Construction Partners (ROAD) Enterprise Value (2018 - 2026)
Construction Partners' Enterprise Value was $5.6 billion in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 13.6% from $4.93 billion a year earlier and up 6.6% from the prior quarter.
Construction Partners (ROAD) Enterprise Value (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Construction Partners' Enterprise Value was $5.26 billion through Jun 30, 2026, up 13.9% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $5.86 billion, up 62.8% from FY2024.
- Enterprise Value has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 49.4% (FY2020 to FY2025).
- In earlier fiscal years, Enterprise Value was $3.6 billion in FY2024 (+91.7%), $1.88 billion in FY2023 (+42.1%), $1.32 billion in FY2022 (-20.6%) and $1.67 billion in FY2021 (+111.2%).
- Quarterly Enterprise Value has moved between $1.06 billion (fiscal Q3 2022) and $5.86 billion (fiscal Q4 2025) over five years.
- Compared with a year earlier, Enterprise Value has increased for 14 straight quarters, with growth averaging 52.5% over the last eight quarters.
- The best year-over-year quarter for Enterprise Value over five years was fiscal Q2 2024 (growth of 113.7%); the worst was fiscal Q3 2022 (a decline of 28.9%).
- Per Business Quant data, ROAD's Enterprise Value in the three fiscal quarters before Q3 2026 was $5.25 billion (Q2 2026), $5.1 billion (Q1 2026) and $5.86 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 89.81 Bn | 87.89 Bn | 1.55 Bn |
| 2 | Ferrovial | 35.40 Bn | 13.65 Bn | - |
| 3 | Emcor | 31.21 Bn | 27.60 Bn | 1.02 Bn |
| 4 | Jacobs Solutions | 16.43 Bn | 11.10 Bn | 810.70 Mn |
| 5 | Mastec | 14.65 Bn | 13.43 Bn | 556.28 Mn |
| 6 | Sterling Infrastructure | 12.67 Bn | 10.99 Bn | 289.96 Mn |
| 7 | IES Holdings | 9.64 Bn | 8.50 Bn | 340.66 Mn |
| 8 | Stantec | 7.86 Bn | 6.79 Bn | 1.36 Bn |
| 9 | Aecom | 7.59 Bn | 2.71 Bn | -34.04 Mn |
| 10 | Construction Partners | 4.72 Bn | 4.29 Bn | 168.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.60 Bn |
| Mar 31, 2026 | 5.25 Bn |
| Dec 31, 2025 | 5.10 Bn |
| Sep 30, 2025 | 5.86 Bn |
| Jun 30, 2025 | 4.93 Bn |
| Mar 31, 2025 | 3.29 Bn |
| Dec 31, 2024 | 4.04 Bn |
| Sep 30, 2024 | 3.60 Bn |
| Jun 30, 2024 | 2.86 Bn |
| Mar 31, 2024 | 2.92 Bn |
| Dec 31, 2023 | 2.23 Bn |
| Sep 30, 2023 | 1.88 Bn |
| Jun 30, 2023 | 1.60 Bn |
| Mar 31, 2023 | 1.37 Bn |
| Dec 31, 2022 | 1.34 Bn |
| Sep 30, 2022 | 1.32 Bn |
| Jun 30, 2022 | 1.06 Bn |
| Mar 31, 2022 | 1.33 Bn |
| Dec 31, 2021 | 1.48 Bn |
| Sep 30, 2021 | 1.67 Bn |
Construction Partners Enterprise Value 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=enterprise-value&ticker=ROAD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=ROAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();