North American Construction (NOA) Operating Leases (2010 - 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.
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Analysis
North American Construction (NOA) Operating Leases (2010 - 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 Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.29 Mn |
| Mar 31, 2026 | 6.90 Mn |
| Dec 31, 2025 | 6.95 Mn |
| Sep 30, 2025 | 7.21 Mn |
| Jun 30, 2025 | 7.42 Mn |
| Mar 31, 2025 | 7.40 Mn |
| Dec 31, 2024 | 8.19 Mn |
| Sep 30, 2024 | 8.80 Mn |
| Jun 30, 2024 | 9.29 Mn |
| Mar 31, 2024 | 9.55 Mn |
| Dec 31, 2023 | 8.31 Mn |
| Sep 30, 2023 | 8.77 Mn |
| Jun 30, 2023 | 8.76 Mn |
| Mar 31, 2023 | 9.16 Mn |
| Dec 31, 2022 | 9.12 Mn |
| Sep 30, 2022 | 9.76 Mn |
| Jun 30, 2022 | 10.22 Mn |
| Mar 31, 2022 | 8.49 Mn |
| Dec 31, 2021 | 9.09 Mn |
| Sep 30, 2021 | 9.91 Mn |
API Access
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_KEYimport 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();