Urban Outfitters (URBN) Receivables (2009 - 2026)
Urban Outfitters (URBN) posted Receivables of $102.96 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 18.4% from $86.92 million a year earlier but down 11.2% from the prior quarter.
Urban Outfitters (URBN) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Urban Outfitters' Receivables came in at $95.67 million, up 29.3% from FY2025.
- Annual Receivables shows a five-year compound annual growth rate of 1.2% (FY2021 to FY2026).
- In prior fiscal years, Urban Outfitters' Receivables was $74.01 million in FY2025 (+10.5%), $67.01 million in FY2024 (-4.7%), $70.34 million in FY2023 (+10.3%) and $63.76 million in FY2022 (-29.1%).
- Quarterly Receivables has run from a low of $63.76 million in fiscal Q4 2022 to a high of $115.9 million in fiscal Q1 2027 over five years.
- On a year-over-year basis, Receivables has increased in each of the last three quarters, with growth averaging 15.3% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q3 2022, with growth of 31.0%; the weakest was fiscal Q4 2022, with a decline of 29.1%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $115.9 million (Q1 2027), $95.67 million (Q4 2026) and $95.99 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 88.09 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 6.96 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 665.00 Mn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 1.24 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 248.14 Mn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 628.51 Mn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 377.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 764.92 Mn |
| 10 | Urban Outfitters | 6.48 Bn | 4.04 Bn | 721.55 Mn | 102.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 102.96 Mn |
| Apr 30, 2026 | 115.90 Mn |
| Jan 31, 2026 | 95.67 Mn |
| Oct 31, 2025 | 95.99 Mn |
| Jul 31, 2025 | 86.92 Mn |
| Apr 30, 2025 | 93.25 Mn |
| Jan 31, 2025 | 74.01 Mn |
| Oct 31, 2024 | 96.98 Mn |
| Jul 31, 2024 | 78.75 Mn |
| Apr 30, 2024 | 88.30 Mn |
| Jan 31, 2024 | 67.01 Mn |
| Oct 31, 2023 | 77.40 Mn |
| Jul 31, 2023 | 79.12 Mn |
| Apr 30, 2023 | 105.59 Mn |
| Jan 31, 2023 | 70.34 Mn |
| Oct 31, 2022 | 81.42 Mn |
| Jul 31, 2022 | 97.37 Mn |
| Apr 30, 2022 | 97.06 Mn |
| Jan 31, 2022 | 63.76 Mn |
| Oct 31, 2021 | 114.21 Mn |
Urban Outfitters Receivables 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=receivables&ticker=URBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=URBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();