North American Construction (NOA) Capital Leases (2009 - 2022)
North American Construction (NOA) posted Capital Leases of $14.97 million for the quarter ended Dec 31, 2022, down 36.5% from $23.55 million a year earlier and down 65.2% from the prior quarter.
North American Construction (NOA) Capital Leases (2009 - 2022) Analysis & Trends
As of Dec 31, 2022, North American Construction's Capital Leases came in at $41.8 million, down 23.6% from the prior year.
- Annual Capital Leases has declined for four consecutive years, though with a five-year compound annual growth rate of 7.5% (years ended Dec 2017 to Dec 2022).
- In prior years, North American Construction's Capital Leases was $54.72 million in the year ended Dec 31, 2021 (-21.2%), $69.47 million in the year ended Dec 31, 2020 (-8.9%), $76.28 million in the year ended Dec 31, 2019 (-11.9%) and $86.57 million in the year ended Dec 31, 2018 (+196.9%).
- The figure for the quarter ended Dec 31, 2022 stands as the lowest quarterly Capital Leases since the quarter ended Dec 31, 2012.
- On a year-over-year basis, Capital Leases increased in 1 of the last eight quarters, with an average decline of 26.2%.
- The strongest year-over-year quarter for Capital Leases in the past five years was the quarter ended Sep 30, 2019, with growth of 212.2%; the weakest was the quarter ended Mar 31, 2022, with a decline of 67.7%.
- According to Business Quant data, Capital Leases for the three prior quarters was $42.98 million (quarter ended Sep 30, 2022), $49.71 million (quarter ended Jun 30, 2022) and $24.63 million (quarter ended Mar 31, 2022).
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 |
|---|---|
| Dec 31, 2022 | 14.99 Mn |
| Sep 30, 2022 | 42.98 Mn |
| Jun 30, 2022 | 49.71 Mn |
| Mar 31, 2022 | 25.00 Mn |
| Dec 31, 2021 | 23.29 Mn |
| Sep 30, 2021 | 27.90 Mn |
| Jun 30, 2021 | 68.11 Mn |
| Mar 31, 2021 | 76.34 Mn |
| Dec 31, 2020 | 33.39 Mn |
| Sep 30, 2020 | 78.06 Mn |
| Jun 30, 2020 | 85.12 Mn |
| Mar 31, 2020 | 93.81 Mn |
| Dec 31, 2019 | 36.04 Mn |
| Sep 30, 2019 | 85.02 Mn |
| Jun 30, 2019 | 17.28 Mn |
| Dec 31, 2018 | 39.88 Mn |
| Sep 30, 2018 | 27.31 Mn |
| Jun 30, 2018 | 30.57 Mn |
| Mar 31, 2018 | 35.74 Mn |
| Dec 31, 2017 | 30.11 Mn |
North American Construction Capital 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=capital-leases&ticker=NOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-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=capital-leases&ticker=NOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();