Urban Outfitters (URBN) Accumulated Expenses (2009 - 2026)
Urban Outfitters (URBN) posted Accumulated Expenses of $558.3 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 4.7% from $533.06 million a year earlier and up 15.6% from the prior quarter.
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Analysis
Urban Outfitters (URBN) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Urban Outfitters' Accumulated Expenses came in at $564.71 million, up 36.6% from FY2025.
- Annual Accumulated Expenses has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 9.5% (FY2021 to FY2026).
- In prior fiscal years, Urban Outfitters' Accumulated Expenses was $413.49 million in FY2025 (+5.6%), $391.51 million in FY2024 (+21.4%), $322.58 million in FY2023 (-8.1%) and $351 million in FY2022 (-2.3%).
- Quarterly Accumulated Expenses has run from a low of $322.58 million in fiscal Q4 2023 to a high of $564.71 million in fiscal Q4 2026 over five years.
- On a year-over-year basis, Accumulated Expenses increased in seven of the last eight quarters, with growth averaging 8.3%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q3 2022, with growth of 44.3%; the weakest was fiscal Q2 2023, with a decline of 14.3%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $483.05 million (Q1 2027), $564.71 million (Q4 2026) and $559.46 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | Urban Outfitters | 6.92 Bn | 4.48 Bn | 721.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 558.30 Mn |
| Apr 30, 2026 | 483.05 Mn |
| Jan 31, 2026 | 564.71 Mn |
| Oct 31, 2025 | 559.46 Mn |
| Jul 31, 2025 | 533.06 Mn |
| Apr 30, 2025 | 495.59 Mn |
| Jan 31, 2025 | 413.49 Mn |
| Oct 31, 2024 | 533.92 Mn |
| Jul 31, 2024 | 483.08 Mn |
| Apr 30, 2024 | 488.68 Mn |
| Jan 31, 2024 | 391.51 Mn |
| Oct 31, 2023 | 506.03 Mn |
| Jul 31, 2023 | 459.34 Mn |
| Apr 30, 2023 | 431.03 Mn |
| Jan 31, 2023 | 322.58 Mn |
| Oct 31, 2022 | 457.54 Mn |
| Jul 31, 2022 | 396.65 Mn |
| Apr 30, 2022 | 395.95 Mn |
| Jan 31, 2022 | 351.00 Mn |
| Oct 31, 2021 | 493.45 Mn |
API Access
Urban Outfitters Accumulated Expenses 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=accumulated-expenses&ticker=URBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=URBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();