Lulu's Fashion Lounge Holdings (LVLU) Operating Expenses (2020 - 2026)
Lulu's Fashion Lounge Holdings' Operating Expenses came in at $15.82 million for Q2 2026, down 9.9% from $17.56 million a year earlier but up 2.3% from the prior quarter.
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Analysis
Lulu's Fashion Lounge Holdings (LVLU) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Lulu's Fashion Lounge Holdings reported Operating Expenses of $63.75 million, down 14.3% year-over-year; for FY2025, it was $68.08 million, down 16.3% from FY2024.
- Operating Expenses has declined in each of the last three years, though with a four-year compound annual growth rate of 0.3% (FY2021 to FY2025).
- Going back by year, Operating Expenses was $81.33 million in FY2024 (-11.7%), $92.13 million in FY2023 (-7.1%), $99.15 million in FY2022 and $67.16 million in FY2021.
- The five-year range for quarterly Operating Expenses is $15.46 million (Q1 2026) to $41.71 million (Q4 2022).
- Year-over-year, Operating Expenses has declined for 11 consecutive quarters, with an average decline of 13.8% over the last eight quarters.
- The year-over-year decline in Operating Expenses has ranged between 7.9% (Q3 2024) and 47.7% (Q4 2023) over the last five years.
- Business Quant data shows LVLU's Operating Expenses at $15.46 million (Q1 2026), $16.12 million (Q4 2025) and $16.35 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Lulu's Fashion Lounge Holdings | 35.05 Mn | 18.89 Mn | 32.96 Mn | 15.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 15.82 Mn |
| Mar 29, 2026 | 15.46 Mn |
| Dec 28, 2025 | 16.12 Mn |
| Sep 28, 2025 | 16.35 Mn |
| Jun 29, 2025 | 17.56 Mn |
| Mar 30, 2025 | 18.04 Mn |
| Dec 29, 2024 | 18.92 Mn |
| Sep 29, 2024 | 19.87 Mn |
| Jun 30, 2024 | 21.44 Mn |
| Mar 31, 2024 | 21.11 Mn |
| Dec 31, 2023 | 21.81 Mn |
| Oct 1, 2023 | 21.58 Mn |
| Jul 2, 2023 | 24.40 Mn |
| Apr 2, 2023 | 24.35 Mn |
| Jan 1, 2023 | 41.71 Mn |
| Oct 2, 2022 | 24.42 Mn |
| Jul 3, 2022 | 23.39 Mn |
| Apr 3, 2022 | 27.83 Mn |
| Oct 3, 2021 | 21.20 Mn |
| Jul 4, 2021 | 21.15 Mn |
API Access
Lulu's Fashion Lounge Holdings 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=LVLU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=LVLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();