North American Construction (NOA) Price to Earnings (2010 - 2026)
North American Construction's (NOA) Price to Earnings stood at 16.30 in the quarter ended Jun 30, 2026, down 5.0% from 17.15 a year earlier but up 1.3% from the prior quarter.
Powered by 
Analysis
North American Construction (NOA) Price to Earnings (2010 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, North American Construction's Price to Earnings came in at 17.10, down 8.2% from the prior year.
- Across earlier years, Price to Earnings came in at 18.63 in the year ended Dec 31, 2024 (+50.2%), 12.40 in the year ended Dec 31, 2023 (+72.7%), 7.18 in the year ended Dec 31, 2022 (-35.4%) and 11.12 in the year ended Dec 31, 2021 (+33.3%).
- Quarterly Price to Earnings has ranged from 6.06 in the quarter ended Sep 30, 2022 to 17.99 in the quarter ended Dec 31, 2024 over the past five years.
- On a year-over-year basis, Price to Earnings rose in six of the last eight quarters, with growth averaging 18.1%.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 131.8% in the quarter ended Sep 30, 2021, against a decline of 48.6% in the quarter ended Sep 30, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 16.09 (quarter ended Mar 31, 2026), 16.98 (quarter ended Dec 31, 2025) and 14.17 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - |
| 10 | North American Construction | 351.33 Mn | -3.86 Mn | 31.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.30 |
| Mar 31, 2026 | 16.09 |
| Dec 31, 2025 | 16.98 |
| Sep 30, 2025 | 14.17 |
| Jun 30, 2025 | 17.15 |
| Mar 31, 2025 | 15.07 |
| Dec 31, 2024 | 17.99 |
| Sep 30, 2024 | 10.98 |
| Jun 30, 2024 | 11.85 |
| Mar 31, 2024 | 14.15 |
| Dec 31, 2023 | 11.28 |
| Sep 30, 2023 | 10.10 |
| Jun 30, 2023 | 7.96 |
| Mar 31, 2023 | 7.30 |
| Dec 31, 2022 | 6.39 |
| Sep 30, 2022 | 6.06 |
| Jun 30, 2022 | 7.71 |
| Mar 31, 2022 | 11.02 |
| Dec 31, 2021 | 10.31 |
| Sep 30, 2021 | 11.80 |
API Access
North American Construction Price to Earnings 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=price-to-earnings&ticker=NOA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=NOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();