Emcor (EME) Tax Provisions (2009 - 2026)
Emcor (EME) posted Tax Provisions of $149.63 million for Q3 2026, up 33.3% from $112.22 million a year earlier and up 1.1% from the prior quarter.
Emcor (EME) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Tax Provisions at Emcor was $545.39 million, up 32.4% year-over-year; for FY2025, it came in at $448.81 million, up 21.2% from FY2024.
- Annual Tax Provisions has increased for five consecutive years, with a five-year compound annual growth rate of 30.3% (FY2020 to FY2025).
- In prior years, Emcor's Tax Provisions was $370.24 million in FY2024 (+54.6%), $239.52 million in FY2023 (+56.9%), $152.63 million in FY2022 (+4.8%) and $145.6 million in FY2021 (+21.9%).
- The Q3 2026 figure stands as the highest quarterly Tax Provisions in data going back to Q2 2009.
- On a year-over-year basis, Tax Provisions has increased in each of the last 18 quarters, with growth averaging 26.1% over the last eight quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q2 2024, with growth of 72.4%; the weakest was Q4 2021, with a decline of 28.2%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $147.97 million (Q2 2026), $104.59 million (Q1 2026) and $143.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 87.86 Bn | 84.32 Bn | 2.01 Bn | 237.66 Mn |
| 2 | Ferrovial | 43.95 Bn | 24.55 Bn | - | - |
| 3 | Emcor | 28.40 Bn | 24.67 Bn | 1.11 Bn | 149.63 Mn |
| 4 | Jacobs Solutions | 18.40 Bn | 13.04 Bn | 810.70 Mn | 104.64 Mn |
| 5 | Mastec | 14.54 Bn | 13.22 Bn | 660.86 Mn | 52.44 Mn |
| 6 | Aecom | 9.09 Bn | 4.41 Bn | -34.04 Mn | -26.57 Mn |
| 7 | Sterling Infrastructure | 8.86 Bn | 7.32 Bn | 377.28 Mn | 76.06 Mn |
| 8 | Stantec | 8.64 Bn | 7.57 Bn | 1.36 Bn | 61.88 Mn |
| 9 | IES Holdings | 6.87 Bn | 5.74 Bn | 340.66 Mn | 51.29 Mn |
| 10 | Dycom Industries | 6.60 Bn | 4.90 Bn | 440.55 Mn | 38.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 149.63 Mn |
| Jun 30, 2026 | 147.97 Mn |
| Mar 31, 2026 | 104.59 Mn |
| Dec 31, 2025 | 143.20 Mn |
| Sep 30, 2025 | 112.22 Mn |
| Jun 30, 2025 | 109.87 Mn |
| Mar 31, 2025 | 83.52 Mn |
| Dec 31, 2024 | 106.29 Mn |
| Sep 30, 2024 | 101.81 Mn |
| Jun 30, 2024 | 91.56 Mn |
| Mar 31, 2024 | 70.57 Mn |
| Dec 31, 2023 | 80.23 Mn |
| Sep 30, 2023 | 64.86 Mn |
| Jun 30, 2023 | 53.10 Mn |
| Mar 31, 2023 | 41.33 Mn |
| Dec 31, 2022 | 47.70 Mn |
| Sep 30, 2022 | 42.15 Mn |
| Jun 30, 2022 | 36.32 Mn |
| Mar 31, 2022 | 26.45 Mn |
| Dec 31, 2021 | 41.08 Mn |
Emcor Tax Provisions 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=tax-provisions&ticker=EME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=EME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();