Emcor (EME) Property, Plant & Equipment (Net) (2009 - 2026)
Emcor's Property, Plant & Equipment (Net) was $303.33 million in Q3 2026, up 28.8% from $235.47 million a year earlier and up 8.9% from the prior quarter.
Emcor (EME) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Emcor came in at $253.28 million, up 22.1% from FY2024.
- Property, Plant & Equipment (Net) has now increased for four consecutive years, with a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $207.49 million in FY2024 (+15.7%), $179.38 million in FY2023 (+13.7%), $157.82 million in FY2022 (+3.8%) and $152.07 million in FY2021 (-4.0%).
- The Q3 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2009.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for 17 straight quarters, with growth averaging 19.4% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q3 2026 (growth of 28.8%); the worst was Q4 2021 (a decline of 4.0%).
- Per Business Quant data, EME's Property, Plant & Equipment (Net) in the three quarters before Q3 2026 was $278.62 million (Q2 2026), $264.7 million (Q1 2026) and $253.28 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.45 Bn | 85.83 Bn | 2.01 Bn | 3.89 Bn |
| 2 | Ferrovial | 44.08 Bn | 24.68 Bn | - | 1.19 Bn |
| 3 | Emcor | 29.16 Bn | 25.43 Bn | 1.11 Bn | 303.33 Mn |
| 4 | Jacobs Solutions | 18.59 Bn | 13.24 Bn | 810.70 Mn | 311.57 Mn |
| 5 | Mastec | 14.15 Bn | 12.69 Bn | 660.86 Mn | 2.06 Bn |
| 6 | Aecom | 9.02 Bn | 4.35 Bn | -34.04 Mn | 459.69 Mn |
| 7 | Sterling Infrastructure | 8.84 Bn | 7.26 Bn | 377.28 Mn | 357.74 Mn |
| 8 | Stantec | 8.59 Bn | 7.47 Bn | 2.08 Bn | 218.80 Mn |
| 9 | IES Holdings | 6.94 Bn | 5.80 Bn | 340.66 Mn | 353.81 Mn |
| 10 | Dycom Industries | 6.79 Bn | 5.09 Bn | 440.55 Mn | 613.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 303.33 Mn |
| Jun 30, 2026 | 278.62 Mn |
| Mar 31, 2026 | 264.70 Mn |
| Dec 31, 2025 | 253.28 Mn |
| Sep 30, 2025 | 235.47 Mn |
| Jun 30, 2025 | 241.95 Mn |
| Mar 31, 2025 | 228.98 Mn |
| Dec 31, 2024 | 207.49 Mn |
| Sep 30, 2024 | 204.55 Mn |
| Jun 30, 2024 | 201.17 Mn |
| Mar 31, 2024 | 186.41 Mn |
| Dec 31, 2023 | 179.38 Mn |
| Sep 30, 2023 | 170.69 Mn |
| Jun 30, 2023 | 162.59 Mn |
| Mar 31, 2023 | 160.42 Mn |
| Dec 31, 2022 | 157.82 Mn |
| Sep 30, 2022 | 156.09 Mn |
| Jun 30, 2022 | 155.41 Mn |
| Mar 31, 2022 | 151.35 Mn |
| Dec 31, 2021 | 152.07 Mn |
Emcor Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=EME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=EME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();