IES Holdings (IESC) Operating Expenses (2010 - 2026)
IES Holdings (IESC) reported Operating Expenses of $162.17 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 27.0% from $127.67 million a year earlier and up 13.7% from the prior quarter.
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Analysis
IES Holdings (IESC) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, IES Holdings' Operating Expenses came in at $555.37 million, up 21.0% year-over-year; for FY2025 (ended Sep 30, 2025), it was $476.12 million, up 19.8% from FY2024.
- Operating Expenses has increased for 13 consecutive fiscal years, with a five-year compound annual growth rate of 22.7% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $397.4 million in FY2024 (+33.0%), $298.9 million in FY2023 (+13.7%), $262.99 million in FY2022 (+29.9%) and $202.46 million in FY2021 (+18.5%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Operating Expenses in data going back to fiscal Q3 2010.
- Year over year, Operating Expenses has now increased in each of the last 33 quarters, with growth averaging 21.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Operating Expenses ran from 9.3% in fiscal Q2 2023 to 40.8% in fiscal Q3 2024.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $142.57 million (Q2 2026), $121.94 million (Q1 2026) and $128.69 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 698.49 Mn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 475.04 Mn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 292.57 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 65.66 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 524.00 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 162.17 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | 972.05 Mn |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | 46.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 162.17 Mn |
| Mar 31, 2026 | 142.57 Mn |
| Dec 31, 2025 | 121.94 Mn |
| Sep 30, 2025 | 128.69 Mn |
| Jun 30, 2025 | 127.67 Mn |
| Mar 31, 2025 | 116.38 Mn |
| Dec 31, 2024 | 103.38 Mn |
| Sep 30, 2024 | 111.50 Mn |
| Jun 30, 2024 | 104.74 Mn |
| Mar 31, 2024 | 95.27 Mn |
| Dec 31, 2023 | 85.89 Mn |
| Sep 30, 2023 | 87.28 Mn |
| Jun 30, 2023 | 74.37 Mn |
| Mar 31, 2023 | 69.42 Mn |
| Dec 31, 2022 | 67.84 Mn |
| Sep 30, 2022 | 72.86 Mn |
| Jun 30, 2022 | 67.16 Mn |
| Mar 31, 2022 | 63.50 Mn |
| Dec 31, 2021 | 59.47 Mn |
| Sep 30, 2021 | 61.54 Mn |
API Access
IES Holdings Operating Expenses 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=operating-expenses&ticker=IESC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=IESC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();