Urban Outfitters (URBN) Inventory (2009 - 2026)
Urban Outfitters (URBN) posted Inventory of $778.54 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 11.8% from $696.2 million a year earlier and up 7.1% from the prior quarter.
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Analysis
Urban Outfitters (URBN) Inventory (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Urban Outfitters' Inventory came in at $700.95 million, up 12.8% from FY2025.
- Annual Inventory shows a five-year compound annual growth rate of 12.5% (FY2021 to FY2026).
- In prior fiscal years, Urban Outfitters' Inventory was $621.15 million in FY2025 (+12.9%), $550.24 million in FY2024 (-6.3%), $587.51 million in FY2023 (+3.1%) and $569.7 million in FY2022 (+46.2%).
- Quarterly Inventory has run from a low of $550.24 million in fiscal Q4 2024 to a high of $839.79 million in fiscal Q3 2026 over five years.
- On a year-over-year basis, Inventory has increased in each of the last nine quarters, with growth averaging 11.6% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was fiscal Q4 2022, with growth of 46.2%; the weakest was fiscal Q2 2024, with a decline of 15.9%.
- According to Business Quant data, Inventory for the three prior fiscal quarters was $726.86 million (Q1 2027), $700.95 million (Q4 2026) and $839.79 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 3.09 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 13.25 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 5.97 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 3.26 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | - |
| 10 | Urban Outfitters | 6.48 Bn | 4.04 Bn | 721.55 Mn | 778.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 778.54 Mn |
| Apr 30, 2026 | 726.86 Mn |
| Jan 31, 2026 | 700.95 Mn |
| Oct 31, 2025 | 839.79 Mn |
| Jul 31, 2025 | 696.20 Mn |
| Apr 30, 2025 | 663.80 Mn |
| Jan 31, 2025 | 621.15 Mn |
| Oct 31, 2024 | 793.32 Mn |
| Jul 31, 2024 | 604.67 Mn |
| Apr 30, 2024 | 578.99 Mn |
| Jan 31, 2024 | 550.24 Mn |
| Oct 31, 2023 | 721.01 Mn |
| Jul 31, 2023 | 586.51 Mn |
| Apr 30, 2023 | 590.33 Mn |
| Jan 31, 2023 | 587.51 Mn |
| Oct 31, 2022 | 743.58 Mn |
| Jul 31, 2022 | 697.47 Mn |
| Apr 30, 2022 | 629.95 Mn |
| Jan 31, 2022 | 569.70 Mn |
| Oct 31, 2021 | 627.10 Mn |
API Access
Urban Outfitters Inventory 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=inventory&ticker=URBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=URBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();