IES Holdings (IESC) Retained Earnings (2010 - 2026)
IES Holdings (IESC) posted Retained Earnings of $1.15 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 64.9% from $700.33 million a year earlier and up 15.3% from the prior quarter.
IES Holdings (IESC) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), IES Holdings' Retained Earnings came in at $800.82 million, up 60.9% from FY2024.
- Annual Retained Earnings has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 49.6% (FY2020 to FY2025).
- In prior fiscal years, IES Holdings' Retained Earnings was $497.76 million in FY2024 (+68.3%), $295.78 million in FY2023 (+45.6%), $203.2 million in FY2022 (+17.4%) and $173.13 million in FY2021 (+61.8%).
- The fiscal Q3 2026 figure stands as the highest quarterly Retained Earnings in data going back to fiscal Q4 2010.
- On a year-over-year basis, Retained Earnings has increased in each of the last 31 quarters, with growth averaging 63.2% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 17.4% (fiscal Q4 2022) and 68.3% (fiscal Q4 2024) over the last five years.
- According to Business Quant data, Retained Earnings for the three prior fiscal quarters was $1 billion (Q2 2026), $891.84 million (Q1 2026) and $800.82 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 101.70 Bn | 99.89 Bn | 1.55 Bn | 7.31 Bn |
| 2 | Ferrovial | 38.65 Bn | 19.25 Bn | - | - |
| 3 | Emcor | 34.80 Bn | 31.19 Bn | 1.02 Bn | 6.68 Bn |
| 4 | Mastec | 17.34 Bn | 16.24 Bn | 556.28 Mn | 2.90 Bn |
| 5 | Sterling Infrastructure | 16.37 Bn | 14.73 Bn | 289.96 Mn | 1.12 Bn |
| 6 | Jacobs Solutions | 16.17 Bn | 10.82 Bn | 810.70 Mn | 946.46 Mn |
| 7 | IES Holdings | 13.52 Bn | 12.39 Bn | 340.66 Mn | 1.15 Bn |
| 8 | Dycom Industries | 8.20 Bn | 7.33 Bn | - | 1.47 Bn |
| 9 | Stantec | 7.70 Bn | 7.70 Bn | - | - |
| 10 | Aecom | 7.68 Bn | 3.00 Bn | -34.04 Mn | -1.60 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.15 Bn |
| Mar 31, 2026 | 1.00 Bn |
| Dec 31, 2025 | 891.84 Mn |
| Sep 30, 2025 | 800.82 Mn |
| Jun 30, 2025 | 700.33 Mn |
| Mar 31, 2025 | 623.66 Mn |
| Dec 31, 2024 | 552.92 Mn |
| Sep 30, 2024 | 497.76 Mn |
| Jun 30, 2024 | 435.69 Mn |
| Mar 31, 2024 | 380.93 Mn |
| Dec 31, 2023 | 333.96 Mn |
| Sep 30, 2023 | 295.78 Mn |
| Jun 30, 2023 | 261.95 Mn |
| Mar 31, 2023 | 245.32 Mn |
| Dec 31, 2022 | 226.54 Mn |
| Sep 30, 2022 | 203.20 Mn |
| Jun 30, 2022 | 188.19 Mn |
| Mar 31, 2022 | 181.26 Mn |
| Dec 31, 2021 | 187.54 Mn |
| Sep 30, 2021 | 173.13 Mn |
IES Holdings Retained Earnings 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=retained-earnings&ticker=IESC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=IESC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();