Emcor (EME) Amortizatization of Intangibles (2009 - 2026)
Emcor (EME) posted Amortizatization of Intangibles of $34.87 million for Q2 2026, up 15.9% from $30.09 million a year earlier and up 1.9% from the prior quarter.
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Analysis
Emcor (EME) Amortizatization of Intangibles (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortizatization of Intangibles at Emcor was $131.73 million, up 35.7% year-over-year; for FY2025, it was $119.1 million, up 54.7% from FY2024.
- Annual Amortizatization of Intangibles has increased for three consecutive years, with a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- In prior years, Emcor's Amortizatization of Intangibles was $77 million in FY2024 (+14.7%), $67.14 million in FY2023 (+9.5%), $61.32 million in FY2022 (-4.3%) and $64.1 million in FY2021 (+6.8%).
- The Q2 2026 figure stands as the highest quarterly Amortizatization of Intangibles in data going back to Q3 2009.
- On a year-over-year basis, Amortizatization of Intangibles has increased in each of the last 14 quarters, with growth averaging 37.2% over the last eight quarters.
- The strongest year-over-year quarter for Amortizatization of Intangibles in the past five years was Q1 2025, with growth of 62.2%; the weakest was Q3 2022, with a decline of 10.1%.
- According to Business Quant data, Amortizatization of Intangibles for the three prior quarters was $34.21 million (Q1 2026), $32.13 million (Q4 2025) and $30.52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 156.96 Mn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 34.87 Mn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 37.52 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 | 33.45 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | - |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | - |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.87 Mn |
| Mar 31, 2026 | 34.21 Mn |
| Dec 31, 2025 | 32.13 Mn |
| Sep 30, 2025 | 30.52 Mn |
| Jun 30, 2025 | 30.09 Mn |
| Mar 31, 2025 | 26.36 Mn |
| Dec 31, 2024 | 20.44 Mn |
| Sep 30, 2024 | 20.15 Mn |
| Jun 30, 2024 | 20.16 Mn |
| Mar 31, 2024 | 16.25 Mn |
| Dec 31, 2023 | 17.81 Mn |
| Sep 30, 2023 | 17.24 Mn |
| Jun 30, 2023 | 16.22 Mn |
| Mar 31, 2023 | 15.88 Mn |
| Dec 31, 2022 | 15.85 Mn |
| Sep 30, 2022 | 15.43 Mn |
| Jun 30, 2022 | 14.48 Mn |
| Mar 31, 2022 | 15.55 Mn |
| Dec 31, 2021 | 15.94 Mn |
| Sep 30, 2021 | 17.16 Mn |
API Access
Emcor Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=EME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "EME", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=EME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();