Urban Outfitters (URBN) Buildings (2011 - 2026)
Urban Outfitters (URBN) posted Buildings of $676.1 million for fiscal Q4 2026 (quarter ended Jan 31, 2026), up 3.8% from $651.1 million a year earlier.
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Analysis
Urban Outfitters (URBN) Buildings (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Urban Outfitters has reported Buildings for 16 quarters.
- Annual Buildings has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 10.4% (FY2021 to FY2026).
- In prior fiscal years, Urban Outfitters' Buildings was $651.1 million in FY2025 (+2.7%), $633.85 million in FY2024 (+35.5%), $467.7 million in FY2023 (-0.3%) and $469.19 million in FY2022 (+13.6%).
- The fiscal Q4 2026 figure stands as the highest quarterly Buildings in data going back to fiscal Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,807.22 Bn | 2,303.89 Bn | 107.37 Bn |
| 2 | Home Depot | 347.46 Bn | 340.70 Bn | 16.12 Bn |
| 3 | Tjx Companies | 153.51 Bn | 131.06 Bn | 5.07 Bn |
| 4 | Lowes Companies | 127.28 Bn | 120.25 Bn | 8.58 Bn |
| 5 | O Reilly Automotive | 75.34 Bn | 74.43 Bn | 2.52 Bn |
| 6 | Ross Stores | 74.38 Bn | 57.31 Bn | 2.12 Bn |
| 7 | Target | 71.81 Bn | 66.40 Bn | 8.94 Bn |
| 8 | Autozone | 54.47 Bn | 53.32 Bn | 3.52 Bn |
| 9 | Carvana | 52.23 Bn | 41.81 Bn | 1.52 Bn |
| 10 | Urban Outfitters | 7.51 Bn | 5.07 Bn | 721.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 676.10 Mn |
| Jan 31, 2025 | 651.10 Mn |
| Jan 31, 2024 | 633.85 Mn |
| Jan 31, 2023 | 467.70 Mn |
| Jan 31, 2022 | 469.19 Mn |
| Jan 31, 2021 | 413.00 Mn |
| Jan 31, 2020 | 411.08 Mn |
| Jan 31, 2019 | 347.47 Mn |
| Jan 31, 2018 | 305.88 Mn |
| Jan 31, 2017 | 300.13 Mn |
| Jan 31, 2016 | 294.67 Mn |
| Jan 31, 2015 | 239.12 Mn |
| Jan 31, 2014 | 185.61 Mn |
| Jan 31, 2013 | 131.15 Mn |
| Jan 31, 2012 | 118.05 Mn |
| Jan 31, 2011 | 117.98 Mn |
API Access
Urban Outfitters Buildings 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=buildings&ticker=URBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=URBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();