Construction Partners (ROAD) Accumulated Expenses (2017 - 2026)
Construction Partners (ROAD) posted Accumulated Expenses of $72.95 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 43.0% from $127.88 million a year earlier but up 9.7% from the prior quarter.
Construction Partners (ROAD) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Construction Partners' Accumulated Expenses came in at $110.16 million, up 161.1% from FY2024.
- Annual Accumulated Expenses has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 37.6% (FY2020 to FY2025).
- In prior fiscal years, Construction Partners' Accumulated Expenses was $42.19 million in FY2024 (+33.8%), $31.53 million in FY2023 (+10.7%), $28.48 million in FY2022 (+7.7%) and $26.46 million in FY2021 (+18.4%).
- Quarterly Accumulated Expenses has run from a low of $13.31 million in fiscal Q1 2022 to a high of $127.88 million in fiscal Q3 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last three quarters, with growth averaging 130.5% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q2 2025, with growth of 401.8%; the weakest was fiscal Q2 2026, with a decline of 46.2%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $66.47 million (Q2 2026), $77.19 million (Q1 2026) and $110.16 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 89.97 Bn | 88.05 Bn | 1.55 Bn |
| 2 | Ferrovial | 35.96 Bn | 14.21 Bn | - |
| 3 | Emcor | 31.03 Bn | 27.43 Bn | 1.02 Bn |
| 4 | Jacobs Solutions | 16.77 Bn | 11.44 Bn | 810.70 Mn |
| 5 | Mastec | 14.08 Bn | 12.87 Bn | 556.28 Mn |
| 6 | Sterling Infrastructure | 12.66 Bn | 10.99 Bn | 289.96 Mn |
| 7 | IES Holdings | 9.42 Bn | 8.28 Bn | 340.66 Mn |
| 8 | Stantec | 8.00 Bn | 6.93 Bn | 1.36 Bn |
| 9 | Aecom | 7.66 Bn | 2.78 Bn | -34.04 Mn |
| 10 | Construction Partners | 4.75 Bn | 4.32 Bn | 168.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 72.95 Mn |
| Mar 31, 2026 | 66.47 Mn |
| Dec 31, 2025 | 77.19 Mn |
| Sep 30, 2025 | 110.16 Mn |
| Jun 30, 2025 | 127.88 Mn |
| Mar 31, 2025 | 123.49 Mn |
| Dec 31, 2024 | 113.18 Mn |
| Sep 30, 2024 | 42.19 Mn |
| Jun 30, 2024 | 42.98 Mn |
| Mar 31, 2024 | 24.61 Mn |
| Dec 31, 2023 | 24.06 Mn |
| Sep 30, 2023 | 31.53 Mn |
| Jun 30, 2023 | 28.94 Mn |
| Mar 31, 2023 | 26.16 Mn |
| Dec 31, 2022 | 19.18 Mn |
| Sep 30, 2022 | 28.48 Mn |
| Jun 30, 2022 | 22.26 Mn |
| Mar 31, 2022 | 16.83 Mn |
| Dec 31, 2021 | 13.31 Mn |
| Sep 30, 2021 | 26.46 Mn |
Construction Partners Accumulated Expenses 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=accumulated-expenses&ticker=ROAD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ROAD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=ROAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();