IES Holdings (IESC) Treasury Shares (2010 - 2026)
IES Holdings (IESC) posted Treasury Shares of $140.03 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 9.7% from $127.7 million a year earlier and up 0.1% from the prior quarter.
IES Holdings (IESC) Treasury Shares (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), IES Holdings' Treasury Shares came in at $127.75 million, up 41.4% from FY2024.
- Annual Treasury Shares has increased for 12 consecutive fiscal years, with a five-year compound annual growth rate of 39.1% (FY2020 to FY2025).
- In prior fiscal years, IES Holdings' Treasury Shares was $90.33 million in FY2024 (+82.7%), $49.45 million in FY2023 (+12.4%), $44 million in FY2022 (+50.2%) and $29.3 million in FY2021 (+19.6%).
- The fiscal Q3 2026 figure stands as the highest quarterly Treasury Shares in data going back to fiscal Q4 2010.
- On a year-over-year basis, Treasury Shares has increased in each of the last ten quarters, with growth averaging 63.9% over the last eight quarters.
- The strongest year-over-year quarter for Treasury Shares in the past five years was fiscal Q2 2025, with growth of 142.7%; the weakest was fiscal Q1 2024, with a decline of 0.3%.
- According to Business Quant data, Treasury Shares for the three prior fiscal quarters was $139.93 million (Q2 2026), $138.4 million (Q1 2026) and $127.75 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Treasury Shares (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 82.37 Bn | 80.45 Bn | 1.55 Bn | 30.23 Mn |
| 2 | Ferrovial | 35.66 Bn | 13.90 Bn | - | - |
| 3 | Emcor | 28.79 Bn | 25.18 Bn | 1.02 Bn | 17.06 Mn |
| 4 | Jacobs Solutions | 17.11 Bn | 11.77 Bn | 810.70 Mn | - |
| 5 | Mastec | 13.35 Bn | 12.13 Bn | 556.28 Mn | 20.35 Mn |
| 6 | Sterling Infrastructure | 10.94 Bn | 9.27 Bn | 289.96 Mn | 795,000.00 |
| 7 | IES Holdings | 8.50 Bn | 7.36 Bn | 340.66 Mn | 2.13 Mn |
| 8 | Stantec | 8.11 Bn | 7.03 Bn | 1.36 Bn | - |
| 9 | Aecom | 7.78 Bn | 2.90 Bn | -34.04 Mn | - |
| 10 | Dycom Industries | 6.52 Bn | 5.65 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.13 Mn |
| Mar 31, 2026 | 2.13 Mn |
| Dec 31, 2025 | 2.12 Mn |
| Sep 30, 2025 | 2.20 Mn |
| Jun 30, 2025 | 2.20 Mn |
| Mar 31, 2025 | 2.16 Mn |
| Dec 31, 2024 | 2.04 Mn |
| Sep 30, 2024 | 2.08 Mn |
| Jun 30, 2024 | 1.96 Mn |
| Mar 31, 2024 | 1.81 Mn |
| Dec 31, 2023 | 1.84 Mn |
| Sep 30, 2023 | 1.86 Mn |
| Jun 30, 2023 | 1.86 Mn |
| Mar 31, 2023 | 1.88 Mn |
| Dec 31, 2022 | 1.88 Mn |
| Sep 30, 2022 | 1.71 Mn |
| Jun 30, 2022 | 1.44 Mn |
| Mar 31, 2022 | 1.26 Mn |
| Dec 31, 2021 | 1.26 Mn |
| Sep 30, 2021 | 1.32 Mn |
IES Holdings Treasury Shares 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=treasury-shares&ticker=IESC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "treasury-shares", "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=treasury-shares&ticker=IESC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();