Lulu's Fashion Lounge Holdings (LVLU) Revenue (2020 - 2026)
Lulu's Fashion Lounge Holdings' Revenue was $67.81 million in Q2 2026, down 16.8% from $81.52 million a year earlier but up 17.9% from the prior quarter.
Lulu's Fashion Lounge Holdings (LVLU) Revenue (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lulu's Fashion Lounge Holdings' Revenue was $261.95 million through Jun 28, 2026, down 10.4% year-over-year; for FY2025, it was $282.28 million, down 10.6% from FY2024.
- Revenue has now declined for three consecutive years, though with a four-year compound annual growth rate of 3.2% (FY2021 to FY2025).
- In earlier years, Revenue was $315.89 million in FY2024 (-11.1%), $355.18 million in FY2023 (-19.2%), $439.65 million in FY2022 and $248.66 million in FY2021.
- Quarterly Revenue has moved between $57.53 million (Q1 2026) and $160.79 million (Q4 2022) over five years.
- Compared with a year earlier, Revenue has declined for 11 straight quarters, with an average decline of 10.5% over the last eight quarters.
- Over the past five years, the year-over-year decline in Revenue ranged from 3.1% (Q3 2024) to 53.4% (Q4 2023).
- Per Business Quant data, LVLU's Revenue in the three quarters before Q2 2026 was $57.53 million (Q1 2026), $63.02 million (Q4 2025) and $73.59 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 200.61 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 47.86 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 15.18 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 25.96 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 6.26 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 26.54 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 7.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 4.89 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 4.84 Bn |
| 10 | Lulu's Fashion Lounge Holdings | 41.08 Mn | 24.91 Mn | 32.96 Mn | 67.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 67.81 Mn |
| Mar 29, 2026 | 57.53 Mn |
| Dec 28, 2025 | 63.02 Mn |
| Sep 28, 2025 | 73.59 Mn |
| Jun 29, 2025 | 81.52 Mn |
| Mar 30, 2025 | 64.16 Mn |
| Dec 29, 2024 | 66.15 Mn |
| Sep 29, 2024 | 80.52 Mn |
| Jun 30, 2024 | 91.97 Mn |
| Mar 31, 2024 | 77.26 Mn |
| Dec 31, 2023 | 74.96 Mn |
| Oct 1, 2023 | 83.12 Mn |
| Jul 2, 2023 | 106.12 Mn |
| Apr 2, 2023 | 90.98 Mn |
| Jan 1, 2023 | 160.79 Mn |
| Oct 2, 2022 | 105.28 Mn |
| Jul 3, 2022 | 131.51 Mn |
| Apr 3, 2022 | 111.90 Mn |
| Oct 3, 2021 | 106.32 Mn |
| Jul 4, 2021 | 103.57 Mn |
Lulu's Fashion Lounge Holdings Revenue 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=revenue&ticker=LVLU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=LVLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();