North American Construction (NOA) Inventory (2009 - 2026)
North American Construction's Inventory came in at $61.47 million for the quarter ended Jun 30, 2026, up 14.8% from $53.56 million a year earlier and up 13.0% from the prior quarter.
North American Construction (NOA) Inventory (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, North American Construction's Inventory was $54.15 million, up 7.4% from the prior year.
- Inventory has increased in each of the last five years, with a five-year compound annual growth rate of 30.5% (years ended Dec 2020 to Dec 2025).
- Going back by year, Inventory was $50.42 million in the year ended Dec 31, 2024 (+4.7%), $48.15 million in the year ended Dec 31, 2023 (+25.5%), $38.38 million in the year ended Dec 31, 2022 (+8.6%) and $35.34 million in the year ended Dec 31, 2021 (+147.2%).
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Inventory in data going back to the quarter ended Jun 30, 2012.
- Year-over-year, Inventory has increased for three consecutive quarters, with growth averaging 3.8% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in the quarter ended Sep 30, 2021 (growth of 160.3%), and the weakest in the quarter ended Sep 30, 2022 (a decline of 13.7%).
- Business Quant data shows NOA's Inventory at $54.38 million (quarter ended Mar 31, 2026), $54.25 million (quarter ended Dec 31, 2025) and $53.94 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 96.54 Bn | 94.73 Bn | 1.55 Bn | 469.87 Mn |
| 2 | Ferrovial | 38.99 Bn | 19.58 Bn | - | 628.58 Mn |
| 3 | Emcor | 33.36 Bn | 29.75 Bn | 1.02 Bn | - |
| 4 | Mastec | 17.15 Bn | 16.06 Bn | 556.28 Mn | 113.60 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 | 133.60 Mn |
| 8 | Dycom Industries | 8.06 Bn | 7.19 Bn | - | 128.35 Mn |
| 9 | Stantec | 7.69 Bn | 7.69 Bn | - | - |
| 10 | North American Construction | 346.15 Mn | -9.05 Mn | 31.38 Mn | 61.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.47 Mn |
| Mar 31, 2026 | 54.38 Mn |
| Dec 31, 2025 | 54.25 Mn |
| Sep 30, 2025 | 53.94 Mn |
| Jun 30, 2025 | 53.56 Mn |
| Mar 31, 2025 | 51.74 Mn |
| Dec 31, 2024 | 49.41 Mn |
| Sep 30, 2024 | 56.56 Mn |
| Jun 30, 2024 | 50.73 Mn |
| Mar 31, 2024 | 51.11 Mn |
| Dec 31, 2023 | 47.72 Mn |
| Sep 30, 2023 | 59.38 Mn |
| Jun 30, 2023 | 41.82 Mn |
| Mar 31, 2023 | 39.40 Mn |
| Dec 31, 2022 | 36.76 Mn |
| Sep 30, 2022 | 33.85 Mn |
| Jun 30, 2022 | 37.18 Mn |
| Mar 31, 2022 | 42.65 Mn |
| Dec 31, 2021 | 35.34 Mn |
| Sep 30, 2021 | 39.21 Mn |
North American Construction Inventory 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=inventory&ticker=NOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=NOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();