Rent the Runway (RENT) Other Operating Expenses (2020 - 2026)
Rent the Runway (RENT) recorded Other Operating Expenses of $1.3 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 116.7% from $600,000 a year earlier and up 18.2% from the prior quarter.
Rent the Runway (RENT) Other Operating Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Rent the Runway's Other Operating Expenses came in at $5.9 million as of Jul 31, 2026, up 126.9% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $4.2 million, up 100.0% from FY2025.
- Annual Other Operating Expenses has a five-year compound annual growth rate of -7.5% (FY2021 to FY2026).
- Across earlier fiscal years, Other Operating Expenses came in at $2.1 million in FY2025 (+200.0%), $700,000 in FY2024 (-53.3%), $1.5 million in FY2023 (-61.5%) and $3.9 million in FY2022 (-37.1%).
- Quarterly Other Operating Expenses has ranged from $100,000 in fiscal Q3 2023 to $71.1 million in fiscal Q1 2023 over the past five years.
- On a year-over-year basis, Other Operating Expenses rose in five of the last seven quarters, with growth averaging 186.3%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 500.0% in fiscal Q2 2026, against a decline of 92.3% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.1 million (Q1 2027), $100,000 (Q4 2026) and $3.4 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | Rent the Runway | 55.73 Mn | 55.73 Mn | 74.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.30 Mn |
| Apr 30, 2026 | 1.10 Mn |
| Jan 31, 2026 | 100,000.00 |
| Oct 31, 2025 | 3.40 Mn |
| Jul 31, 2025 | 600,000.00 |
| Apr 30, 2025 | 100,000.00 |
| Jan 31, 2025 | 1.00 Mn |
| Oct 31, 2024 | 900,000.00 |
| Jul 31, 2024 | 100,000.00 |
| Apr 30, 2024 | 100,000.00 |
| Jan 31, 2024 | 400,000.00 |
| Oct 31, 2023 | 200,000.00 |
| Jul 31, 2023 | 100,000.00 |
| Jan 31, 2023 | 100,000.00 |
| Oct 31, 2022 | 100,000.00 |
| Jul 31, 2022 | 1.30 Mn |
| Apr 30, 2022 | 71.10 Mn |
| Jul 31, 2021 | 3.90 Mn |
| Apr 30, 2021 | 42.80 Mn |
| Jan 31, 2021 | 46.00 Mn |
Rent the Runway Other 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=other-operating-expenses&ticker=RENT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=RENT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();