Emcor (EME) Long-Term Debt Repayments (2009 - 2026)
Emcor (EME) recorded Long-Term Debt Repayments of $689,000 in Q3 2026, up 6.2% from $649,000 a year earlier and up 1.2% from the prior quarter.
Emcor (EME) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a TTM basis, Emcor's Long-Term Debt Repayments came in at $2.63 million as of Sep 30, 2026, down 6.0% year-over-year; for FY2025, it was $2.69 million, down 5.7% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -60.8% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $2.86 million in FY2024 (-98.9%), $248.95 million in FY2023, $17.43 million in FY2022 (-3.5%) and $18.06 million in FY2021 (-93.8%).
- The Q3 2026 figure is the highest quarterly Long-Term Debt Repayments since Q1 2025.
- On a year-over-year basis, Long-Term Debt Repayments rose in four of the last eight quarters, with an average decline of 16.0%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 608.2% in Q4 2023, against a decline of 99.5% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $681,000 (Q2 2026), $646,000 (Q1 2026) and $610,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.31 Bn | 85.69 Bn | 2.01 Bn | 10.18 Bn |
| 2 | Ferrovial | 44.08 Bn | 24.68 Bn | - | - |
| 3 | Emcor | 29.16 Bn | 25.43 Bn | 1.11 Bn | 689,000.00 |
| 4 | Jacobs Solutions | 18.59 Bn | 13.24 Bn | 810.70 Mn | 710.00 Mn |
| 5 | Mastec | 14.14 Bn | 12.67 Bn | 660.86 Mn | 2.77 Bn |
| 6 | Aecom | 9.02 Bn | 4.35 Bn | -34.04 Mn | 1.43 Bn |
| 7 | Sterling Infrastructure | 8.80 Bn | 7.22 Bn | 377.28 Mn | 353.87 Mn |
| 8 | Stantec | 8.59 Bn | 7.47 Bn | 2.08 Bn | -71.43 Mn |
| 9 | IES Holdings | 6.94 Bn | 5.80 Bn | 340.66 Mn | 138.36 Mn |
| 10 | Dycom Industries | 6.79 Bn | 5.09 Bn | 440.55 Mn | 97,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 689,000.00 |
| Jun 30, 2026 | 681,000.00 |
| Mar 31, 2026 | 646,000.00 |
| Dec 31, 2025 | 610,000.00 |
| Sep 30, 2025 | 649,000.00 |
| Jun 30, 2025 | 658,000.00 |
| Mar 31, 2025 | 775,000.00 |
| Dec 31, 2024 | 711,000.00 |
| Sep 30, 2024 | 751,000.00 |
| Jun 30, 2024 | 620,000.00 |
| Mar 31, 2024 | 773,000.00 |
| Dec 31, 2023 | 104.00 Mn |
| Sep 30, 2023 | 143.47 Mn |
| Jun 30, 2023 | 697,000.00 |
| Mar 31, 2023 | 780,000.00 |
| Dec 31, 2022 | 14.69 Mn |
| Sep 30, 2022 | 852,000.00 |
| Jun 30, 2022 | 910,000.00 |
| Mar 31, 2022 | 979,000.00 |
| Dec 31, 2021 | 14.81 Mn |
Emcor Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=EME&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=EME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();