North American Construction (NOA) Price to Sales (2009 - 2026)
North American Construction's (NOA) Price to Sales came in at 0.36 for the quarter ended Jun 30, 2026, down 19.5% from 0.45 a year earlier and down 6.8% from the prior quarter.
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Analysis
North American Construction (NOA) Price to Sales (2009 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, North American Construction's Price to Sales stood at 0.45, down 35.9% from the prior year.
- In prior years, North American Construction's Price to Sales was 0.70 in the year ended Dec 31, 2024 (-13.4%), 0.81 in the year ended Dec 31, 2023 (+29.1%), 0.63 in the year ended Dec 31, 2022 (-28.0%) and 0.87 in the year ended Dec 31, 2021 (+6.1%).
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Price to Sales since the quarter ended Jun 30, 2020.
- On a year-over-year basis, Price to Sales has declined in each of the last nine quarters, with an average decline of 26.1% over the last eight quarters.
- The strongest year-over-year quarter for Price to Sales in the past five years was the quarter ended Sep 30, 2021, with growth of 116.8%; the weakest was the quarter ended Sep 30, 2022, with a decline of 43.3%.
- According to Business Quant data, Price to Sales for the three prior quarters was 0.39 (quarter ended Mar 31, 2026), 0.41 (quarter ended Dec 31, 2025) and 0.39 (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 | 0.36 |
| Mar 31, 2026 | 0.39 |
| Dec 31, 2025 | 0.41 |
| Sep 30, 2025 | 0.39 |
| Jun 30, 2025 | 0.45 |
| Mar 31, 2025 | 0.46 |
| Dec 31, 2024 | 0.64 |
| Sep 30, 2024 | 0.54 |
| Jun 30, 2024 | 0.60 |
| Mar 31, 2024 | 0.74 |
| Dec 31, 2023 | 0.72 |
| Sep 30, 2023 | 0.86 |
| Jun 30, 2023 | 0.75 |
| Mar 31, 2023 | 0.67 |
| Dec 31, 2022 | 0.57 |
| Sep 30, 2022 | 0.48 |
| Jun 30, 2022 | 0.57 |
| Mar 31, 2022 | 0.73 |
| Dec 31, 2021 | 0.78 |
| Sep 30, 2021 | 0.85 |
API Access
North American Construction Price to Sales 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-sales&ticker=NOA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=NOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();