Urban Outfitters (URBN) Change in Inventory (2009 - 2026)
Urban Outfitters (URBN) posted Change in Inventory of $52.37 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 57.6% from $33.23 million a year earlier and up 95.9% from the prior quarter.
Urban Outfitters (URBN) Change in Inventory (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Change in Inventory at Urban Outfitters was $81.25 million, down 9.2% year-over-year; for FY2026 (ended Jan 31, 2026), it was $72.76 million, down 0.3% from FY2025.
- In prior fiscal years, Urban Outfitters' Change in Inventory was $72.95 million in FY2025, -$38.79 million in FY2024, $22.29 million in FY2023 (-87.7%) and $181.9 million in FY2022.
- Quarterly Change in Inventory has run from a low of -$174 million in fiscal Q4 2024 to a high of $188.14 million in fiscal Q3 2025 over five years.
- On a year-over-year basis, Change in Inventory increased in four of the last six quarters, with growth averaging 17.3%.
- The strongest year-over-year quarter for Change in Inventory in the past five years was fiscal Q3 2024, with growth of 173.2%; the weakest was fiscal Q1 2024, with a decline of 97.4%.
- According to Business Quant data, Change in Inventory for the three prior fiscal quarters was $26.74 million (Q1 2027), -$142.03 million (Q4 2026) and $144.18 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 1.82 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | -604.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 221.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | -709.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 110.41 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 932.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 160.24 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 586.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 104.14 Mn |
| 10 | Urban Outfitters | 6.54 Bn | 4.10 Bn | 721.55 Mn | 52.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 52.37 Mn |
| Apr 30, 2026 | 26.74 Mn |
| Jan 31, 2026 | -142.03 Mn |
| Oct 31, 2025 | 144.18 Mn |
| Jul 31, 2025 | 33.23 Mn |
| Apr 30, 2025 | 37.39 Mn |
| Jan 31, 2025 | -169.25 Mn |
| Oct 31, 2024 | 188.14 Mn |
| Jul 31, 2024 | 24.23 Mn |
| Apr 30, 2024 | 29.82 Mn |
| Jan 31, 2024 | -174.00 Mn |
| Oct 31, 2023 | 138.52 Mn |
| Jul 31, 2023 | -4.95 Mn |
| Apr 30, 2023 | 1.65 Mn |
| Jan 31, 2023 | -162.51 Mn |
| Oct 31, 2022 | 50.71 Mn |
| Jul 31, 2022 | 69.58 Mn |
| Apr 30, 2022 | 64.51 Mn |
| Jan 31, 2022 | -56.20 Mn |
| Oct 31, 2021 | 145.05 Mn |
Urban Outfitters Change in 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=change-in-inventory&ticker=URBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=URBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();