IES Holdings (IESC) Debt Ratio (2010 - 2026)
IES Holdings' (IESC) Debt Ratio was 0.02 for fiscal Q2 2026 (quarter ended Mar 31, 2026).
Analysis
IES Holdings (IESC) Debt Ratio (2010 - 2026) Analysis & Trends
For FY2022 (ended Sep 30, 2022), Debt Ratio at IES Holdings was 0.09, up 68.4% from FY2021.
- By fiscal year, Debt Ratio came in at 0.05 in FY2021, 0.00 in FY2020 (-42.3%), 0.00 in FY2019 (-99.0%) and 0.07 in FY2018 (+1.0%).
- The fiscal Q2 2026 figure ranks as the highest quarterly Debt Ratio since fiscal Q1 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 0.22 |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | 0.35 |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | - |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 0.25 |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 0.09 |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 0.30 |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | - |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | 0.47 |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | 0.04 |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | 0.23 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.02 |
| Jun 30, 2025 | 0.01 |
| Mar 31, 2023 | 0.02 |
| Dec 31, 2022 | 0.05 |
| Sep 30, 2022 | 0.09 |
| Jun 30, 2022 | 0.11 |
| Mar 31, 2022 | 0.08 |
| Dec 31, 2021 | 0.09 |
| Sep 30, 2021 | 0.05 |
| Jun 30, 2021 | 0.04 |
| Mar 31, 2021 | 0.00 |
| Dec 31, 2020 | 0.02 |
| Sep 30, 2020 | 0.00 |
| Jun 30, 2020 | 0.00 |
| Mar 31, 2020 | 0.06 |
| Dec 31, 2019 | 0.00 |
| Sep 30, 2019 | 0.00 |
| Jun 30, 2019 | 0.02 |
| Mar 31, 2019 | 0.05 |
| Dec 31, 2018 | 0.07 |
API Access
IES Holdings Debt Ratio 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=debt-ratio&ticker=IESC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=IESC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();