North American Construction (NOA) EPS (Basic) (2009 - 2026)
North American Construction (NOA) recorded EPS (Basic) of $0.24 in the quarter ended Jun 30, 2026, down 14.4% from $0.28 a year earlier but up 67.4% from the prior quarter.
North American Construction (NOA) EPS (Basic) (2009 - 2026) Analysis & Trends
On a TTM basis, North American Construction's EPS (Basic) came in at $0.82 as of Jun 30, 2026, down 14.9% year-over-year; for the year ended Dec 31, 2025, it came in at $0.85, down 29.6% from the prior year.
- Annual EPS (Basic) has declined for three straight years, with a five-year compound annual growth rate of -8.3% (years ended Dec 2020 to Dec 2025).
- Across earlier years, EPS (Basic) came in at $1.20 in the year ended Dec 31, 2024 (-31.8%), $1.76 in the year ended Dec 31, 2023 (-6.8%), $1.89 in the year ended Dec 31, 2022 (+31.3%) and $1.44 in the year ended Dec 31, 2021 (+10.4%).
- Quarterly EPS (Basic) has ranged from $0.00 in the quarter ended Dec 31, 2025 to $0.95 in the quarter ended Dec 31, 2022 over the past five years.
- On a year-over-year basis, EPS (Basic) has declined for three consecutive quarters, with an average decline of 29.7% over the last eight quarters.
- Peak year-over-year performance for EPS (Basic) in the last five years was growth of 162.7% in the quarter ended Jun 30, 2022, against a decline of 96.7% in the quarter ended Dec 31, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $0.14 (quarter ended Mar 31, 2026), $0.00 (quarter ended Dec 31, 2025) and $0.47 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 96.54 Bn | 94.73 Bn | 1.55 Bn | 3.01 |
| 2 | Ferrovial | 38.99 Bn | 19.58 Bn | - | - |
| 3 | Emcor | 33.36 Bn | 29.75 Bn | 1.02 Bn | 9.09 |
| 4 | Mastec | 17.15 Bn | 16.06 Bn | 556.28 Mn | 1.67 |
| 5 | Jacobs Solutions | 15.84 Bn | 10.49 Bn | 810.70 Mn | 1.16 |
| 6 | Sterling Infrastructure | 15.09 Bn | 13.45 Bn | 289.96 Mn | 5.08 |
| 7 | IES Holdings | 12.79 Bn | 11.66 Bn | 340.66 Mn | 3.84 |
| 8 | Dycom Industries | 8.06 Bn | 7.19 Bn | - | - |
| 9 | Stantec | 7.69 Bn | 7.69 Bn | - | 1.65 |
| 10 | North American Construction | 346.15 Mn | -9.05 Mn | 31.38 Mn | 0.24 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.24 |
| Mar 31, 2026 | 0.14 |
| Dec 31, 2025 | 0.00 |
| Sep 30, 2025 | 0.47 |
| Jun 30, 2025 | 0.28 |
| Mar 31, 2025 | 0.16 |
| Dec 31, 2024 | 0.13 |
| Sep 30, 2024 | 0.40 |
| Jun 30, 2024 | 0.40 |
| Mar 31, 2024 | 0.32 |
| Dec 31, 2023 | 0.66 |
| Sep 30, 2023 | 0.31 |
| Jun 30, 2023 | 0.33 |
| Mar 31, 2023 | 0.59 |
| Dec 31, 2022 | 0.95 |
| Sep 30, 2022 | 0.55 |
| Jun 30, 2022 | 0.21 |
| Mar 31, 2022 | 0.38 |
| Dec 31, 2021 | 0.54 |
| Sep 30, 2021 | 0.39 |
North American Construction EPS (Basic) 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=eps-basic&ticker=NOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=NOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();