IES Holdings (IESC) Receivables (2010 - 2026)
IES Holdings' Receivables came in at $753.73 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 37.2% from $549.18 million a year earlier and up 11.0% from the prior quarter.
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Analysis
IES Holdings (IESC) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), IES Holdings' Receivables was $568.62 million, up 17.6% from FY2024.
- Receivables carries a five-year compound annual growth rate of 17.5% (FY2020 to FY2025).
- Going back by fiscal year, Receivables was $483.49 million in FY2024 (+31.3%), $368.36 million in FY2023 (-5.6%), $390.02 million in FY2022 (+27.0%) and $307.15 million in FY2021 (+21.0%).
- The fiscal Q3 2026 figure represents the highest quarterly Receivables in data going back to fiscal Q4 2010.
- Year-over-year, Receivables has increased for 11 consecutive quarters, with growth averaging 23.9% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in fiscal Q3 2022 (growth of 38.2%), and the weakest in fiscal Q4 2023 (a decline of 5.6%).
- Business Quant data shows IESC's Receivables at $678.92 million (Q2 2026), $545.03 million (Q1 2026) and $568.62 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 82.18 Bn | 80.26 Bn | 1.55 Bn | 10.07 Bn |
| 2 | Ferrovial | 35.58 Bn | 13.83 Bn | - | 3.21 Bn |
| 3 | Emcor | 28.91 Bn | 25.31 Bn | 1.02 Bn | 5.50 Bn |
| 4 | Jacobs Solutions | 17.07 Bn | 11.74 Bn | 810.70 Mn | 5.10 Bn |
| 5 | Mastec | 13.28 Bn | 12.06 Bn | 556.28 Mn | 4.23 Bn |
| 6 | Sterling Infrastructure | 11.02 Bn | 9.35 Bn | 289.96 Mn | - |
| 7 | IES Holdings | 8.74 Bn | 7.60 Bn | 340.66 Mn | 753.73 Mn |
| 8 | Stantec | 8.11 Bn | 7.04 Bn | 1.36 Bn | 1.11 Bn |
| 9 | Aecom | 7.67 Bn | 2.79 Bn | -34.04 Mn | 4.50 Bn |
| 10 | Dycom Industries | 6.50 Bn | 5.64 Bn | - | 1.71 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 753.73 Mn |
| Mar 31, 2026 | 678.92 Mn |
| Dec 31, 2025 | 545.03 Mn |
| Sep 30, 2025 | 568.62 Mn |
| Jun 30, 2025 | 549.18 Mn |
| Mar 31, 2025 | 534.43 Mn |
| Dec 31, 2024 | 473.47 Mn |
| Sep 30, 2024 | 483.49 Mn |
| Jun 30, 2024 | 471.24 Mn |
| Mar 31, 2024 | 424.04 Mn |
| Dec 31, 2023 | 393.90 Mn |
| Sep 30, 2023 | 368.36 Mn |
| Jun 30, 2023 | 350.52 Mn |
| Mar 31, 2023 | 342.25 Mn |
| Dec 31, 2022 | 363.35 Mn |
| Sep 30, 2022 | 390.02 Mn |
| Jun 30, 2022 | 362.52 Mn |
| Mar 31, 2022 | 331.27 Mn |
| Dec 31, 2021 | 315.56 Mn |
| Sep 30, 2021 | 307.15 Mn |
API Access
IES Holdings Receivables 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=receivables&ticker=IESC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=IESC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();