Urban Outfitters (URBN) EBITDA (2010 - 2026)
Urban Outfitters' EBITDA came in at $326.31 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 58.2% from $206.23 million a year earlier and up 85.7% from the prior quarter.
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Analysis
Urban Outfitters (URBN) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Urban Outfitters reported EBITDA of $872.21 million, up 28.9% year-over-year; for FY2026 (ended Jan 31, 2026), it was $734.16 million, up 24.6% from FY2025.
- EBITDA has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 46.8% (FY2021 to FY2026).
- Going back by fiscal year, EBITDA was $589.19 million in FY2025 (+24.8%), $472.28 million in FY2024 (+43.6%), $328.96 million in FY2023 (-36.0%) and $514.24 million in FY2022 (+377.3%).
- The fiscal Q2 2027 figure represents the highest quarterly EBITDA in data going back to fiscal Q1 2011.
- Year-over-year, EBITDA has increased for 14 consecutive quarters, with growth averaging 34.7% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q4 2025 (growth of 83.0%), and the weakest in fiscal Q3 2023 (a decline of 42.2%).
- Business Quant data shows URBN's EBITDA at $175.75 million (Q1 2027), $192.87 million (Q4 2026) and $177.28 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 1.24 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 3.34 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 1.12 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 749.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 1.08 Bn |
| 10 | Urban Outfitters | 6.48 Bn | 4.04 Bn | 721.55 Mn | 326.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 326.31 Mn |
| Apr 30, 2026 | 175.75 Mn |
| Jan 31, 2026 | 192.87 Mn |
| Oct 31, 2025 | 177.28 Mn |
| Jul 31, 2025 | 206.23 Mn |
| Apr 30, 2025 | 157.78 Mn |
| Jan 31, 2025 | 154.71 Mn |
| Oct 31, 2024 | 158.17 Mn |
| Jul 31, 2024 | 173.93 Mn |
| Apr 30, 2024 | 102.39 Mn |
| Jan 31, 2024 | 84.54 Mn |
| Oct 31, 2023 | 136.79 Mn |
| Jul 31, 2023 | 155.69 Mn |
| Apr 30, 2023 | 95.26 Mn |
| Jan 31, 2023 | 62.06 Mn |
| Oct 31, 2022 | 82.46 Mn |
| Jul 31, 2022 | 111.50 Mn |
| Apr 30, 2022 | 72.94 Mn |
| Jan 31, 2022 | 81.00 Mn |
| Oct 31, 2021 | 142.66 Mn |
API Access
Urban Outfitters EBITDA 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=ebitda&ticker=URBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=URBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();