IES Holdings (IESC) Cost of Revenue (2010 - 2026)
IES Holdings' Cost of Revenue came in at $902.04 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 38.7% from $650.56 million a year earlier and up 25.4% from the prior quarter.
IES Holdings (IESC) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, IES Holdings reported Cost of Revenue of $2.94 billion, up 20.6% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $2.51 billion, up 14.8% from FY2024.
- Cost of Revenue has increased in each of the last 15 fiscal years, with a five-year compound annual growth rate of 21.1% (FY2020 to FY2025).
- Going back by fiscal year, Cost of Revenue was $2.19 billion in FY2024 (+13.2%), $1.93 billion in FY2023 (+4.6%), $1.85 billion in FY2022 (+48.0%) and $1.25 billion in FY2021 (+29.7%).
- The fiscal Q3 2026 figure represents the highest quarterly Cost of Revenue in data going back to fiscal Q3 2010.
- Year-over-year, Cost of Revenue has increased for 11 consecutive quarters, with growth averaging 17.9% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q2 2022 (growth of 65.9%), and the weakest in fiscal Q4 2023 (a decline of 2.1%).
- Business Quant data shows IESC's Cost of Revenue at $719.5 million (Q2 2026), $650.94 million (Q1 2026) and $664.8 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 8.01 Bn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 4.13 Bn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 3.82 Bn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 878.22 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 3.27 Bn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 902.04 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 | 3.62 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 902.04 Mn |
| Mar 31, 2026 | 719.50 Mn |
| Dec 31, 2025 | 650.94 Mn |
| Sep 30, 2025 | 664.80 Mn |
| Jun 30, 2025 | 650.56 Mn |
| Mar 31, 2025 | 625.09 Mn |
| Dec 31, 2024 | 571.52 Mn |
| Sep 30, 2024 | 589.37 Mn |
| Jun 30, 2024 | 573.63 Mn |
| Mar 31, 2024 | 534.12 Mn |
| Dec 31, 2023 | 490.64 Mn |
| Sep 30, 2023 | 508.46 Mn |
| Jun 30, 2023 | 476.84 Mn |
| Mar 31, 2023 | 467.96 Mn |
| Dec 31, 2022 | 479.44 Mn |
| Sep 30, 2022 | 519.51 Mn |
| Jun 30, 2022 | 484.50 Mn |
| Mar 31, 2022 | 443.09 Mn |
| Dec 31, 2021 | 400.78 Mn |
| Sep 30, 2021 | 392.21 Mn |
IES Holdings Cost of 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=cost-of-revenue&ticker=IESC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=IESC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();