North American Construction (NOA) Exchange Rate Effect (2010 - 2026)
North American Construction (NOA) recorded Exchange Rate Effect of -$318,087 in the quarter ended Jun 30, 2026, compared with $660,367 a year earlier.
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Analysis
North American Construction (NOA) Exchange Rate Effect (2010 - 2026) Analysis & Trends
On a TTM basis, North American Construction's Exchange Rate Effect came in at $6.02 million as of Jun 30, 2026, up 638.2% year-over-year; for the year ended Dec 31, 2025, it came in at $1.02 million, up 297.0% from the prior year.
- Annual Exchange Rate Effect has a four-year compound annual growth rate of 404.0% (years ended Dec 2021 to Dec 2025).
- Across earlier years, Exchange Rate Effect came in at $257,831 in the year ended Dec 31, 2024, -$4.44 million in the year ended Dec 31, 2023, $233,827 in the year ended Dec 31, 2022 and $1,587 in the year ended Dec 31, 2021.
- Quarterly Exchange Rate Effect has ranged from -$3.33 million in the quarter ended Dec 31, 2023 to $5.18 million in the quarter ended Mar 31, 2026 over the past five years.
- Per Business Quant, the preceding three quarters came in at $5.18 million (quarter ended Mar 31, 2026), -$493,355 (quarter ended Dec 31, 2025) and $1.66 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 96.54 Bn | 94.73 Bn | 1.55 Bn | 677,000.00 |
| 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 | -60,000.00 |
| 5 | Jacobs Solutions | 15.84 Bn | 10.49 Bn | 810.70 Mn | -3.28 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 | -318,087.12 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -318,087.12 |
| Mar 31, 2026 | 5.18 Mn |
| Dec 31, 2025 | -493,355.36 |
| Sep 30, 2025 | 1.66 Mn |
| Jun 30, 2025 | 660,366.94 |
| Mar 31, 2025 | -749,185.21 |
| Dec 31, 2024 | -110,956.62 |
| Sep 30, 2024 | 1.02 Mn |
| Jun 30, 2024 | 1.09 Mn |
| Mar 31, 2024 | -1.76 Mn |
| Dec 31, 2023 | -3.33 Mn |
| Sep 30, 2023 | -820,523.52 |
| Jun 30, 2023 | -310,436.68 |
| Mar 31, 2023 | 40,683.30 |
| Dec 31, 2022 | -69,250.08 |
| Sep 30, 2022 | 292,897.07 |
| Jun 30, 2022 | 19,608.52 |
| Mar 31, 2022 | -7,105.28 |
| Dec 31, 2021 | 6,346.69 |
| Sep 30, 2021 | -4,766.46 |
API Access
North American Construction Exchange Rate Effect 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=exchange-rate-effect&ticker=NOA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=NOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();