Lulu's Fashion Lounge Holdings (LVLU) Operating Leases (2022 - 2026)
Lulu's Fashion Lounge Holdings (LVLU) posted Operating Leases of $8.1 million for Q2 2026, down 38.0% from $13.07 million a year earlier and down 12.1% from the prior quarter.
Lulu's Fashion Lounge Holdings (LVLU) Operating Leases (2022 - 2026) Analysis & Trends
At the end of FY2025, Lulu's Fashion Lounge Holdings' Operating Leases came in at $10.39 million, down 47.1% from FY2024.
- Annual Operating Leases has declined for three consecutive years, with a three-year compound annual growth rate of -29.0% (FY2022 to FY2025).
- In prior years, Lulu's Fashion Lounge Holdings' Operating Leases was $19.65 million in FY2024 (-22.7%), $25.43 million in FY2023 (-12.4%) and $29.04 million in FY2022.
- The Q2 2026 figure stands as the lowest quarterly Operating Leases in data going back to Q4 2022.
- On a year-over-year basis, Operating Leases has declined in each of the last 11 quarters, with an average decline of 36.4% over the last eight quarters.
- The year-over-year decline in Operating Leases has ranged between 12.4% (Q4 2023) and 47.1% (Q4 2025) over the last five years.
- According to Business Quant data, Operating Leases for the three prior quarters was $9.22 million (Q1 2026), $10.39 million (Q4 2025) and $11.76 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn |
| 10 | Lulu's Fashion Lounge Holdings | 35.05 Mn | 18.89 Mn | 32.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 8.10 Mn |
| Mar 29, 2026 | 9.22 Mn |
| Dec 28, 2025 | 10.39 Mn |
| Sep 28, 2025 | 11.76 Mn |
| Jun 29, 2025 | 13.07 Mn |
| Mar 30, 2025 | 15.17 Mn |
| Dec 29, 2024 | 19.65 Mn |
| Sep 29, 2024 | 21.02 Mn |
| Jun 30, 2024 | 22.46 Mn |
| Mar 31, 2024 | 23.86 Mn |
| Dec 31, 2023 | 25.43 Mn |
| Oct 1, 2023 | 26.78 Mn |
| Jul 2, 2023 | 27.19 Mn |
| Apr 2, 2023 | 27.76 Mn |
| Jan 1, 2023 | 29.04 Mn |
| Oct 2, 2022 | 28.55 Mn |
| Jul 3, 2022 | 28.76 Mn |
| Apr 3, 2022 | 28.47 Mn |
Lulu's Fashion Lounge Holdings Operating Leases 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-leases&ticker=LVLU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "LVLU", "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-leases&ticker=LVLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();