Urban Outfitters (URBN) Cost of Revenue (2009 - 2026)
Urban Outfitters (URBN) recorded Cost of Revenue of $940.36 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 0.2% from $938.59 million a year earlier and up 0.2% from the prior quarter.
Urban Outfitters (URBN) Cost of Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Urban Outfitters' Cost of Revenue came in at $4.05 billion as of Jul 31, 2026, up 7.8% year-over-year; for FY2026 (ended Jan 31, 2026), it was $3.95 billion, up 9.0% from FY2025.
- Annual Cost of Revenue has increased for five straight fiscal years, with a five-year compound annual growth rate of 8.9% (FY2021 to FY2026).
- Across earlier fiscal years, Cost of Revenue came in at $3.62 billion in FY2025 (+5.6%), $3.43 billion in FY2024 (+1.9%), $3.36 billion in FY2023 (+10.0%) and $3.05 billion in FY2022 (+18.8%).
- Quarterly Cost of Revenue has ranged from $728.63 million in fiscal Q1 2023 to $1.2 billion in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Cost of Revenue has increased for 22 consecutive quarters, with growth averaging 7.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Cost of Revenue ranged from 0.2% (fiscal Q2 2027) to 20.9% (fiscal Q4 2022).
- Per Business Quant, the preceding three fiscal quarters came in at $938.78 million (Q1 2027), $1.2 billion (Q4 2026) and $964.03 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.15 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 17.60 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 5.99 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 2.38 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 2.32 Bn |
| 10 | Urban Outfitters | 6.92 Bn | 4.48 Bn | 721.55 Mn | 940.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 940.36 Mn |
| Apr 30, 2026 | 938.78 Mn |
| Jan 31, 2026 | 1.20 Bn |
| Oct 31, 2025 | 964.03 Mn |
| Jul 31, 2025 | 938.59 Mn |
| Apr 30, 2025 | 840.44 Mn |
| Jan 31, 2025 | 1.11 Bn |
| Oct 31, 2024 | 864.54 Mn |
| Jul 31, 2024 | 858.67 Mn |
| Apr 30, 2024 | 787.75 Mn |
| Jan 31, 2024 | 1.04 Bn |
| Oct 31, 2023 | 825.38 Mn |
| Jul 31, 2023 | 816.61 Mn |
| Apr 30, 2023 | 742.44 Mn |
| Jan 31, 2023 | 1.01 Bn |
| Oct 31, 2022 | 817.35 Mn |
| Jul 31, 2022 | 808.84 Mn |
| Apr 30, 2022 | 728.63 Mn |
| Jan 31, 2022 | 964.90 Mn |
| Oct 31, 2021 | 740.69 Mn |
Urban Outfitters Cost of Revenue 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=cost-of-revenue&ticker=URBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=URBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();