IES Holdings (IESC) Revenue (2010 - 2026)
IES Holdings' Revenue came in at $1.24 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 39.6% from $890.16 million a year earlier and up 27.5% from the prior quarter.
IES Holdings (IESC) Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, IES Holdings reported Revenue of $3.99 billion, up 22.7% year-over-year; for FY2025 (ended Sep 30, 2025), it was $3.37 billion, up 16.9% from FY2024.
- Revenue has increased in each of the last 15 fiscal years, with a five-year compound annual growth rate of 23.1% (FY2020 to FY2025).
- Going back by fiscal year, Revenue was $2.88 billion in FY2024 (+21.3%), $2.38 billion in FY2023 (+9.7%), $2.17 billion in FY2022 (+41.0%) and $1.54 billion in FY2021 (+29.0%).
- The fiscal Q3 2026 figure represents the highest quarterly Revenue in data going back to fiscal Q3 2010.
- Year-over-year, Revenue has increased for 49 consecutive quarters, with growth averaging 20.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Revenue ran from 3.0% in fiscal Q3 2023 to 52.6% in fiscal Q1 2022.
- Business Quant data shows IESC's Revenue at $974.28 million (Q2 2026), $870.96 million (Q1 2026) and $897.8 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 9.56 Bn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 5.15 Bn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 4.37 Bn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 1.17 Bn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 4.08 Bn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 1.24 Bn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | 2.51 Bn |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | 3.59 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.24 Bn |
| Mar 31, 2026 | 974.28 Mn |
| Dec 31, 2025 | 870.96 Mn |
| Sep 30, 2025 | 897.80 Mn |
| Jun 30, 2025 | 890.16 Mn |
| Mar 31, 2025 | 833.96 Mn |
| Dec 31, 2024 | 749.55 Mn |
| Sep 30, 2024 | 775.77 Mn |
| Jun 30, 2024 | 768.42 Mn |
| Mar 31, 2024 | 705.73 Mn |
| Dec 31, 2023 | 634.44 Mn |
| Sep 30, 2023 | 649.02 Mn |
| Jun 30, 2023 | 584.45 Mn |
| Mar 31, 2023 | 568.88 Mn |
| Dec 31, 2022 | 574.87 Mn |
| Sep 30, 2022 | 617.41 Mn |
| Jun 30, 2022 | 567.30 Mn |
| Mar 31, 2022 | 501.59 Mn |
| Dec 31, 2021 | 480.51 Mn |
| Sep 30, 2021 | 483.82 Mn |
IES Holdings Revenue 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=revenue&ticker=IESC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=IESC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();