IES Holdings (IESC) EBIT (2010 - 2026)
IES Holdings (IESC) reported EBIT of $178.55 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 59.6% from $111.9 million a year earlier and up 59.1% from the prior quarter.
IES Holdings (IESC) EBIT (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, IES Holdings' EBIT came in at $492.85 million, up 39.1% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $383.53 million, up 27.5% from FY2024.
- EBIT has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 50.3% (FY2020 to FY2025).
- By fiscal year, EBIT came in at $300.88 million in FY2024 (+88.3%), $159.78 million in FY2023 (+185.3%), $56.01 million in FY2022 (-34.6%) and $85.58 million in FY2021 (+70.9%).
- The fiscal Q3 2026 figure ranks as the highest quarterly EBIT in data going back to fiscal Q3 2010.
- Year over year, EBIT has now increased in each of the last 13 quarters, with growth averaging 33.0% over the last eight quarters.
- The high point for year-over-year EBIT in five years was fiscal Q3 2024 (growth of 162.8%); the low point was fiscal Q3 2022 (a decline of 30.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $112.26 million (Q2 2026), $97.73 million (Q1 2026) and $104.31 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 694.83 Mn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 547.34 Mn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 226.20 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 219.26 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 286.70 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 178.55 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | 287.58 Mn |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | -75.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 178.55 Mn |
| Mar 31, 2026 | 112.26 Mn |
| Dec 31, 2025 | 97.73 Mn |
| Sep 30, 2025 | 104.31 Mn |
| Jun 30, 2025 | 111.90 Mn |
| Mar 31, 2025 | 92.70 Mn |
| Dec 31, 2024 | 74.62 Mn |
| Sep 30, 2024 | 75.00 Mn |
| Jun 30, 2024 | 90.18 Mn |
| Mar 31, 2024 | 77.71 Mn |
| Dec 31, 2023 | 57.99 Mn |
| Sep 30, 2023 | 53.19 Mn |
| Jun 30, 2023 | 34.32 Mn |
| Mar 31, 2023 | 31.61 Mn |
| Dec 31, 2022 | 40.66 Mn |
| Sep 30, 2022 | 25.03 Mn |
| Jun 30, 2022 | 15.64 Mn |
| Mar 31, 2022 | -4.92 Mn |
| Dec 31, 2021 | 20.26 Mn |
| Sep 30, 2021 | 30.10 Mn |
IES Holdings EBIT 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=ebit&ticker=IESC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=IESC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();