Urban Outfitters (URBN) Other Non-Current Liabilities (2019 - 2026)
Urban Outfitters' Other Non-Current Liabilities came in at $124.46 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 53.2% from $81.23 million a year earlier but down 6.8% from the prior quarter.
Urban Outfitters (URBN) Other Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Urban Outfitters' Other Non-Current Liabilities was $74.14 million, down 26.7% from FY2025.
- Other Non-Current Liabilities carries a five-year compound annual growth rate of -3.6% (FY2021 to FY2026).
- Going back by fiscal year, Other Non-Current Liabilities was $101.09 million in FY2025 (-33.8%), $152.61 million in FY2024 (+32.5%), $115.16 million in FY2023 (+1.9%) and $113.05 million in FY2022 (+27.2%).
- The five-year range for quarterly Other Non-Current Liabilities is $74.14 million (fiscal Q4 2026) to $168.67 million (fiscal Q1 2024).
- Year-over-year, Other Non-Current Liabilities increased in two of the last eight quarters, with an average decline of 11.1%.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in fiscal Q1 2027 (growth of 53.4%), and the weakest in fiscal Q3 2026 (a decline of 39.3%).
- Business Quant data shows URBN's Other Non-Current Liabilities at $133.55 million (Q1 2027), $74.14 million (Q4 2026) and $77.61 million (Q3 2026) in the three fiscal quarters before Q2 2027.
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
| Date | Value |
|---|---|
| Jul 31, 2026 | 124.46 Mn |
| Apr 30, 2026 | 133.55 Mn |
| Jan 31, 2026 | 74.14 Mn |
| Oct 31, 2025 | 77.61 Mn |
| Jul 31, 2025 | 81.23 Mn |
| Apr 30, 2025 | 87.04 Mn |
| Jan 31, 2025 | 101.09 Mn |
| Oct 31, 2024 | 127.95 Mn |
| Jul 31, 2024 | 131.80 Mn |
| Apr 30, 2024 | 142.23 Mn |
| Jan 31, 2024 | 152.61 Mn |
| Oct 31, 2023 | 156.38 Mn |
| Jul 31, 2023 | 162.23 Mn |
| Apr 30, 2023 | 168.67 Mn |
| Jan 31, 2023 | 115.16 Mn |
| Oct 31, 2022 | 112.25 Mn |
| Jul 31, 2022 | 110.67 Mn |
| Apr 30, 2022 | 112.85 Mn |
| Jan 31, 2022 | 113.05 Mn |
| Oct 31, 2021 | 108.85 Mn |
Urban Outfitters Other Non-Current 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=other-non-current-liabilities&ticker=URBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-liabilities&ticker=URBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();