Bn | 1.55 Bn | 10.07 Bn |
| 2 | Ferrovial | 38.99 Bn | 19.58 Bn | - | 3.18 Bn |
| 3 | Emcor | 33.36 Bn | 29.75 Bn | 1.02 Bn | 5.50 Bn |
| 4 | Mastec | 17.15 Bn | 16.06 Bn | 556.28 Mn | 4.23 Bn |
| 5 | Jacobs Solutions | 15.84 Bn | 10.49 Bn | 810.70 Mn | 5.10 Bn |
| 6 | Sterling Infrastructure | 15.09 Bn | 13.45 Bn | 289.96 Mn | - |
| 7 | IES Holdings | 12.79 Bn | 11.66 Bn | 340.66 Mn | 753.73 Mn |
| 8 | Dycom Industries | 8.06 Bn | 7.19 Bn | - | 1.71 Bn |
| 9 | Stantec | 7.69 Bn | 7.69 Bn | - | 1.14 Bn |
| 10 | North American Construction | 346.15 Mn | -9.05 Mn | 31.38 Mn | 193.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 193.84 Mn |
| Mar 31, 2026 | 132.70 Mn |
| Dec 31, 2025 | 128.65 Mn |
| Sep 30, 2025 | 136.68 Mn |
| Jun 30, 2025 | 152.27 Mn |
| Mar 31, 2025 | 143.93 Mn |
| Dec 31, 2024 | 170.37 Mn |
| Sep 30, 2024 | 127.78 Mn |
| Jun 30, 2024 | 113.57 Mn |
| Mar 31, 2024 | 114.53 Mn |
| Dec 31, 2023 | 97.61 Mn |
| Sep 30, 2023 | 119.32 Mn |
| Jun 30, 2023 | 66.71 Mn |
| Mar 31, 2023 | 75.48 Mn |
| Dec 31, 2022 | 73.39 Mn |
| Sep 30, 2022 | 75.24 Mn |
| Jun 30, 2022 | 60.45 Mn |
| Mar 31, 2022 | 54.01 Mn |
| Dec 31, 2021 | 64.30 Mn |
| Sep 30, 2021 | 61.12 Mn |
North American Construction Receivables 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&ticker=NOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=NOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();