Urban Outfitters (URBN) Shares Outstanding (Entity) (2009 - 2026)
Urban Outfitters' Shares Outstanding (Entity) was 85.65 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 4.5% from 89.7 million a year earlier but up 0.1% from the prior quarter.
Urban Outfitters (URBN) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Shares Outstanding (Entity) at Urban Outfitters came in at 89.7 million, down 2.8% from FY2025.
- Shares Outstanding (Entity) shows a five-year compound annual growth rate of -1.7% (FY2021 to FY2026).
- In earlier fiscal years, Shares Outstanding (Entity) was 92.28 million in FY2025 (-0.5%), 92.79 million in FY2024 (+0.7%), 92.18 million in FY2023 (-4.4%) and 96.43 million in FY2022 (-1.4%).
- Quarterly Shares Outstanding (Entity) has moved between 85.6 million (fiscal Q1 2027) and 97.86 million (fiscal Q3 2022) over five years.
- Compared with a year earlier, Shares Outstanding (Entity) has declined for nine straight quarters, with an average decline of 2.8% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Entity) over five years was fiscal Q1 2025 (growth of 0.8%); the worst was fiscal Q2 2023 (a decline of 6.3%).
- Per Business Quant data, URBN's Shares Outstanding (Entity) in the three fiscal quarters before Q2 2027 was 85.6 million (Q1 2027), 89.7 million (Q4 2026) and 89.71 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.78 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 998.00 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 | 561.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 319.67 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 454.29 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 816.17 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 1.10 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.33 Mn |
| 10 | Urban Outfitters | 6.54 Bn | 4.10 Bn | 721.55 Mn | 85.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 85.65 Mn |
| Apr 30, 2026 | 85.60 Mn |
| Jan 31, 2026 | 89.70 Mn |
| Oct 31, 2025 | 89.71 Mn |
| Jul 31, 2025 | 89.70 Mn |
| Apr 30, 2025 | 89.61 Mn |
| Jan 31, 2025 | 92.28 Mn |
| Oct 31, 2024 | 92.28 Mn |
| Jul 31, 2024 | 92.26 Mn |
| Apr 30, 2024 | 93.38 Mn |
| Jan 31, 2024 | 92.79 Mn |
| Oct 31, 2023 | 92.78 Mn |
| Jul 31, 2023 | 92.77 Mn |
| Apr 30, 2023 | 92.68 Mn |
| Jan 31, 2023 | 92.18 Mn |
| Oct 31, 2022 | 92.17 Mn |
| Jul 31, 2022 | 92.17 Mn |
| Apr 30, 2022 | 94.43 Mn |
| Jan 31, 2022 | 96.43 Mn |
| Oct 31, 2021 | 97.86 Mn |
Urban Outfitters Shares Outstanding (Entity) 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-entity&ticker=URBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=URBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();