North American Construction (NOA) EV to EBITDA (2010 - 2026)
North American Construction's EV to EBITDA was 1.34 in the quarter ended Jun 30, 2026, down 11.2% from 1.51 a year earlier but up 4.8% from the prior quarter.
North American Construction (NOA) EV to EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, North American Construction's EV to EBITDA was 0.14 through Jun 30, 2026, down 83.2% year-over-year; for the year ended Dec 31, 2025, it came in at 1.45, down 33.2% from the prior year.
- In earlier years, EV to EBITDA was 2.17 in the year ended Dec 31, 2024 (-28.2%), 3.03 in the year ended Dec 31, 2023 (+67.5%), 1.81 in the year ended Dec 31, 2022 (-37.2%) and 2.88 in the year ended Dec 31, 2021 (+23.6%).
- Quarterly EV to EBITDA has moved between 1.28 (the quarter ended Mar 31, 2026) and 3.79 (the quarter ended Sep 30, 2023) over five years.
- Compared with a year earlier, EV to EBITDA has declined for nine straight quarters, with an average decline of 30.0% over the last eight quarters.
- The best year-over-year quarter for EV to EBITDA over five years was the quarter ended Sep 30, 2021 (growth of 171.0%); the worst was the quarter ended Sep 30, 2024 (a decline of 54.0%).
- Per Business Quant data, NOA's EV to EBITDA in the three quarters before the quarter ended Jun 30, 2026 was 1.28 (quarter ended Mar 31, 2026), 1.42 (quarter ended Dec 31, 2025) and 1.28 (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 | 1.34 |
| Mar 31, 2026 | 1.28 |
| Dec 31, 2025 | 1.42 |
| Sep 30, 2025 | 1.28 |
| Jun 30, 2025 | 1.51 |
| Mar 31, 2025 | 1.49 |
| Dec 31, 2024 | 2.13 |
| Sep 30, 2024 | 1.74 |
| Jun 30, 2024 | 2.12 |
| Mar 31, 2024 | 2.84 |
| Dec 31, 2023 | 2.83 |
| Sep 30, 2023 | 3.79 |
| Jun 30, 2023 | 2.96 |
| Mar 31, 2023 | 2.61 |
| Dec 31, 2022 | 1.95 |
| Sep 30, 2022 | 1.88 |
| Jun 30, 2022 | 2.33 |
| Mar 31, 2022 | 3.08 |
| Dec 31, 2021 | 3.12 |
| Sep 30, 2021 | 3.54 |
North American Construction EV to EBITDA 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=ev-to-ebitda&ticker=NOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=NOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();