North American Construction (NOA) EV to FCF (2009 - 2026)
North American Construction's (NOA) EV to FCF came in at 1.42 for the quarter ended Jun 30, 2026, down 13.3% from 1.64 a year earlier and down 19.0% from the prior quarter.
North American Construction (NOA) EV to FCF (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to FCF at North American Construction was 0.15, down 83.6% year-over-year; for the year ended Dec 31, 2025, it came in at 0.88, down 35.5% from the prior year.
- Annual EV to FCF has declined for four consecutive years.
- In prior years, North American Construction's EV to FCF was 1.36 in the year ended Dec 31, 2024 (-5.7%), 1.44 in the year ended Dec 31, 2023 (-2.3%), 1.48 in the year ended Dec 31, 2022 (-26.1%) and 2.00 in the year ended Dec 31, 2021 (+43.5%).
- Quarterly EV to FCF has run from a low of 1.34 in the quarter ended Sep 30, 2025 to a high of 6.19 in the quarter ended Sep 30, 2023 over five years.
- On a year-over-year basis, EV to FCF increased in 1 of the last eight quarters, with an average decline of 31.3%.
- The strongest year-over-year quarter for EV to FCF in the past five years was the quarter ended Sep 30, 2021, with growth of 321.7%; the weakest was the quarter ended Sep 30, 2024, with a decline of 65.2%.
- According to Business Quant data, EV to FCF for the three prior quarters was 1.75 (quarter ended Mar 31, 2026), 1.71 (quarter ended Dec 31, 2025) and 1.34 (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 | 1.42 |
| Mar 31, 2026 | 1.75 |
| Dec 31, 2025 | 1.71 |
| Sep 30, 2025 | 1.34 |
| Jun 30, 2025 | 1.64 |
| Mar 31, 2025 | 1.62 |
| Dec 31, 2024 | 2.45 |
| Sep 30, 2024 | 2.16 |
| Jun 30, 2024 | 2.45 |
| Mar 31, 2024 | 3.25 |
| Dec 31, 2023 | 3.43 |
| Sep 30, 2023 | 6.19 |
| Jun 30, 2023 | 3.92 |
| Mar 31, 2023 | 3.65 |
| Dec 31, 2022 | 2.74 |
| Sep 30, 2022 | 2.30 |
| Jun 30, 2022 | 3.81 |
| Mar 31, 2022 | 4.71 |
| Dec 31, 2021 | 4.80 |
| Sep 30, 2021 | 4.84 |
North American Construction EV to FCF 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-fcf&ticker=NOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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-fcf&ticker=NOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();