United Rentals (URI) Operating Expenses (2010 - 2026)
United Rentals (URI) recorded Operating Expenses of $1.18 billion in Q2 2026, up 10.2% from $1.07 billion a year earlier and up 1.3% from the prior quarter.
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Analysis
United Rentals (URI) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, United Rentals' Operating Expenses came in at $4.6 billion as of Jun 30, 2026, up 7.6% year-over-year; for FY2025, it was $4.4 billion, up 7.0% from FY2024.
- Annual Operating Expenses has increased for five straight years, with a five-year compound annual growth rate of 34.6% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $4.11 billion in FY2024 (+5.4%), $3.91 billion in FY2023 (+20.0%), $3.25 billion in FY2022 (+170.6%) and $1.2 billion in FY2021 (+20.7%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Operating Expenses has increased for 21 consecutive quarters, with growth averaging 49.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 4.2% (Q4 2025) to 176.0% (Q3 2024).
- Per Business Quant, the preceding three quarters came in at $1.17 billion (Q1 2026), $1.13 billion (Q4 2025) and $1.13 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 65.51 Bn | 64.27 Bn | 1.73 Bn | 1.18 Bn |
| 2 | W.W. Grainger | 62.97 Bn | 60.57 Bn | 1.98 Bn | 1.18 Bn |
| 3 | Fastenal | 59.30 Bn | 58.22 Bn | 1.06 Bn | 561.80 Mn |
| 4 | Ferguson Enterprises | 44.25 Bn | 41.47 Bn | 2.32 Bn | 1.61 Bn |
| 5 | Sunbelt Rentals Holdings | 31.57 Bn | 31.45 Bn | 1.25 Bn | 989.00 Mn |
| 6 | Reliance | 21.29 Bn | 20.32 Bn | 1.30 Bn | 4.19 Bn |
| 7 | Wesco International | 16.76 Bn | 14.07 Bn | 1.46 Bn | 1.02 Bn |
| 8 | Applied Industrial Technologies | 12.41 Bn | 12.28 Bn | 411.22 Mn | 251.91 Mn |
| 9 | Watsco | 11.52 Bn | 9.21 Bn | 578.93 Mn | 348.99 Mn |
| 10 | Avantor | 11.30 Bn | 10.09 Bn | 537.00 Mn | 415.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.18 Bn |
| Mar 31, 2026 | 1.17 Bn |
| Dec 31, 2025 | 1.13 Bn |
| Sep 30, 2025 | 1.13 Bn |
| Jun 30, 2025 | 1.07 Bn |
| Mar 31, 2025 | 1.08 Bn |
| Dec 31, 2024 | 1.08 Bn |
| Sep 30, 2024 | 1.05 Bn |
| Jun 30, 2024 | 1.01 Bn |
| Mar 31, 2024 | 972.00 Mn |
| Dec 31, 2023 | 397.00 Mn |
| Sep 30, 2023 | 379.00 Mn |
| Jun 30, 2023 | 396.00 Mn |
| Mar 31, 2023 | 383.00 Mn |
| Dec 31, 2022 | 378.00 Mn |
| Sep 30, 2022 | 355.00 Mn |
| Jun 30, 2022 | 344.00 Mn |
| Mar 31, 2022 | 323.00 Mn |
| Dec 31, 2021 | 322.00 Mn |
| Sep 30, 2021 | 326.00 Mn |
API Access
United Rentals 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=URI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=URI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();