IES Holdings (IESC) Tax Provisions (2010 - 2026)
IES Holdings' Tax Provisions was $51.29 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 74.1% from $29.46 million a year earlier and up 33.9% from the prior quarter.
IES Holdings (IESC) Tax Provisions (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, IES Holdings' Tax Provisions was $139.29 million through Jun 30, 2026, up 54.1% year-over-year; for FY2025 (ended Sep 30, 2025), it was $96.81 million, up 34.1% from FY2024.
- Tax Provisions has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 61.8% (FY2020 to FY2025).
- In earlier fiscal years, Tax Provisions was $72.17 million in FY2024 (+86.2%), $38.76 million in FY2023 (+202.5%), $12.82 million in FY2022 (-21.0%) and $16.23 million in FY2021 (+85.7%).
- The fiscal Q3 2026 figure marks the highest quarterly Tax Provisions in data going back to fiscal Q3 2010.
- Compared with a year earlier, Tax Provisions has increased for 13 straight quarters, with growth averaging 40.2% over the last eight quarters.
- The year-over-year growth in Tax Provisions has ranged between 2.8% (fiscal Q4 2022) and 452.4% (fiscal Q4 2021) over the last five years.
- Per Business Quant data, IESC's Tax Provisions in the three fiscal quarters before Q3 2026 was $38.32 million (Q2 2026), $28.41 million (Q1 2026) and $21.27 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 157.58 Mn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 147.97 Mn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 48.00 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 51.32 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 104.64 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 51.29 Mn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | - |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | 61.88 Mn |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | -26.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.29 Mn |
| Mar 31, 2026 | 38.32 Mn |
| Dec 31, 2025 | 28.41 Mn |
| Sep 30, 2025 | 21.27 Mn |
| Jun 30, 2025 | 29.46 Mn |
| Mar 31, 2025 | 26.09 Mn |
| Dec 31, 2024 | 19.98 Mn |
| Sep 30, 2024 | 14.82 Mn |
| Jun 30, 2024 | 22.57 Mn |
| Mar 31, 2024 | 19.37 Mn |
| Dec 31, 2023 | 15.40 Mn |
| Sep 30, 2023 | 12.31 Mn |
| Jun 30, 2023 | 8.26 Mn |
| Mar 31, 2023 | 8.16 Mn |
| Dec 31, 2022 | 10.03 Mn |
| Sep 30, 2022 | 6.52 Mn |
| Jun 30, 2022 | 3.61 Mn |
| Mar 31, 2022 | -1.29 Mn |
| Dec 31, 2021 | 3.98 Mn |
| Sep 30, 2021 | 6.34 Mn |
IES Holdings Tax Provisions 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=tax-provisions&ticker=IESC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=IESC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();