Rent the Runway (RENT) Return on Sales [ROS] (2020 - 2026)
Rent the Runway (RENT) reported Return on Sales [ROS] of -7.98% for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 16.86 percentage points from -24.85% a year earlier and up 13.93 percentage points from the prior quarter.
Rent the Runway (RENT) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Rent the Runway's Return on Sales [ROS] came in at -12.32%, up 7.89 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at -17.43%, down 1.92 percentage points from FY2025.
- Return on Sales [ROS] has a five-year change of +65.42 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Sales [ROS] came in at -15.51% in FY2025 (+11.31 pp), -26.83% in FY2024 (+8.13 pp), -34.95% in FY2023 (+26.98 pp) and -61.93% in FY2022 (+20.93 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -74.92% in fiscal Q3 2022 and a high of -1.64% in fiscal Q4 2026.
- Year over year, Return on Sales [ROS] has now increased in each of the last three quarters, with an average year-over-year change of +4.98 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q4 2022 (a gain of 42.31 percentage points); the low point was fiscal Q2 2026 (a drop of 12.68 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at -21.91% (Q1 2027), -1.64% (Q4 2026) and -18.49% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 9.65% |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 9.22% |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 20.15% |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 19.08% |
| 10 | Rent the Runway | 52.35 Mn | 52.35 Mn | 74.20 Mn | -7.98% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -7.98% |
| Apr 30, 2026 | -21.91% |
| Jan 31, 2026 | -1.64% |
| Oct 31, 2025 | -18.49% |
| Jul 31, 2025 | -24.85% |
| Apr 30, 2025 | -28.30% |
| Jan 31, 2025 | -10.08% |
| Oct 31, 2024 | -18.05% |
| Jul 31, 2024 | -12.17% |
| Apr 30, 2024 | -22.00% |
| Jan 31, 2024 | -25.46% |
| Oct 31, 2023 | -30.21% |
| Jul 31, 2023 | -23.12% |
| Apr 30, 2023 | -28.71% |
| Jan 31, 2023 | -23.61% |
| Oct 31, 2022 | -34.88% |
| Jul 31, 2022 | -33.46% |
| Apr 30, 2022 | -49.48% |
| Jan 31, 2022 | -46.65% |
| Oct 31, 2021 | -74.92% |
Rent the Runway Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=RENT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=RENT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();