Construction Partners (ROAD) Inventory (2017 - 2026)
Construction Partners (ROAD) posted Inventory of $185.27 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 24.7% from $148.54 million a year earlier and up 4.8% from the prior quarter.
Construction Partners (ROAD) Inventory (2017 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Construction Partners' Inventory came in at $155.13 million, up 45.4% from FY2024.
- Annual Inventory has increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 32.1% (FY2020 to FY2025).
- In prior fiscal years, Construction Partners' Inventory was $106.7 million in FY2024 (+27.0%), $84.04 million in FY2023 (+13.3%), $74.2 million in FY2022 (+37.9%) and $53.79 million in FY2021 (+39.5%).
- The fiscal Q3 2026 figure stands as the highest quarterly Inventory in data going back to fiscal Q4 2017.
- On a year-over-year basis, Inventory has increased in each of the last 30 quarters, with growth averaging 33.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Inventory ran from 13.3% in fiscal Q4 2023 to 52.2% in fiscal Q3 2022.
- According to Business Quant data, Inventory for the three prior fiscal quarters was $176.8 million (Q2 2026), $170.02 million (Q1 2026) and $155.13 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 88.95 Bn | 87.03 Bn | 1.55 Bn | 469.87 Mn |
| 2 | Ferrovial | 35.34 Bn | 13.59 Bn | - | 634.35 Mn |
| 3 | Emcor | 30.93 Bn | 27.32 Bn | 1.02 Bn | - |
| 4 | Jacobs Solutions | 16.26 Bn | 10.93 Bn | 810.70 Mn | - |
| 5 | Mastec | 14.56 Bn | 13.34 Bn | 556.28 Mn | 113.60 Mn |
| 6 | Sterling Infrastructure | 12.60 Bn | 10.93 Bn | 289.96 Mn | - |
| 7 | IES Holdings | 9.62 Bn | 8.48 Bn | 340.66 Mn | 133.60 Mn |
| 8 | Stantec | 7.87 Bn | 6.80 Bn | 1.36 Bn | - |
| 9 | Aecom | 7.54 Bn | 2.66 Bn | -34.04 Mn | - |
| 10 | Construction Partners | 4.66 Bn | 4.23 Bn | 168.39 Mn | 185.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 185.27 Mn |
| Mar 31, 2026 | 176.80 Mn |
| Dec 31, 2025 | 170.02 Mn |
| Sep 30, 2025 | 155.13 Mn |
| Jun 30, 2025 | 148.54 Mn |
| Mar 31, 2025 | 146.90 Mn |
| Dec 31, 2024 | 145.21 Mn |
| Sep 30, 2024 | 106.70 Mn |
| Jun 30, 2024 | 104.55 Mn |
| Mar 31, 2024 | 102.75 Mn |
| Dec 31, 2023 | 96.66 Mn |
| Sep 30, 2023 | 84.04 Mn |
| Jun 30, 2023 | 88.23 Mn |
| Mar 31, 2023 | 86.20 Mn |
| Dec 31, 2022 | 79.56 Mn |
| Sep 30, 2022 | 74.20 Mn |
| Jun 30, 2022 | 77.38 Mn |
| Mar 31, 2022 | 69.50 Mn |
| Dec 31, 2021 | 57.71 Mn |
| Sep 30, 2021 | 53.79 Mn |
Construction Partners Inventory 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=inventory&ticker=ROAD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=ROAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();