Emcor (EME) Depreciation and Depletion (2009 - 2026)
Emcor (EME) posted Depreciation and Depletion of $19.39 million for Q2 2026, up 17.1% from $16.56 million a year earlier and up 5.6% from the prior quarter.
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Analysis
Emcor (EME) Depreciation and Depletion (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Emcor was $73.01 million, up 18.9% year-over-year; for FY2025, it came in at $67.4 million, up 18.9% from FY2024.
- Annual Depreciation and Depletion has increased for three consecutive years, with a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- In prior years, Emcor's Depreciation and Depletion was $56.7 million in FY2024 (+9.4%), $51.82 million in FY2023 (+9.6%), $47.3 million in FY2022 (-2.2%) and $48.35 million in FY2021 (+3.5%).
- The Q2 2026 figure stands as the highest quarterly Depreciation and Depletion in data going back to Q3 2009.
- On a year-over-year basis, Depreciation and Depletion has increased in each of the last 14 quarters, with growth averaging 16.5% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q4 2025, with growth of 20.6%; the weakest was Q2 2022, with a decline of 4.8%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $18.36 million (Q1 2026), $17.97 million (Q4 2025) and $17.29 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 117.14 Mn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 19.39 Mn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 86.10 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 17.50 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 | 19.39 Mn |
| Mar 31, 2026 | 18.36 Mn |
| Dec 31, 2025 | 17.97 Mn |
| Sep 30, 2025 | 17.29 Mn |
| Jun 30, 2025 | 16.56 Mn |
| Mar 31, 2025 | 15.58 Mn |
| Dec 31, 2024 | 14.90 Mn |
| Sep 30, 2024 | 14.39 Mn |
| Jun 30, 2024 | 14.07 Mn |
| Mar 31, 2024 | 13.34 Mn |
| Dec 31, 2023 | 13.38 Mn |
| Sep 30, 2023 | 13.05 Mn |
| Jun 30, 2023 | 12.77 Mn |
| Mar 31, 2023 | 12.62 Mn |
| Dec 31, 2022 | 12.13 Mn |
| Sep 30, 2022 | 12.06 Mn |
| Jun 30, 2022 | 11.53 Mn |
| Mar 31, 2022 | 11.58 Mn |
| Dec 31, 2021 | 12.26 Mn |
| Sep 30, 2021 | 11.98 Mn |
API Access
Emcor Depreciation and Depletion 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=depreciation-and-depletion&ticker=EME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=EME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();