United Rentals (URI) EBITDA (2010 - 2026)
United Rentals (URI) posted EBITDA of $1.25 billion for Q2 2026, up 12.9% from $1.11 billion a year earlier but down 24.6% from the prior quarter.
United Rentals (URI) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at United Rentals was $6 billion, up 4.4% year-over-year; for FY2025, it came in at $7.08 billion, up 1.6% from FY2024.
- Annual EBITDA has increased for five consecutive years, with a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- In prior years, United Rentals' EBITDA was $6.97 billion in FY2024 (+5.4%), $6.61 billion in FY2023 (+21.3%), $5.45 billion in FY2022 (+27.9%) and $4.26 billion in FY2021 (+12.5%).
- Quarterly EBITDA has run from a low of $1.1 billion in Q1 2022 to a high of $1.86 billion in Q4 2025 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last three quarters, with an average decline of 0.7% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2022, with growth of 32.1%; the weakest was Q3 2024, with a decline of 31.4%.
- According to Business Quant data, EBITDA for the three prior quarters was $1.66 billion (Q1 2026), $1.86 billion (Q4 2025) and $1.22 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 65.27 Bn | 64.03 Bn | 1.73 Bn | 1.26 Bn |
| 2 | W.W. Grainger | 62.72 Bn | 60.31 Bn | 1.98 Bn | 873.00 Mn |
| 3 | Fastenal | 59.35 Bn | 58.27 Bn | 1.06 Bn | 547.30 Mn |
| 4 | Ferguson Enterprises | 43.78 Bn | 41.00 Bn | 2.32 Bn | 709.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.64 Bn | 31.52 Bn | 1.25 Bn | 1.28 Bn |
| 6 | Reliance | 21.28 Bn | 20.32 Bn | 1.30 Bn | 511.10 Mn |
| 7 | Wesco International | 16.67 Bn | 13.99 Bn | 1.46 Bn | 444.90 Mn |
| 8 | Applied Industrial Technologies | 12.34 Bn | 12.21 Bn | 411.22 Mn | 175.57 Mn |
| 9 | Watsco | 11.50 Bn | 9.18 Bn | 578.93 Mn | 249.30 Mn |
| 10 | Avantor | 11.20 Bn | 10.00 Bn | 537.00 Mn | 229.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.26 Bn |
| Mar 31, 2026 | 1.67 Bn |
| Dec 31, 2025 | 1.86 Bn |
| Sep 30, 2025 | 1.23 Bn |
| Jun 30, 2025 | 1.12 Bn |
| Mar 31, 2025 | 1.56 Bn |
| Dec 31, 2024 | 1.85 Bn |
| Sep 30, 2024 | 1.24 Bn |
| Jun 30, 2024 | 1.12 Bn |
| Mar 31, 2024 | 1.54 Bn |
| Dec 31, 2023 | 1.76 Bn |
| Sep 30, 2023 | 1.80 Bn |
| Jun 30, 2023 | 1.62 Bn |
| Mar 31, 2023 | 1.44 Bn |
| Dec 31, 2022 | 1.61 Bn |
| Sep 30, 2022 | 1.48 Bn |
| Jun 30, 2022 | 1.27 Bn |
| Mar 31, 2022 | 1.11 Bn |
| Dec 31, 2021 | 1.28 Bn |
| Sep 30, 2021 | 1.19 Bn |
United Rentals EBITDA 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=ebitda&ticker=URI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=URI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();