Rent the Runway (RENT) Return on Assets [ROA] (2022 - 2026)
Rent the Runway's Return on Assets [ROA] came in at 21.38% for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 57.91 percentage points from -36.53% a year earlier and up 7.64 percentage points from the prior quarter.
Rent the Runway (RENT) Return on Assets [ROA] (2022 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Rent the Runway's Return on Assets [ROA] was 9.80%, up 36.77 percentage points from FY2025.
- Return on Assets [ROA] carries a four-year change of +64.95 percentage points (FY2022 to FY2026).
- Going back by fiscal year, Return on Assets [ROA] was -26.96% in FY2025 (+9.87 pp), -36.83% in FY2024 (-1.43 pp), -35.40% in FY2023 (+19.75 pp) and -55.14% in FY2022.
- The fiscal Q2 2027 figure represents the highest quarterly Return on Assets [ROA] in data going back to fiscal Q4 2022.
- Year-over-year, Return on Assets [ROA] has increased for four consecutive quarters, with an average year-over-year change of +24.80 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in fiscal Q2 2027 (a gain of 57.91 percentage points), and the weakest in fiscal Q2 2026 (a drop of 1.48 percentage points).
- Business Quant data shows RENT's Return on Assets [ROA] at 13.74% (Q1 2027), 10.00% (Q4 2026) and 4.71% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 13.15% |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 13.10% |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 16.56% |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | 11.99% |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | 16.86% |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 7.42% |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | 15.44% |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 15.05% |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 11.98% |
| 10 | Rent the Runway | 55.73 Mn | 55.73 Mn | 74.20 Mn | 21.38% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 21.38% |
| Apr 30, 2026 | 13.74% |
| Jan 31, 2026 | 10.00% |
| Oct 31, 2025 | 4.71% |
| Jul 31, 2025 | -36.53% |
| Apr 30, 2025 | -30.50% |
| Jan 31, 2025 | -28.44% |
| Oct 31, 2024 | -31.94% |
| Jul 31, 2024 | -35.05% |
| Apr 30, 2024 | -37.74% |
| Jan 31, 2024 | -38.45% |
| Oct 31, 2023 | -37.29% |
| Jul 31, 2023 | -37.73% |
| Apr 30, 2023 | -38.07% |
| Jan 31, 2023 | -39.44% |
| Oct 31, 2022 | -40.53% |
| Jul 31, 2022 | -51.01% |
| Apr 30, 2022 | -49.10% |
| Jan 31, 2022 | -45.75% |
Rent the Runway Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=RENT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=RENT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();