Construction Partners (ROAD) Operating Expenses (2017 - 2026)
Construction Partners (ROAD) posted Operating Expenses of $64.92 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 22.8% from $52.84 million a year earlier but down 1.8% from the prior quarter.
Construction Partners (ROAD) Operating Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Construction Partners was $265.19 million, up 30.0% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $225.19 million, up 48.6% from FY2024.
- Annual Operating Expenses has increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 26.8% (FY2020 to FY2025).
- In prior fiscal years, Construction Partners' Operating Expenses was $151.5 million in FY2024 (+19.3%), $126.95 million in FY2023 (+18.0%), $107.56 million in FY2022 (+17.1%) and $91.88 million in FY2021 (+33.9%).
- Quarterly Operating Expenses has run from a low of $24.12 million in fiscal Q4 2021 to a high of $73.13 million in fiscal Q1 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last 34 quarters, with growth averaging 36.8% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 2.1% (fiscal Q2 2022) to 77.4% (fiscal Q1 2025).
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $66.08 million (Q2 2026), $73.13 million (Q1 2026) and $61.07 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.81 Bn | 87.89 Bn | 1.55 Bn | 698.49 Mn |
| 2 | Ferrovial | 35.40 Bn | 13.65 Bn | - | - |
| 3 | Emcor | 31.21 Bn | 27.60 Bn | 1.02 Bn | 475.04 Mn |
| 4 | Jacobs Solutions | 16.43 Bn | 11.10 Bn | 810.70 Mn | 524.00 Mn |
| 5 | Mastec | 14.65 Bn | 13.43 Bn | 556.28 Mn | 292.57 Mn |
| 6 | Sterling Infrastructure | 12.67 Bn | 10.99 Bn | 289.96 Mn | 65.66 Mn |
| 7 | IES Holdings | 9.64 Bn | 8.50 Bn | 340.66 Mn | 162.17 Mn |
| 8 | Stantec | 7.86 Bn | 6.79 Bn | 1.36 Bn | 972.05 Mn |
| 9 | Aecom | 7.59 Bn | 2.71 Bn | -34.04 Mn | 46.45 Mn |
| 10 | Construction Partners | 4.72 Bn | 4.29 Bn | 168.39 Mn | 64.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.92 Mn |
| Mar 31, 2026 | 66.08 Mn |
| Dec 31, 2025 | 73.13 Mn |
| Sep 30, 2025 | 61.07 Mn |
| Jun 30, 2025 | 52.84 Mn |
| Mar 31, 2025 | 47.47 Mn |
| Dec 31, 2024 | 63.82 Mn |
| Sep 30, 2024 | 39.84 Mn |
| Jun 30, 2024 | 38.93 Mn |
| Mar 31, 2024 | 36.75 Mn |
| Dec 31, 2023 | 35.98 Mn |
| Sep 30, 2023 | 32.56 Mn |
| Jun 30, 2023 | 32.23 Mn |
| Mar 31, 2023 | 31.99 Mn |
| Dec 31, 2022 | 29.73 Mn |
| Sep 30, 2022 | 31.03 Mn |
| Jun 30, 2022 | 26.58 Mn |
| Mar 31, 2022 | 25.00 Mn |
| Dec 31, 2021 | 24.95 Mn |
| Sep 30, 2021 | 24.12 Mn |
Construction Partners Operating 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=operating-expenses&ticker=ROAD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ROAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();