Urban Outfitters (URBN) Total Liabilities (2009 - 2026)
Urban Outfitters' Total Liabilities was $2.27 billion in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 6.5% from $2.13 billion a year earlier and up 5.3% from the prior quarter.
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Analysis
Urban Outfitters (URBN) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Liabilities at Urban Outfitters came in at $2.19 billion, up 7.0% from FY2025.
- Total Liabilities has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 1.2% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $2.05 billion in FY2025 (+2.5%), $2 billion in FY2024 (+5.7%), $1.89 billion in FY2023 (-7.6%) and $2.05 billion in FY2022 (-1.1%).
- The fiscal Q2 2027 figure marks the highest quarterly Total Liabilities in data going back to fiscal Q2 2010.
- Compared with a year earlier, Total Liabilities has increased for five straight quarters, with growth averaging 4.3% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q4 2026 (growth of 7.0%); the worst was fiscal Q4 2023 (a decline of 7.6%).
- Per Business Quant data, URBN's Total Liabilities in the three fiscal quarters before Q2 2027 was $2.15 billion (Q1 2027), $2.19 billion (Q4 2026) and $2.2 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,807.22 Bn | 2,303.89 Bn | 107.37 Bn | 629.79 Bn |
| 2 | Home Depot | 347.46 Bn | 340.70 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 153.51 Bn | 131.06 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 127.28 Bn | 120.25 Bn | 8.58 Bn | 63.32 Bn |
| 5 | O Reilly Automotive | 75.34 Bn | 74.43 Bn | 2.52 Bn | 19.22 Bn |
| 6 | Ross Stores | 74.38 Bn | 57.31 Bn | 2.12 Bn | 9.24 Bn |
| 7 | Target | 71.81 Bn | 66.40 Bn | 8.94 Bn | 43.39 Bn |
| 8 | Autozone | 54.47 Bn | 53.32 Bn | 3.52 Bn | 24.13 Bn |
| 9 | Carvana | 52.23 Bn | 41.81 Bn | 1.52 Bn | 9.54 Bn |
| 10 | Urban Outfitters | 7.51 Bn | 5.07 Bn | 721.55 Mn | 2.27 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.27 Bn |
| Apr 30, 2026 | 2.15 Bn |
| Jan 31, 2026 | 2.19 Bn |
| Oct 31, 2025 | 2.20 Bn |
| Jul 31, 2025 | 2.13 Bn |
| Apr 30, 2025 | 2.03 Bn |
| Jan 31, 2025 | 2.05 Bn |
| Oct 31, 2024 | 2.13 Bn |
| Jul 31, 2024 | 2.02 Bn |
| Apr 30, 2024 | 2.03 Bn |
| Jan 31, 2024 | 2.00 Bn |
| Oct 31, 2023 | 2.06 Bn |
| Jul 31, 2023 | 2.00 Bn |
| Apr 30, 2023 | 1.94 Bn |
| Jan 31, 2023 | 1.89 Bn |
| Oct 31, 2022 | 1.98 Bn |
| Jul 31, 2022 | 1.95 Bn |
| Apr 30, 2022 | 1.95 Bn |
| Jan 31, 2022 | 2.05 Bn |
| Oct 31, 2021 | 2.14 Bn |
API Access
Urban Outfitters Total Liabilities 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=total-liabilities&ticker=URBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=URBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();