Urban Outfitters (URBN) Revenue (2009 - 2026)
Urban Outfitters' Revenue came in at $1.66 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 10.4% from $1.5 billion a year earlier and up 12.2% from the prior quarter.
Urban Outfitters (URBN) Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Urban Outfitters reported Revenue of $6.47 billion, up 11.0% year-over-year; for FY2026 (ended Jan 31, 2026), it was $6.17 billion, up 11.1% from FY2025.
- Revenue has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 12.3% (FY2021 to FY2026).
- Going back by fiscal year, Revenue was $5.55 billion in FY2025 (+7.7%), $5.15 billion in FY2024 (+7.5%), $4.8 billion in FY2023 (+5.4%) and $4.55 billion in FY2022 (+31.9%).
- The five-year range for quarterly Revenue is $1.05 billion (fiscal Q1 2023) to $1.8 billion (fiscal Q4 2026).
- Year-over-year, Revenue has increased for 22 consecutive quarters, with growth averaging 10.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Revenue ranged from 2.2% (fiscal Q2 2023) to 22.4% (fiscal Q4 2022).
- Business Quant data shows URBN's Revenue at $1.48 billion (Q1 2027), $1.8 billion (Q4 2026) and $1.53 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 200.61 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 47.86 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 15.18 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 25.96 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 6.26 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 26.54 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 4.89 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 7.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 4.84 Bn |
| 10 | Urban Outfitters | 6.54 Bn | 4.10 Bn | 721.55 Mn | 1.66 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.66 Bn |
| Apr 30, 2026 | 1.48 Bn |
| Jan 31, 2026 | 1.80 Bn |
| Oct 31, 2025 | 1.53 Bn |
| Jul 31, 2025 | 1.50 Bn |
| Apr 30, 2025 | 1.33 Bn |
| Jan 31, 2025 | 1.64 Bn |
| Oct 31, 2024 | 1.36 Bn |
| Jul 31, 2024 | 1.35 Bn |
| Apr 30, 2024 | 1.20 Bn |
| Jan 31, 2024 | 1.49 Bn |
| Oct 31, 2023 | 1.28 Bn |
| Jul 31, 2023 | 1.27 Bn |
| Apr 30, 2023 | 1.11 Bn |
| Jan 31, 2023 | 1.38 Bn |
| Oct 31, 2022 | 1.18 Bn |
| Jul 31, 2022 | 1.18 Bn |
| Apr 30, 2022 | 1.05 Bn |
| Jan 31, 2022 | 1.33 Bn |
| Oct 31, 2021 | 1.13 Bn |
Urban Outfitters Revenue 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=revenue&ticker=URBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=URBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();