Emcor (EME) Cash from Operations (2009 - 2026)
Emcor (EME) posted Cash from Operations of $796.72 million for Q3 2026, up 67.6% from $475.5 million a year earlier and up 175.3% from the prior quarter.
Emcor (EME) Cash from Operations (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Cash from Operations at Emcor was $1.61 billion, up 29.2% year-over-year; for FY2025, it was $1.3 billion, down 7.5% from FY2024.
- Annual Cash from Operations shows a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- In prior years, Emcor's Cash from Operations was $1.41 billion in FY2024 (+56.5%), $899.66 million in FY2023 (+80.7%), $497.93 million in FY2022 (+56.2%) and $318.82 million in FY2021 (-60.5%).
- The Q3 2026 figure stands as the highest quarterly Cash from Operations in data going back to Q3 2009.
- On a year-over-year basis, Cash from Operations increased in four of the last eight quarters, with an average decline of 2.3%.
- The strongest year-over-year quarter for Cash from Operations in the past five years was Q2 2023, with growth of 289.2%; the weakest was Q1 2026, with a decline of 99.5%.
- According to Business Quant data, Cash from Operations for the three prior quarters was $289.36 million (Q2 2026), $558,000 (Q1 2026) and $524.4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.31 Bn | 85.69 Bn | 2.01 Bn | 1.45 Bn |
| 2 | Ferrovial | 44.08 Bn | 24.68 Bn | - | - |
| 3 | Emcor | 29.16 Bn | 25.43 Bn | 1.11 Bn | 796.72 Mn |
| 4 | Jacobs Solutions | 18.59 Bn | 13.24 Bn | 810.70 Mn | 456.12 Mn |
| 5 | Mastec | 14.14 Bn | 12.67 Bn | 660.86 Mn | 267.45 Mn |
| 6 | Aecom | 9.02 Bn | 4.35 Bn | -34.04 Mn | 95.23 Mn |
| 7 | Sterling Infrastructure | 8.80 Bn | 7.22 Bn | 377.28 Mn | 99.07 Mn |
| 8 | Stantec | 8.59 Bn | 7.47 Bn | 2.08 Bn | 363.31 Mn |
| 9 | IES Holdings | 6.94 Bn | 5.80 Bn | 340.66 Mn | 108.43 Mn |
| 10 | Dycom Industries | 6.79 Bn | 5.09 Bn | 440.55 Mn | 103.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 796.72 Mn |
| Jun 30, 2026 | 289.36 Mn |
| Mar 31, 2026 | 558,000.00 |
| Dec 31, 2025 | 524.40 Mn |
| Sep 30, 2025 | 475.50 Mn |
| Jun 30, 2025 | 193.69 Mn |
| Mar 31, 2025 | 108.47 Mn |
| Dec 31, 2024 | 469.49 Mn |
| Sep 30, 2024 | 526.44 Mn |
| Jun 30, 2024 | 279.69 Mn |
| Mar 31, 2024 | 132.26 Mn |
| Dec 31, 2023 | 423.76 Mn |
| Sep 30, 2023 | 260.97 Mn |
| Jun 30, 2023 | 299.52 Mn |
| Mar 31, 2023 | -84.58 Mn |
| Dec 31, 2022 | 259.58 Mn |
| Sep 30, 2022 | 257.21 Mn |
| Jun 30, 2022 | 76.96 Mn |
| Mar 31, 2022 | -95.81 Mn |
| Dec 31, 2021 | 204.88 Mn |
Emcor Cash from Operations 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=cash-from-operations&ticker=EME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=EME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();