Urban Outfitters (URBN) Operating Leases (2019 - 2026)
Urban Outfitters' Operating Leases was $990.2 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 3.9% from $953.03 million a year earlier and up 1.1% from the prior quarter.
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Analysis
Urban Outfitters (URBN) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Operating Leases at Urban Outfitters came in at $1 billion, up 14.8% from FY2025.
- Operating Leases shows a five-year compound annual growth rate of -1.4% (FY2021 to FY2026).
- In earlier fiscal years, Operating Leases was $871.21 million in FY2025 (+2.3%), $851.85 million in FY2024 (-3.7%), $884.7 million in FY2023 (-7.0%) and $951.08 million in FY2022 (-11.4%).
- Quarterly Operating Leases has moved between $845.64 million (fiscal Q1 2024) and $1 billion (fiscal Q4 2026) over five years.
- Compared with a year earlier, Operating Leases has increased for eight straight quarters, with growth averaging 7.0% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was fiscal Q4 2026 (growth of 14.8%); the worst was fiscal Q2 2023 (a decline of 15.7%).
- Per Business Quant data, URBN's Operating Leases in the three fiscal quarters before Q2 2027 was $979.6 million (Q1 2027), $1 billion (Q4 2026) and $960.22 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn |
| 10 | Urban Outfitters | 6.48 Bn | 4.04 Bn | 721.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 990.20 Mn |
| Apr 30, 2026 | 979.60 Mn |
| Jan 31, 2026 | 1.00 Bn |
| Oct 31, 2025 | 960.22 Mn |
| Jul 31, 2025 | 953.03 Mn |
| Apr 30, 2025 | 909.17 Mn |
| Jan 31, 2025 | 871.21 Mn |
| Oct 31, 2024 | 879.36 Mn |
| Jul 31, 2024 | 875.17 Mn |
| Apr 30, 2024 | 849.92 Mn |
| Jan 31, 2024 | 851.85 Mn |
| Oct 31, 2023 | 857.79 Mn |
| Jul 31, 2023 | 882.84 Mn |
| Apr 30, 2023 | 845.64 Mn |
| Jan 31, 2023 | 884.70 Mn |
| Oct 31, 2022 | 861.03 Mn |
| Jul 31, 2022 | 868.69 Mn |
| Apr 30, 2022 | 913.38 Mn |
| Jan 31, 2022 | 951.08 Mn |
| Oct 31, 2021 | 986.03 Mn |
API Access
Urban Outfitters Operating Leases 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-leases&ticker=URBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=URBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();