IES Holdings (IESC) EBITDA Margin (2010 - 2026)
IES Holdings (IESC) reported EBITDA Margin of 15.73% for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 1.85 percentage points from 13.88% a year earlier and up 2.56 percentage points from the prior quarter.
IES Holdings (IESC) EBITDA Margin (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, IES Holdings' EBITDA Margin came in at 13.82%, up 1.51 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it was 12.77%, up 1.05 percentage points from FY2024.
- EBITDA Margin has increased for three consecutive fiscal years, with a five-year change of +7.51 percentage points (FY2020 to FY2025).
- By fiscal year, EBITDA Margin came in at 11.72% in FY2024 (+3.76 pp), 7.96% in FY2023 (+4.20 pp), 3.76% in FY2022 (-3.24 pp) and 7.00% in FY2021 (+1.74 pp).
- The fiscal Q3 2026 figure ranks as the highest quarterly EBITDA Margin in data going back to fiscal Q4 2010.
- Year over year, EBITDA Margin has now increased in each of the last 15 quarters, with an average year-over-year change of +1.17 percentage points over the last eight quarters.
- The high point for year-over-year EBITDA Margin in five years was fiscal Q2 2023 (a gain of 6.52 percentage points); the low point was fiscal Q2 2022 (a drop of 6.67 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 13.17% (Q2 2026), 12.68% (Q1 2026) and 12.98% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 82.18 Bn | 80.26 Bn | 1.55 Bn | 10.14% |
| 2 | Ferrovial | 35.58 Bn | 13.83 Bn | - | - |
| 3 | Emcor | 28.91 Bn | 25.31 Bn | 1.02 Bn | 11.67% |
| 4 | Jacobs Solutions | 17.07 Bn | 11.74 Bn | 810.70 Mn | 8.44% |
| 5 | Mastec | 13.28 Bn | 12.06 Bn | 556.28 Mn | 8.03% |
| 6 | Sterling Infrastructure | 11.02 Bn | 9.35 Bn | 289.96 Mn | 20.92% |
| 7 | IES Holdings | 8.74 Bn | 7.60 Bn | 340.66 Mn | 15.74% |
| 8 | Stantec | 8.11 Bn | 7.04 Bn | 1.36 Bn | 14.76% |
| 9 | Aecom | 7.67 Bn | 2.79 Bn | -34.04 Mn | -0.56% |
| 10 | Dycom Industries | 6.50 Bn | 5.64 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.74% |
| Mar 31, 2026 | 13.19% |
| Dec 31, 2025 | 12.69% |
| Sep 30, 2025 | 13.00% |
| Jun 30, 2025 | 13.90% |
| Mar 31, 2025 | 12.56% |
| Dec 31, 2024 | 11.44% |
| Sep 30, 2024 | 11.10% |
| Jun 30, 2024 | 13.13% |
| Mar 31, 2024 | 12.13% |
| Dec 31, 2023 | 10.35% |
| Sep 30, 2023 | 9.63% |
| Jun 30, 2023 | 7.06% |
| Mar 31, 2023 | 6.77% |
| Dec 31, 2022 | 8.20% |
| Sep 30, 2022 | 5.15% |
| Jun 30, 2022 | 3.89% |
| Mar 31, 2022 | 0.25% |
| Dec 31, 2021 | 5.52% |
| Sep 30, 2021 | 7.47% |
IES Holdings EBITDA Margin 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=ebitda-margin&ticker=IESC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=IESC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();