Urban Outfitters (URBN) Other Operating Expenses (2010 - 2024)
Urban Outfitters (URBN) recorded Other Operating Expenses of $14.82 million in fiscal Q3 2025 (quarter ended Oct 31, 2024), down 15.9% from $17.61 million a year earlier but up 15.6% from the prior quarter.
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Analysis
Urban Outfitters (URBN) Other Operating Expenses (2010 - 2024) Analysis & Trends
For FY2024 (ended Jan 31, 2024), Urban Outfitters reported Other Operating Expenses of $66.53 million, up 7.4% from FY2023.
- Annual Other Operating Expenses has increased for three straight fiscal years, with a five-year compound annual growth rate of 11.8% (FY2019 to FY2024).
- Across earlier fiscal years, Other Operating Expenses came in at $61.95 million in FY2023 (+12.0%), $55.32 million in FY2022 (+56.4%), $35.37 million in FY2021 (-25.6%) and $47.55 million in FY2020 (+25.0%).
- Quarterly Other Operating Expenses has ranged from -$1.55 million in fiscal Q2 2021 to $23.29 million in fiscal Q1 2025 over the past five years.
- On a year-over-year basis, Other Operating Expenses rose in six of the last eight quarters, with growth averaging 6.6%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 104.7% in fiscal Q4 2020, against a decline of 20.6% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $12.82 million (Q2 2025), $23.29 million (Q1 2025) and $14.87 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | Urban Outfitters | 6.54 Bn | 4.10 Bn | 721.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2024 | 14.82 Mn |
| Jul 31, 2024 | 12.82 Mn |
| Apr 30, 2024 | 23.29 Mn |
| Jan 31, 2024 | 14.87 Mn |
| Oct 31, 2023 | 17.61 Mn |
| Jul 31, 2023 | 16.16 Mn |
| Apr 30, 2023 | 17.89 Mn |
| Jan 31, 2023 | 13.26 Mn |
| Oct 31, 2022 | 17.21 Mn |
| Jul 31, 2022 | 15.81 Mn |
| Apr 30, 2022 | 15.67 Mn |
| Jan 31, 2022 | 10.31 Mn |
| Oct 31, 2021 | 16.76 Mn |
| Jul 31, 2021 | 16.72 Mn |
| Apr 30, 2021 | 11.52 Mn |
| Jan 31, 2021 | 11.17 Mn |
| Oct 31, 2020 | 14.52 Mn |
| Jul 31, 2020 | -1.55 Mn |
| Apr 30, 2020 | 11.23 Mn |
| Jan 31, 2020 | 12.61 Mn |
API Access
Urban Outfitters Other Operating 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=other-operating-expenses&ticker=URBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=URBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();