United Rentals (URI) Property, Plant & Equipment (Net) (2010 - 2026)
United Rentals (URI) reported Property, Plant & Equipment (Net) of $18.48 billion for Q2 2026, up 9.9% from $16.83 billion a year earlier and up 6.9% from the prior quarter.
United Rentals (URI) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, United Rentals posted Property, Plant & Equipment (Net) of $17.2 billion, down 44.3% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $30.9 billion in FY2024 (+6.9%), $28.91 billion in FY2023 (+5.5%), $27.39 billion in FY2022 (+26.0%) and $21.73 billion in FY2021 (+20.6%).
- The Q2 2026 figure ranks as the highest quarterly Property, Plant & Equipment (Net) since Q4 2024.
- Year over year, Property, Plant & Equipment (Net) gained in seven of the last eight quarters, with growth averaging 1.2%.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q2 2023 (growth of 27.9%); the low point was Q4 2025 (a decline of 44.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $17.29 billion (Q1 2026), $17.2 billion (Q4 2025) and $17.48 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 67.37 Bn | 66.13 Bn | 1.73 Bn | 18.48 Bn |
| 2 | W.W. Grainger | 60.32 Bn | 58.30 Bn | 1.98 Bn | 2.40 Bn |
| 3 | Fastenal | 58.24 Bn | 57.16 Bn | 1.06 Bn | 1.16 Bn |
| 4 | Ferguson Enterprises | 43.34 Bn | 40.56 Bn | 2.32 Bn | 1.93 Bn |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn | 13.95 Bn |
| 6 | Reliance | 20.43 Bn | 19.48 Bn | 1.30 Bn | 2.65 Bn |
| 7 | Wesco International | 18.60 Bn | 15.91 Bn | 1.46 Bn | 484.10 Mn |
| 8 | Applied Industrial Technologies | 12.64 Bn | 12.52 Bn | 411.22 Mn | 131.65 Mn |
| 9 | Watsco | 10.59 Bn | 8.75 Bn | 578.93 Mn | 146.89 Mn |
| 10 | Avantor | 10.38 Bn | 9.17 Bn | 537.00 Mn | 772.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.48 Bn |
| Mar 31, 2026 | 17.29 Bn |
| Dec 31, 2025 | 17.20 Bn |
| Sep 30, 2025 | 17.48 Bn |
| Jun 30, 2025 | 16.83 Bn |
| Mar 31, 2025 | 15.93 Bn |
| Dec 31, 2024 | 30.90 Bn |
| Sep 30, 2024 | 16.24 Bn |
| Jun 30, 2024 | 15.64 Bn |
| Mar 31, 2024 | 14.90 Bn |
| Dec 31, 2023 | 28.91 Bn |
| Sep 30, 2023 | 15.20 Bn |
| Jun 30, 2023 | 14.92 Bn |
| Mar 31, 2023 | 14.32 Bn |
| Dec 31, 2022 | 27.39 Bn |
| Sep 30, 2022 | 12.20 Bn |
| Jun 30, 2022 | 11.67 Bn |
| Mar 31, 2022 | 11.23 Bn |
| Dec 31, 2021 | 21.73 Bn |
| Sep 30, 2021 | 11.17 Bn |
United Rentals Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=URI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "URI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=URI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();