Urban Outfitters (URBN) Shares Outstanding (2009 - 2026)
Urban Outfitters (URBN) recorded Shares Outstanding of 85.63 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 4.5% from 89.67 million a year earlier and down 2.1% from the prior quarter.
Urban Outfitters (URBN) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Urban Outfitters reported Shares Outstanding of 90.19 million, down 2.7% from FY2025.
- Annual Shares Outstanding has a five-year compound annual growth rate of -1.6% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding came in at 92.68 million in FY2025 (unchanged), 92.7 million in FY2024 (-0.5%), 93.2 million in FY2023 (-4.9%) and 98.02 million in FY2022 (+0.2%).
- The fiscal Q2 2027 figure is the lowest quarterly Shares Outstanding in data going back to fiscal Q2 2010.
- On a year-over-year basis, Shares Outstanding has declined for six consecutive quarters, with an average decline of 2.5% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding in the last five years was growth of 0.7% in fiscal Q1 2025, against a decline of 6.1% in fiscal Q3 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 87.5 million (Q1 2027), 90.19 million (Q4 2026) and 89.71 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.77 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 994.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 559.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 317.69 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 454.40 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 825.20 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 717.69 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.47 Mn |
| 10 | Urban Outfitters | 6.54 Bn | 4.10 Bn | 721.55 Mn | 85.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 85.63 Mn |
| Apr 30, 2026 | 87.50 Mn |
| Jan 31, 2026 | 90.19 Mn |
| Oct 31, 2025 | 89.71 Mn |
| Jul 31, 2025 | 89.67 Mn |
| Apr 30, 2025 | 91.75 Mn |
| Jan 31, 2025 | 92.68 Mn |
| Oct 31, 2024 | 92.27 Mn |
| Jul 31, 2024 | 93.07 Mn |
| Apr 30, 2024 | 93.12 Mn |
| Jan 31, 2024 | 92.70 Mn |
| Oct 31, 2023 | 92.78 Mn |
| Jul 31, 2023 | 92.74 Mn |
| Apr 30, 2023 | 92.47 Mn |
| Jan 31, 2023 | 93.20 Mn |
| Oct 31, 2022 | 92.17 Mn |
| Jul 31, 2022 | 93.04 Mn |
| Apr 30, 2022 | 95.48 Mn |
| Jan 31, 2022 | 98.02 Mn |
| Oct 31, 2021 | 98.20 Mn |
Urban Outfitters Shares Outstanding 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=shares-outstanding&ticker=URBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=URBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();