Emcor (EME) Other Accumulated Expenses (2009 - 2026)
Emcor's Other Accumulated Expenses was $393.31 million in Q2 2026, up 20.4% from $326.65 million a year earlier but down 11.2% from the prior quarter.
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Analysis
Emcor (EME) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Emcor came in at $340.79 million, up 1.3% from FY2024.
- Other Accumulated Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- In earlier years, Other Accumulated Expenses was $336.56 million in FY2024 (+6.8%), $315.11 million in FY2023 (+22.0%), $258.19 million in FY2022 (-5.9%) and $274.41 million in FY2021 (+10.8%).
- Quarterly Other Accumulated Expenses has moved between $236.91 million (Q2 2022) and $443.12 million (Q1 2026) over five years.
- Compared with a year earlier, Other Accumulated Expenses has increased for three straight quarters, with growth averaging 7.0% over the last eight quarters.
- The best year-over-year quarter for Other Accumulated Expenses over five years was Q4 2023 (growth of 22.0%); the worst was Q3 2025 (a decline of 11.2%).
- Per Business Quant data, EME's Other Accumulated Expenses in the three quarters before Q2 2026 was $443.12 million (Q1 2026), $340.79 million (Q4 2025) and $277.68 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 393.31 Mn |
| Mar 31, 2026 | 443.12 Mn |
| Dec 31, 2025 | 340.79 Mn |
| Sep 30, 2025 | 277.68 Mn |
| Jun 30, 2025 | 326.65 Mn |
| Mar 31, 2025 | 430.32 Mn |
| Dec 31, 2024 | 336.56 Mn |
| Sep 30, 2024 | 312.80 Mn |
| Jun 30, 2024 | 304.48 Mn |
| Mar 31, 2024 | 363.68 Mn |
| Dec 31, 2023 | 315.11 Mn |
| Sep 30, 2023 | 284.28 Mn |
| Jun 30, 2023 | 270.84 Mn |
| Mar 31, 2023 | 310.79 Mn |
| Dec 31, 2022 | 258.19 Mn |
| Sep 30, 2022 | 248.38 Mn |
| Jun 30, 2022 | 236.91 Mn |
| Mar 31, 2022 | 261.12 Mn |
| Dec 31, 2021 | 274.41 Mn |
| Sep 30, 2021 | 263.18 Mn |
API Access
Emcor Other Accumulated 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=other-accumulated-expenses&ticker=EME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=EME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();