North American Construction (NOA) Operating Leases (2019 - 2026)
North American Construction (NOA) posted Operating Leases of $8.29 million for the quarter ended Jun 30, 2026, up 11.7% from $7.42 million a year earlier and up 20.1% from the prior quarter.
North American Construction (NOA) Operating Leases (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, North American Construction's Operating Leases came in at $6.94 million, down 16.9% from the prior year.
- Annual Operating Leases has declined for three consecutive years, with a five-year compound annual growth rate of -8.0% (years ended Dec 2020 to Dec 2025).
- In prior years, North American Construction's Operating Leases was $8.36 million in the year ended Dec 31, 2024 (-0.3%), $8.38 million in the year ended Dec 31, 2023 (-12.0%), $9.52 million in the year ended Dec 31, 2022 (+4.7%) and $9.09 million in the year ended Dec 31, 2021 (-13.7%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Operating Leases since the quarter ended Sep 30, 2024.
- On a year-over-year basis, Operating Leases increased in two of the last eight quarters, with an average decline of 9.0%.
- The strongest year-over-year quarter for Operating Leases in the past five years was the quarter ended Jun 30, 2026, with growth of 11.7%; the weakest was the quarter ended Mar 31, 2025, with a decline of 22.6%.
- According to Business Quant data, Operating Leases for the three prior quarters was $6.9 million (quarter ended Mar 31, 2026), $6.95 million (quarter ended Dec 31, 2025) and $7.21 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 82.97 Bn | 81.16 Bn | 1.55 Bn |
| 2 | Ferrovial | 35.82 Bn | 16.13 Bn | - |
| 3 | Emcor | 29.22 Bn | 25.61 Bn | 1.02 Bn |
| 4 | Jacobs Solutions | 17.13 Bn | 11.78 Bn | 810.70 Mn |
| 5 | Mastec | 13.77 Bn | 12.68 Bn | 556.28 Mn |
| 6 | Sterling Infrastructure | 11.44 Bn | 9.80 Bn | 289.96 Mn |
| 7 | IES Holdings | 8.80 Bn | 7.66 Bn | 340.66 Mn |
| 8 | Stantec | 8.31 Bn | 7.24 Bn | 1.36 Bn |
| 9 | Aecom | 7.83 Bn | 3.16 Bn | -34.04 Mn |
| 10 | North American Construction | 323.38 Mn | -27.75 Mn | 31.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.07 Mn |
| Mar 31, 2026 | 6.79 Mn |
| Dec 31, 2025 | 7.08 Mn |
| Sep 30, 2025 | 7.13 Mn |
| Jun 30, 2025 | 7.51 Mn |
| Mar 31, 2025 | 7.42 Mn |
| Dec 31, 2024 | 7.97 Mn |
| Sep 30, 2024 | 8.89 Mn |
| Jun 30, 2024 | 9.27 Mn |
| Mar 31, 2024 | 9.51 Mn |
| Dec 31, 2023 | 8.55 Mn |
| Sep 30, 2023 | 8.72 Mn |
| Jun 30, 2023 | 8.88 Mn |
| Mar 31, 2023 | 9.16 Mn |
| Dec 31, 2022 | 9.13 Mn |
| Sep 30, 2022 | 9.31 Mn |
| Jun 30, 2022 | 10.11 Mn |
| Mar 31, 2022 | 8.62 Mn |
| Dec 31, 2021 | 8.99 Mn |
| Sep 30, 2021 | 9.78 Mn |
North American Construction Operating Leases 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=operating-leases&ticker=NOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=NOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();