IES Holdings (IESC) Operating Leases (2019 - 2026)
IES Holdings (IESC) reported Operating Leases of $76.94 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 46.1% from $52.67 million a year earlier and up 6.3% from the prior quarter.
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Analysis
IES Holdings (IESC) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), IES Holdings posted Operating Leases of $61.97 million, up 53.2% from FY2024.
- Operating Leases has a five-year compound annual growth rate of 24.7% (FY2020 to FY2025).
- By fiscal year, Operating Leases came in at $40.45 million in FY2024 (-3.9%), $42.1 million in FY2023 (+10.4%), $38.14 million in FY2022 (+33.1%) and $28.65 million in FY2021 (+39.5%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Operating Leases in data going back to fiscal Q1 2020.
- Year over year, Operating Leases has now increased in each of the last six quarters, with growth averaging 33.0% over the last eight quarters.
- The high point for year-over-year Operating Leases in five years was fiscal Q1 2026 (growth of 60.2%); the low point was fiscal Q4 2024 (a decline of 3.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $72.38 million (Q2 2026), $65.79 million (Q1 2026) and $61.97 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76.94 Mn |
| Mar 31, 2026 | 72.38 Mn |
| Dec 31, 2025 | 65.79 Mn |
| Sep 30, 2025 | 61.97 Mn |
| Jun 30, 2025 | 52.67 Mn |
| Mar 31, 2025 | 51.65 Mn |
| Dec 31, 2024 | 41.06 Mn |
| Sep 30, 2024 | 40.45 Mn |
| Jun 30, 2024 | 38.72 Mn |
| Mar 31, 2024 | 38.18 Mn |
| Dec 31, 2023 | 42.34 Mn |
| Sep 30, 2023 | 42.10 Mn |
| Jun 30, 2023 | 36.14 Mn |
| Mar 31, 2023 | 36.68 Mn |
| Dec 31, 2022 | 38.76 Mn |
| Sep 30, 2022 | 38.14 Mn |
| Jun 30, 2022 | 27.96 Mn |
| Mar 31, 2022 | 28.37 Mn |
| Dec 31, 2021 | 27.52 Mn |
| Sep 30, 2021 | 28.65 Mn |
API Access
IES Holdings Operating Leases 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-leases&ticker=IESC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=IESC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();