Urban Outfitters (URBN) Enterprise Value (2009 - 2026)
Urban Outfitters (URBN) recorded Enterprise Value of $5.64 billion in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 8.0% from $6.13 billion a year earlier but up 0.5% from the prior quarter.
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Analysis
Urban Outfitters (URBN) Enterprise Value (2009 - 2026) Analysis & Trends
On a TTM basis, Urban Outfitters' Enterprise Value came in at $3.92 billion as of Jul 31, 2026, down 13.4% year-over-year; for FY2026 (ended Jan 31, 2026), it was $5.66 billion, up 25.7% from FY2025.
- Annual Enterprise Value has increased for three straight fiscal years, with a five-year compound annual growth rate of 21.8% (FY2021 to FY2026).
- Across earlier fiscal years, Enterprise Value came in at $4.5 billion in FY2025 (+47.1%), $3.06 billion in FY2024 (+42.9%), $2.14 billion in FY2023 (-7.8%) and $2.32 billion in FY2022 (+10.0%).
- Quarterly Enterprise Value has ranged from $1.64 billion in fiscal Q2 2023 to $6.13 billion in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Enterprise Value rose in seven of the last eight quarters, with growth averaging 35.6%.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 85.5% in fiscal Q3 2026, against a decline of 46.1% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $5.61 billion (Q1 2027), $5.66 billion (Q4 2026) and $5.18 billion (Q3 2026).
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 |
|---|---|
| Jul 31, 2026 | 5.64 Bn |
| Apr 30, 2026 | 5.61 Bn |
| Jan 31, 2026 | 5.66 Bn |
| Oct 31, 2025 | 5.18 Bn |
| Jul 31, 2025 | 6.13 Bn |
| Apr 30, 2025 | 4.25 Bn |
| Jan 31, 2025 | 4.50 Bn |
| Oct 31, 2024 | 2.79 Bn |
| Jul 31, 2024 | 3.69 Bn |
| Apr 30, 2024 | 3.15 Bn |
| Jan 31, 2024 | 3.06 Bn |
| Oct 31, 2023 | 2.76 Bn |
| Jul 31, 2023 | 2.90 Bn |
| Apr 30, 2023 | 2.13 Bn |
| Jan 31, 2023 | 2.14 Bn |
| Oct 31, 2022 | 1.96 Bn |
| Jul 31, 2022 | 1.64 Bn |
| Apr 30, 2022 | 1.99 Bn |
| Jan 31, 2022 | 2.32 Bn |
| Oct 31, 2021 | 2.70 Bn |
API Access
Urban Outfitters Enterprise Value 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=enterprise-value&ticker=URBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=URBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();