Rent the Runway (RENT) Operating Expenses (2020 - 2026)
Rent the Runway (RENT) recorded Operating Expenses of $105.5 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 4.5% from $101 million a year earlier but down 3.7% from the prior quarter.
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Analysis
Rent the Runway (RENT) Operating Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Rent the Runway's Operating Expenses came in at $412.1 million as of Jul 31, 2026, up 13.2% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $387.3 million, up 9.5% from FY2025.
- Annual Operating Expenses has a five-year compound annual growth rate of 6.1% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $353.7 million in FY2025 (-6.5%), $378.2 million in FY2024 (-5.5%), $400 million in FY2023 (+21.5%) and $329.2 million in FY2022 (+14.3%).
- Quarterly Operating Expenses has ranged from $84.1 million in fiscal Q4 2025 to $109.6 million in fiscal Q1 2027 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for five consecutive quarters, with growth averaging 6.1% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 62.3% in fiscal Q1 2023, against a decline of 11.6% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $109.6 million (Q1 2027), $93.2 million (Q4 2026) and $103.8 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Rent the Runway | 55.73 Mn | 55.73 Mn | 74.20 Mn | 105.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 105.50 Mn |
| Apr 30, 2026 | 109.60 Mn |
| Jan 31, 2026 | 93.20 Mn |
| Oct 31, 2025 | 103.80 Mn |
| Jul 31, 2025 | 101.00 Mn |
| Apr 30, 2025 | 89.30 Mn |
| Jan 31, 2025 | 84.10 Mn |
| Oct 31, 2024 | 89.60 Mn |
| Jul 31, 2024 | 88.50 Mn |
| Apr 30, 2024 | 91.50 Mn |
| Jan 31, 2024 | 95.10 Mn |
| Oct 31, 2023 | 94.40 Mn |
| Jul 31, 2023 | 93.20 Mn |
| Apr 30, 2023 | 95.50 Mn |
| Jan 31, 2023 | 93.20 Mn |
| Oct 31, 2022 | 104.40 Mn |
| Jul 31, 2022 | 102.10 Mn |
| Apr 30, 2022 | 100.30 Mn |
| Jan 31, 2022 | 94.00 Mn |
| Oct 31, 2021 | 103.20 Mn |
API Access
Rent the Runway Operating Expenses 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=operating-expenses&ticker=RENT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=RENT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();