Emcor (EME) Capital Expenditures (2009 - 2026)
Emcor (EME) posted Capital Expenditures of $31.15 million for Q2 2026, up 11.1% from $28.04 million a year earlier and up 8.5% from the prior quarter.
Emcor (EME) Capital Expenditures (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at Emcor was $118.44 million, up 32.2% year-over-year; for FY2025, it came in at $112.75 million, up 50.4% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 18.6% (FY2020 to FY2025).
- In prior years, Emcor's Capital Expenditures was $74.95 million in FY2024 (-4.4%), $78.4 million in FY2023 (+59.1%), $49.29 million in FY2022 (+36.2%) and $36.19 million in FY2021 (-24.6%).
- Quarterly Capital Expenditures has run from a low of $9.22 million in Q3 2021 to a high of $31.92 million in Q4 2025 over five years.
- On a year-over-year basis, Capital Expenditures has increased in each of the last six quarters, with growth averaging 24.5% over the last eight quarters.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q4 2023, with growth of 109.0%; the weakest was Q4 2021, with a decline of 25.8%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $28.71 million (Q1 2026), $31.92 million (Q4 2025) and $26.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 230.96 Mn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 31.15 Mn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 91.51 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 50.02 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 25.13 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 44.64 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | -30.00 Mn |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | 40.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.15 Mn |
| Mar 31, 2026 | 28.71 Mn |
| Dec 31, 2025 | 31.92 Mn |
| Sep 30, 2025 | 26.66 Mn |
| Jun 30, 2025 | 28.04 Mn |
| Mar 31, 2025 | 26.13 Mn |
| Dec 31, 2024 | 17.71 Mn |
| Sep 30, 2024 | 17.72 Mn |
| Jun 30, 2024 | 19.25 Mn |
| Mar 31, 2024 | 20.28 Mn |
| Dec 31, 2023 | 22.10 Mn |
| Sep 30, 2023 | 19.74 Mn |
| Jun 30, 2023 | 13.41 Mn |
| Mar 31, 2023 | 23.15 Mn |
| Dec 31, 2022 | 10.57 Mn |
| Sep 30, 2022 | 10.97 Mn |
| Jun 30, 2022 | 16.25 Mn |
| Mar 31, 2022 | 11.50 Mn |
| Dec 31, 2021 | 10.24 Mn |
| Sep 30, 2021 | 9.22 Mn |
Emcor Capital Expenditures 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=capital-expenditures&ticker=EME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=EME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();