IES Holdings (IESC) EBITDA (2010 - 2026)
IES Holdings (IESC) posted EBITDA of $195.5 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 58.2% from $123.57 million a year earlier and up 52.3% from the prior quarter.
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Analysis
IES Holdings (IESC) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at IES Holdings was $550.81 million, up 37.7% year-over-year; for FY2025 (ended Sep 30, 2025), it was $430.47 million, up 27.4% from FY2024.
- Annual EBITDA has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 47.1% (FY2020 to FY2025).
- In prior fiscal years, IES Holdings' EBITDA was $337.98 million in FY2024 (+78.7%), $189.18 million in FY2023 (+132.2%), $81.48 million in FY2022 (-24.2%) and $107.5 million in FY2021 (+71.7%).
- The fiscal Q3 2026 figure stands as the highest quarterly EBITDA in data going back to fiscal Q4 2010.
- On a year-over-year basis, EBITDA has increased in each of the last 13 quarters, with growth averaging 32.3% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q3 2024, with growth of 144.7%; the weakest was fiscal Q2 2022, with a decline of 94.6%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $128.35 million (Q2 2026), $110.41 million (Q1 2026) and $116.56 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 968.93 Mn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 601.60 Mn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 349.82 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 244.24 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 343.89 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 195.50 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | 355.32 Mn |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | -20.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 195.50 Mn |
| Mar 31, 2026 | 128.35 Mn |
| Dec 31, 2025 | 110.41 Mn |
| Sep 30, 2025 | 116.56 Mn |
| Jun 30, 2025 | 123.57 Mn |
| Mar 31, 2025 | 104.64 Mn |
| Dec 31, 2024 | 85.71 Mn |
| Sep 30, 2024 | 86.05 Mn |
| Jun 30, 2024 | 100.79 Mn |
| Mar 31, 2024 | 85.54 Mn |
| Dec 31, 2023 | 65.61 Mn |
| Sep 30, 2023 | 62.46 Mn |
| Jun 30, 2023 | 41.20 Mn |
| Mar 31, 2023 | 38.47 Mn |
| Dec 31, 2022 | 47.05 Mn |
| Sep 30, 2022 | 31.76 Mn |
| Jun 30, 2022 | 22.01 Mn |
| Mar 31, 2022 | 1.23 Mn |
| Dec 31, 2021 | 26.48 Mn |
| Sep 30, 2021 | 36.11 Mn |
API Access
IES Holdings EBITDA 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=ebitda&ticker=IESC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "IESC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=IESC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();