Rent the Runway (RENT) EBITDA Margin (2020 - 2026)
Rent the Runway (RENT) posted EBITDA Margin of -5.83% for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 18.89 percentage points from -24.72% a year earlier and up 13.63 percentage points from the prior quarter.
Rent the Runway (RENT) EBITDA Margin (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, EBITDA Margin at Rent the Runway was -8.91%, up 7.93 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was -14.89%, down 2.74 percentage points from FY2025.
- Annual EBITDA Margin shows a five-year change of +56.29 percentage points (FY2021 to FY2026).
- In prior fiscal years, Rent the Runway's EBITDA Margin was -12.15% in FY2025 (+10.65 pp), -22.80% in FY2024 (+7.86 pp), -30.67% in FY2023 (+23.98 pp) and -54.65% in FY2022 (+16.53 pp).
- Quarterly EBITDA Margin has run from a low of -74.92% in fiscal Q3 2022 to a high of 7.31% in fiscal Q4 2026 over five years.
- On a year-over-year basis, EBITDA Margin has increased in each of the last three quarters, with an average year-over-year change of +4.69 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was fiscal Q3 2023, with a gain of 40.29 percentage points; the weakest was fiscal Q2 2026, with a drop of 12.81 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior fiscal quarters was -19.47% (Q1 2027), 7.31% (Q4 2026) and -18.49% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,729.18 Bn | 2,245.87 Bn | 104.83 Bn | 23.65% |
| 2 | Home Depot | 317.92 Bn | 311.16 Bn | 16.12 Bn | 16.60% |
| 3 | Tjx Companies | 154.39 Bn | 131.94 Bn | 5.07 Bn | 15.33% |
| 4 | Lowes Companies | 111.19 Bn | 104.15 Bn | 8.58 Bn | 16.17% |
| 5 | Ross Stores | 73.55 Bn | 56.48 Bn | 2.12 Bn | 19.85% |
| 6 | O Reilly Automotive | 73.31 Bn | 72.39 Bn | 2.52 Bn | 23.02% |
| 7 | Target | 67.24 Bn | 61.83 Bn | 8.94 Bn | 12.60% |
| 8 | Carvana | 65.14 Bn | 56.74 Bn | 1.38 Bn | 10.21% |
| 9 | Autozone | 50.89 Bn | 49.73 Bn | 3.52 Bn | 23.36% |
| 10 | Rent the Runway | 91.19 Mn | -76.01 Mn | 74.20 Mn | 0.51% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 0.51% |
| Apr 30, 2026 | -13.01% |
| Jan 31, 2026 | 7.09% |
| Oct 31, 2025 | -9.93% |
| Jul 31, 2025 | -15.70% |
| Apr 30, 2025 | -3.59% |
| Jan 31, 2025 | 13.09% |
| Oct 31, 2024 | 7.11% |
| Jul 31, 2024 | 11.53% |
| Apr 30, 2024 | 1.60% |
| Jan 31, 2024 | -0.92% |
| Oct 31, 2023 | -11.17% |
| Jul 31, 2023 | -7.13% |
| Apr 30, 2023 | -13.61% |
| Jan 31, 2023 | -8.49% |
| Oct 31, 2022 | -18.09% |
| Jul 31, 2022 | -16.73% |
| Apr 30, 2022 | -29.66% |
| Jan 31, 2022 | -26.83% |
| Oct 31, 2021 | -51.86% |
Rent the Runway EBITDA Margin 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=ebitda-margin&ticker=RENT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=RENT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();