Urban Outfitters (URBN) Return on Sales [ROS] (2009 - 2026)
Urban Outfitters' Return on Sales [ROS] came in at 17.37% for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 5.78 percentage points from 11.59% a year earlier and up 7.94 percentage points from the prior quarter.
Urban Outfitters (URBN) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Urban Outfitters reported Return on Sales [ROS] of 11.30%, up 1.75 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was 9.82%, up 1.29 percentage points from FY2025.
- Return on Sales [ROS] has increased in each of the last three fiscal years, with a five-year change of +9.71 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was 8.54% in FY2025 (+1.36 pp), 7.18% in FY2024 (+2.45 pp), 4.73% in FY2023 (-4.26 pp) and 8.98% in FY2022 (+8.87 pp).
- The fiscal Q2 2027 figure represents the highest quarterly Return on Sales [ROS] since fiscal Q4 2011.
- Year-over-year, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +1.97 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q2 2027 (a gain of 5.78 percentage points), and the weakest in fiscal Q2 2023 (a drop of 7.07 percentage points).
- Business Quant data shows URBN's Return on Sales [ROS] at 9.43% (Q1 2027), 8.81% (Q4 2026) and 9.44% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 9.65% |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 9.22% |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 20.15% |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 19.08% |
| 10 | Urban Outfitters | 6.92 Bn | 4.48 Bn | 721.55 Mn | 17.37% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 17.37% |
| Apr 30, 2026 | 9.43% |
| Jan 31, 2026 | 8.81% |
| Oct 31, 2025 | 9.44% |
| Jul 31, 2025 | 11.59% |
| Apr 30, 2025 | 9.64% |
| Jan 31, 2025 | 7.66% |
| Oct 31, 2024 | 9.45% |
| Jul 31, 2024 | 10.74% |
| Apr 30, 2024 | 6.21% |
| Jan 31, 2024 | 3.86% |
| Oct 31, 2023 | 8.51% |
| Jul 31, 2023 | 10.38% |
| Apr 30, 2023 | 6.41% |
| Jan 31, 2023 | 2.69% |
| Oct 31, 2022 | 4.88% |
| Jul 31, 2022 | 7.25% |
| Apr 30, 2022 | 4.40% |
| Jan 31, 2022 | 4.00% |
| Oct 31, 2021 | 10.24% |
Urban Outfitters Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=URBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=URBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();