Urban Outfitters (URBN) Long-Term Investments (2009 - 2026)
Urban Outfitters (URBN) recorded Long-Term Investments of $229.41 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 37.4% from $366.34 million a year earlier and down 3.4% from the prior quarter.
Urban Outfitters (URBN) Long-Term Investments (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Urban Outfitters reported Long-Term Investments of $461.86 million, up 12.6% from FY2025.
- Annual Long-Term Investments has increased for three straight fiscal years, with a five-year compound annual growth rate of 30.2% (FY2021 to FY2026).
- Across earlier fiscal years, Long-Term Investments came in at $410.21 million in FY2025 (+30.6%), $314.15 million in FY2024 (+205.5%), $102.84 million in FY2023 (-54.0%) and $223.56 million in FY2022 (+80.8%).
- The fiscal Q2 2027 figure is the lowest quarterly Long-Term Investments since fiscal Q2 2025.
- On a year-over-year basis, Long-Term Investments rose in six of the last eight quarters, with growth averaging 25.0%.
- Peak year-over-year performance for Long-Term Investments in the last five years was growth of 233.3% in fiscal Q1 2025, against a decline of 54.0% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $237.47 million (Q1 2027), $461.86 million (Q4 2026) and $351.84 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | - |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 179.00 Mn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | - |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | - |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 119.90 Mn |
| 10 | Urban Outfitters | 6.92 Bn | 4.48 Bn | 721.55 Mn | 229.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 229.41 Mn |
| Apr 30, 2026 | 237.47 Mn |
| Jan 31, 2026 | 461.86 Mn |
| Oct 31, 2025 | 351.84 Mn |
| Jul 31, 2025 | 366.34 Mn |
| Apr 30, 2025 | 365.94 Mn |
| Jan 31, 2025 | 410.21 Mn |
| Oct 31, 2024 | 240.24 Mn |
| Jul 31, 2024 | 209.47 Mn |
| Apr 30, 2024 | 287.18 Mn |
| Jan 31, 2024 | 314.15 Mn |
| Oct 31, 2023 | 132.94 Mn |
| Jul 31, 2023 | 122.36 Mn |
| Apr 30, 2023 | 86.16 Mn |
| Jan 31, 2023 | 102.84 Mn |
| Oct 31, 2022 | 146.36 Mn |
| Jul 31, 2022 | 152.53 Mn |
| Apr 30, 2022 | 179.46 Mn |
| Jan 31, 2022 | 223.56 Mn |
| Oct 31, 2021 | 269.78 Mn |
Urban Outfitters Long-Term Investments 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=long-term-investments&ticker=URBN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=URBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();