Rent the Runway (RENT) Total Liabilities (2021 - 2026)
Rent the Runway's Total Liabilities was $257.9 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 42.8% from $451.1 million a year earlier and down 3.0% from the prior quarter.
Rent the Runway (RENT) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Liabilities at Rent the Runway came in at $257.1 million, down 39.1% from FY2025.
- Total Liabilities shows a five-year compound annual growth rate of -21.2% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $422.5 million in FY2025 (+5.4%), $400.8 million in FY2024 (+7.9%), $371.5 million in FY2023 (-1.3%) and $376.4 million in FY2022 (-55.6%).
- Quarterly Total Liabilities has moved between $257.1 million (fiscal Q4 2026) and $452.4 million (fiscal Q1 2026) over five years.
- Compared with a year earlier, Total Liabilities has declined for four straight quarters, with an average decline of 16.9% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q2 2026 (growth of 9.5%); the worst was fiscal Q4 2022 (a decline of 55.6%).
- Per Business Quant data, RENT's Total Liabilities in the three fiscal quarters before Q2 2027 was $266 million (Q1 2027), $257.1 million (Q4 2026) and $266.1 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 23.70 Bn |
| 10 | Rent the Runway | 55.73 Mn | 55.73 Mn | 74.20 Mn | 257.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 257.90 Mn |
| Apr 30, 2026 | 266.00 Mn |
| Jan 31, 2026 | 257.10 Mn |
| Oct 31, 2025 | 266.10 Mn |
| Jul 31, 2025 | 451.10 Mn |
| Apr 30, 2025 | 452.40 Mn |
| Jan 31, 2025 | 422.50 Mn |
| Oct 31, 2024 | 422.80 Mn |
| Jul 31, 2024 | 411.90 Mn |
| Apr 30, 2024 | 419.70 Mn |
| Jan 31, 2024 | 400.80 Mn |
| Oct 31, 2023 | 412.90 Mn |
| Jul 31, 2023 | 380.40 Mn |
| Apr 30, 2023 | 384.00 Mn |
| Jan 31, 2023 | 371.50 Mn |
| Oct 31, 2022 | 389.60 Mn |
| Jul 31, 2022 | 374.80 Mn |
| Apr 30, 2022 | 381.90 Mn |
| Jan 31, 2022 | 376.40 Mn |
| Oct 31, 2021 | 373.50 Mn |
Rent the Runway 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=RENT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=RENT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();