North American Construction (NOA) Change in Accured Expenses (2021 - 2022)
North American Construction's Change in Accured Expenses came in at -$250.00 for the year ended Dec 31, 2025, compared with -$348.00 a year earlier.
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Analysis
North American Construction (NOA) Change in Accured Expenses (2021 - 2022) Analysis & Trends
Going back to the year ended Dec 31, 2017, North American Construction's Change in Accured Expenses data covers 7 years.
- The figure for the year ended Dec 31, 2025 represents the highest annual Change in Accured Expenses since the year ended Dec 31, 2020.
- Per Business Quant, earlier years put Change in Accured Expenses at -$348.00 in the year ended Dec 31, 2024, -$576.00 in the year ended Dec 31, 2023 and -$961.00 in the year ended Dec 31, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 762.98 Mn |
| 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 | 143.25 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 | -74.92 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 72.13 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 |
|---|---|
| Dec 31, 2022 | 64.00 |
| Sep 30, 2022 | 96,000.00 |
| Sep 30, 2021 | -14,000.00 |
API Access
North American Construction Change in Accured Expenses 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=change-in-accured-expenses&ticker=NOA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=NOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();