IES Holdings (IESC) Buildings (2018 - 2025)
IES Holdings' Buildings came in at $75.18 million for fiscal Q4 2025 (quarter ended Sep 30, 2025), up 34.7% from $55.81 million a year earlier.
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Analysis
IES Holdings (IESC) Buildings (2018 - 2025) Analysis & Trends
Going back to fiscal Q4 2018, IES Holdings' Buildings data covers 8 quarters.
- Buildings has increased in each of the last seven fiscal years, with a five-year compound annual growth rate of 39.2% (FY2020 to FY2025).
- Going back by fiscal year, Buildings was $55.81 million in FY2024 (+65.3%), $33.75 million in FY2023 (+3.9%), $32.48 million in FY2022 (+110.3%) and $15.45 million in FY2021 (+7.4%).
- The fiscal Q4 2025 figure represents the highest quarterly Buildings in data going back to fiscal Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 80.21 Bn | 78.29 Bn | 1.55 Bn |
| 2 | Ferrovial | 35.53 Bn | 13.78 Bn | - |
| 3 | Emcor | 28.47 Bn | 24.87 Bn | 1.02 Bn |
| 4 | Jacobs Solutions | 17.08 Bn | 11.74 Bn | 810.70 Mn |
| 5 | Mastec | 13.07 Bn | 11.86 Bn | 556.28 Mn |
| 6 | Sterling Infrastructure | 10.65 Bn | 8.98 Bn | 289.96 Mn |
| 7 | IES Holdings | 8.49 Bn | 7.35 Bn | 340.66 Mn |
| 8 | Stantec | 8.13 Bn | 7.06 Bn | 1.36 Bn |
| 9 | Aecom | 7.64 Bn | 2.76 Bn | -34.04 Mn |
| 10 | Dycom Industries | 6.31 Bn | 5.45 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 75.18 Mn |
| Sep 30, 2024 | 55.81 Mn |
| Sep 30, 2023 | 33.75 Mn |
| Sep 30, 2022 | 32.48 Mn |
| Sep 30, 2021 | 15.45 Mn |
| Sep 30, 2020 | 14.38 Mn |
| Sep 30, 2019 | 13.61 Mn |
| Sep 30, 2018 | 12.48 Mn |
API Access
IES Holdings Buildings 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=buildings&ticker=IESC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=IESC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();