Emcor (EME) Operating Expenses (2009 - 2026)
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Analysis
Emcor (EME) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 87.86 Bn | 84.32 Bn | 2.01 Bn | 783.29 Mn |
| 2 | Ferrovial | 43.95 Bn | 24.55 Bn | - | - |
| 3 | Emcor | 28.40 Bn | 24.67 Bn | 1.11 Bn | 528.43 Mn |
| 4 | Jacobs Solutions | 18.40 Bn | 13.04 Bn | 810.70 Mn | 524.00 Mn |
| 5 | Mastec | 14.54 Bn | 13.22 Bn | 660.86 Mn | 322.35 Mn |
| 6 | Aecom | 9.09 Bn | 4.41 Bn | -34.04 Mn | 46.45 Mn |
| 7 | Sterling Infrastructure | 8.86 Bn | 7.32 Bn | 377.28 Mn | 63.50 Mn |
| 8 | Stantec | 8.64 Bn | 7.57 Bn | 1.36 Bn | 972.05 Mn |
| 9 | IES Holdings | 6.87 Bn | 5.74 Bn | 340.66 Mn | 162.30 Mn |
| 10 | Dycom Industries | 6.60 Bn | 4.90 Bn | 440.55 Mn | 1.81 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 528.43 Mn |
| Jun 30, 2026 | 475.04 Mn |
| Mar 31, 2026 | 460.11 Mn |
| Dec 31, 2025 | 462.31 Mn |
| Sep 30, 2025 | 429.62 Mn |
| Jun 30, 2025 | 418.56 Mn |
| Mar 31, 2025 | 403.96 Mn |
| Dec 31, 2024 | 368.45 Mn |
| Sep 30, 2024 | 371.19 Mn |
| Jun 30, 2024 | 351.19 Mn |
| Mar 31, 2024 | 329.36 Mn |
| Dec 31, 2023 | 328.55 Mn |
| Sep 30, 2023 | 308.14 Mn |
| Jun 30, 2023 | 293.39 Mn |
| Mar 31, 2023 | 281.15 Mn |
| Dec 31, 2022 | 277.62 Mn |
| Sep 30, 2022 | 263.14 Mn |
| Jun 30, 2022 | 245.36 Mn |
| Mar 31, 2022 | 252.60 Mn |
| Dec 31, 2021 | 260.03 Mn |
API Access
Emcor Operating Expenses 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=operating-expenses&ticker=EME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=EME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();