Emcor (EME) EBITDA (2009 - 2026)
Emcor's EBITDA was $601.6 million in Q2 2026, up 30.3% from $461.86 million a year earlier and up 31.8% from the prior quarter.
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Analysis
Emcor (EME) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Emcor's EBITDA was $2.14 billion through Jun 30, 2026, up 29.8% year-over-year; for FY2025, it was $1.9 billion, up 28.5% from FY2024.
- EBITDA has now increased for five consecutive years, with a five-year compound annual growth rate of 39.2% (FY2020 to FY2025).
- In earlier years, EBITDA was $1.48 billion in FY2024 (+48.6%), $994.72 million in FY2023 (+47.7%), $673.49 million in FY2022 (+4.7%) and $643.25 million in FY2021 (+76.9%).
- Quarterly EBITDA has moved between $127.09 million (Q1 2022) and $623.86 million (Q4 2025) over five years.
- Compared with a year earlier, EBITDA has increased for 17 straight quarters, with growth averaging 31.3% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q2 2024 (growth of 62.7%); the worst was Q1 2022 (a decline of 11.7%).
- Per Business Quant data, EME's EBITDA in the three quarters before Q2 2026 was $456.42 million (Q1 2026), $623.86 million (Q4 2025) and $453.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 96.85 Bn | 95.03 Bn | 1.55 Bn | 968.93 Mn |
| 2 | Ferrovial | 40.19 Bn | 20.78 Bn | - | - |
| 3 | Emcor | 33.87 Bn | 30.26 Bn | 1.02 Bn | 601.60 Mn |
| 4 | Mastec | 16.39 Bn | 15.29 Bn | 556.28 Mn | 349.82 Mn |
| 5 | Jacobs Solutions | 16.20 Bn | 10.85 Bn | 810.70 Mn | 343.89 Mn |
| 6 | Sterling Infrastructure | 15.30 Bn | 13.66 Bn | 289.96 Mn | 244.24 Mn |
| 7 | IES Holdings | 12.83 Bn | 11.70 Bn | 340.66 Mn | 195.50 Mn |
| 8 | Dycom Industries | 7.99 Bn | 7.13 Bn | - | - |
| 9 | Stantec | 7.84 Bn | 7.84 Bn | - | 355.32 Mn |
| 10 | Aecom | 7.65 Bn | 2.97 Bn | -34.04 Mn | -20.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 601.60 Mn |
| Mar 31, 2026 | 456.42 Mn |
| Dec 31, 2025 | 623.86 Mn |
| Sep 30, 2025 | 453.50 Mn |
| Jun 30, 2025 | 461.86 Mn |
| Mar 31, 2025 | 360.70 Mn |
| Dec 31, 2024 | 423.91 Mn |
| Sep 30, 2024 | 398.08 Mn |
| Jun 30, 2024 | 367.04 Mn |
| Mar 31, 2024 | 289.54 Mn |
| Dec 31, 2023 | 320.38 Mn |
| Sep 30, 2023 | 265.27 Mn |
| Jun 30, 2023 | 225.66 Mn |
| Mar 31, 2023 | 183.41 Mn |
| Dec 31, 2022 | 205.16 Mn |
| Sep 30, 2022 | 177.59 Mn |
| Jun 30, 2022 | 163.65 Mn |
| Mar 31, 2022 | 127.09 Mn |
| Dec 31, 2021 | 171.22 Mn |
| Sep 30, 2021 | 166.56 Mn |
API Access
Emcor EBITDA 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=ebitda&ticker=EME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=EME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();