Rent the Runway (RENT) Non-Current Assets (2021 - 2026)
Rent the Runway's Non-Current Assets was $147.9 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 5.0% from $155.7 million a year earlier and down 6.4% from the prior quarter.
Rent the Runway (RENT) Non-Current Assets (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Non-Current Assets at Rent the Runway came in at $154.3 million, up 5.6% from FY2025.
- Non-Current Assets shows a five-year compound annual growth rate of -6.6% (FY2021 to FY2026).
- In earlier fiscal years, Non-Current Assets was $146.1 million in FY2025 (-17.1%), $176.3 million in FY2024 (+7.4%), $164.1 million in FY2023 (-10.2%) and $182.8 million in FY2022 (-15.9%).
- The fiscal Q2 2027 figure marks the lowest quarterly Non-Current Assets since fiscal Q4 2025.
- Compared with a year earlier, Non-Current Assets was higher in two of the last eight quarters, with an average decline of 5.9%.
- The best year-over-year quarter for Non-Current Assets over five years was fiscal Q3 2024 (growth of 9.7%); the worst was fiscal Q4 2025 (a decline of 17.1%).
- Per Business Quant data, RENT's Non-Current Assets in the three fiscal quarters before Q2 2027 was $158 million (Q1 2027), $154.3 million (Q4 2026) and $164.3 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 846.43 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 71.66 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 21.79 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 32.54 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 8.11 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 40.31 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 10.19 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 6.55 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 11.98 Bn |
| 10 | Rent the Runway | 55.73 Mn | 55.73 Mn | 74.20 Mn | 147.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 147.90 Mn |
| Apr 30, 2026 | 158.00 Mn |
| Jan 31, 2026 | 154.30 Mn |
| Oct 31, 2025 | 164.30 Mn |
| Jul 31, 2025 | 155.70 Mn |
| Apr 30, 2025 | 158.20 Mn |
| Jan 31, 2025 | 146.10 Mn |
| Oct 31, 2024 | 163.30 Mn |
| Jul 31, 2024 | 164.80 Mn |
| Apr 30, 2024 | 179.10 Mn |
| Jan 31, 2024 | 176.30 Mn |
| Oct 31, 2023 | 189.00 Mn |
| Jul 31, 2023 | 166.90 Mn |
| Apr 30, 2023 | 168.90 Mn |
| Jan 31, 2023 | 164.10 Mn |
| Oct 31, 2022 | 172.30 Mn |
| Jul 31, 2022 | 174.20 Mn |
| Apr 30, 2022 | 181.20 Mn |
| Jan 31, 2022 | 182.80 Mn |
| Oct 31, 2021 | 188.70 Mn |
Rent the Runway Non-Current Assets 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=non-current-assets&ticker=RENT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "RENT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-assets&ticker=RENT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();