North American Construction (NOA) Accumulated Expenses (2009 - 2026)
North American Construction (NOA) reported Accumulated Expenses of $68.57 million for the quarter ended Jun 30, 2026, up 55.8% from $44 million a year earlier.
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Analysis
North American Construction (NOA) Accumulated Expenses (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, North American Construction posted Accumulated Expenses of -$89.31 million.
- By year, Accumulated Expenses came in at -$78.01 million in the year ended Dec 31, 2024, $53.53 million in the year ended Dec 31, 2023, -$43.78 million in the year ended Dec 31, 2022 and -$33.39 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Accumulated Expenses in data going back to the quarter ended Jun 30, 2012.
- Year over year, Accumulated Expenses gained in five of the last six quarters, with growth averaging 22.1%.
- The high point for year-over-year Accumulated Expenses in five years was the quarter ended Mar 31, 2024 (growth of 99.3%); the low point was the quarter ended Mar 31, 2025 (a decline of 9.2%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at -$92.86 million (quarter ended Mar 31, 2026), $64.04 million (quarter ended Dec 31, 2025) and $56.27 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 | 68.57 Mn |
| Mar 31, 2026 | -92.86 Mn |
| Dec 31, 2025 | 64.04 Mn |
| Sep 30, 2025 | 56.27 Mn |
| Jun 30, 2025 | 44.00 Mn |
| Mar 31, 2025 | 41.43 Mn |
| Dec 31, 2024 | 55.84 Mn |
| Sep 30, 2024 | 34.98 Mn |
| Jun 30, 2024 | 41.75 Mn |
| Mar 31, 2024 | 45.64 Mn |
| Dec 31, 2023 | 53.05 Mn |
| Sep 30, 2023 | -41.02 Mn |
| Jun 30, 2023 | -23.23 Mn |
| Mar 31, 2023 | 22.90 Mn |
| Dec 31, 2022 | 32.26 Mn |
| Sep 30, 2022 | -23.44 Mn |
| Jun 30, 2022 | -19.50 Mn |
| Mar 31, 2022 | 18.80 Mn |
| Dec 31, 2021 | 26.49 Mn |
| Sep 30, 2021 | 1.73 Mn |
API Access
North American Construction Accumulated 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=accumulated-expenses&ticker=NOA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=NOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();