Emcor (EME) Acquisitions (2009 - 2026)
Emcor (EME) recorded Acquisitions of $51.28 million in Q2 2026, up 40.1% from $36.59 million a year earlier and up 17.4% from the prior quarter.
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Analysis
Emcor (EME) Acquisitions (2009 - 2026) Analysis & Trends
On a TTM basis, Emcor's Acquisitions came in at $229.82 million as of Jun 30, 2026, down 75.6% year-over-year; for FY2025, it came in at $1.02 billion, up 348.0% from FY2024.
- Annual Acquisitions has a five-year compound annual growth rate of 82.6% (FY2020 to FY2025).
- Across earlier years, Acquisitions came in at $228.17 million in FY2024 (+136.5%), $96.49 million in FY2023 (-2.2%), $98.66 million in FY2022 (-16.6%) and $118.24 million in FY2021 (+134.8%).
- Quarterly Acquisitions has ranged from $100,000 in Q1 2024 to $850.64 million in Q1 2025 over the past five years.
- On a year-over-year basis, Acquisitions rose in three of the last seven quarters, with growth averaging 66.1%.
- Peak year-over-year performance for Acquisitions in the last five years was growth of 477.3% in Q4 2024, against a decline of 99.2% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $43.67 million (Q1 2026), $121.61 million (Q4 2025) and $13.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 907.38 Mn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 51.28 Mn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | - |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 139.99 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | - |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | - |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | -1.63 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 | 51.28 Mn |
| Mar 31, 2026 | 43.67 Mn |
| Dec 31, 2025 | 121.61 Mn |
| Sep 30, 2025 | 13.26 Mn |
| Jun 30, 2025 | 36.59 Mn |
| Mar 31, 2025 | 850.64 Mn |
| Dec 31, 2024 | 38.97 Mn |
| Sep 30, 2024 | 15.94 Mn |
| Jun 30, 2024 | 173.17 Mn |
| Mar 31, 2024 | 100,000.00 |
| Dec 31, 2023 | 6.75 Mn |
| Sep 30, 2023 | 67.36 Mn |
| Jun 30, 2023 | 10.55 Mn |
| Mar 31, 2023 | 11.83 Mn |
| Dec 31, 2022 | 7.58 Mn |
| Sep 30, 2022 | 64.46 Mn |
| Jun 30, 2022 | 23.70 Mn |
| Mar 31, 2022 | 2.91 Mn |
| Dec 31, 2021 | 4.58 Mn |
| Sep 30, 2021 | 57.81 Mn |
API Access
Emcor Acquisitions 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=acquisitions&ticker=EME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=EME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();