Urban Outfitters (URBN) Operating Expenses (2009 - 2026)
Urban Outfitters' Operating Expenses came in at $432.81 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 10.5% from $391.77 million a year earlier and up 7.4% from the prior quarter.
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Analysis
Urban Outfitters (URBN) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Urban Outfitters reported Operating Expenses of $1.7 billion, up 11.3% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $1.61 billion, up 11.0% from FY2025.
- Operating Expenses has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 13.4% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $1.45 billion in FY2025 (+8.5%), $1.34 billion in FY2024 (+11.5%), $1.2 billion in FY2023 (+10.6%) and $1.09 billion in FY2022 (+26.5%).
- The five-year range for quarterly Operating Expenses is $274.84 million (fiscal Q3 2022) to $440.5 million (fiscal Q4 2026).
- Year-over-year, Operating Expenses has increased for 22 consecutive quarters, with growth averaging 10.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 6.7% (fiscal Q4 2023) to 23.5% (fiscal Q4 2022).
- Business Quant data shows URBN's Operating Expenses at $402.89 million (Q1 2027), $440.5 million (Q4 2026) and $419.01 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Urban Outfitters | 6.48 Bn | 4.04 Bn | 721.55 Mn | 432.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 432.81 Mn |
| Apr 30, 2026 | 402.89 Mn |
| Jan 31, 2026 | 440.50 Mn |
| Oct 31, 2025 | 419.01 Mn |
| Jul 31, 2025 | 391.77 Mn |
| Apr 30, 2025 | 360.84 Mn |
| Jan 31, 2025 | 402.37 Mn |
| Oct 31, 2024 | 368.63 Mn |
| Jul 31, 2024 | 348.15 Mn |
| Apr 30, 2024 | 333.76 Mn |
| Jan 31, 2024 | 370.45 Mn |
| Oct 31, 2023 | 345.43 Mn |
| Jul 31, 2023 | 323.48 Mn |
| Apr 30, 2023 | 299.85 Mn |
| Jan 31, 2023 | 335.07 Mn |
| Oct 31, 2022 | 299.73 Mn |
| Jul 31, 2022 | 288.73 Mn |
| Apr 30, 2022 | 277.06 Mn |
| Jan 31, 2022 | 313.99 Mn |
| Oct 31, 2021 | 274.84 Mn |
API Access
Urban Outfitters 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=URBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "URBN", "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=URBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();