Lulu's Fashion Lounge Holdings (LVLU) Current Assets (2021 - 2026)
Lulu's Fashion Lounge Holdings' Current Assets was $43.05 million in Q2 2026, down 16.6% from $51.6 million a year earlier and down 22.5% from the prior quarter.
Lulu's Fashion Lounge Holdings (LVLU) Current Assets (2021 - 2026) Analysis & Trends
At the end of FY2025, Current Assets at Lulu's Fashion Lounge Holdings came in at $43.65 million, down 15.2% from FY2024.
- Current Assets has now declined for three consecutive years, though with a four-year compound annual growth rate of 0.5% (FY2021 to FY2025).
- In earlier years, Current Assets was $51.5 million in FY2024 (-1.9%), $52.52 million in FY2023 (-23.9%), $69.02 million in FY2022 and $42.8 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Current Assets in data going back to Q4 2022.
- Compared with a year earlier, Current Assets has declined for 11 straight quarters, with an average decline of 9.5% over the last eight quarters.
- The year-over-year decline in Current Assets has ranged between 1.9% (Q4 2024) and 23.9% (Q4 2023) over the last five years.
- Per Business Quant data, LVLU's Current Assets in the three quarters before Q2 2026 was $55.55 million (Q1 2026), $43.65 million (Q4 2025) and $55.76 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 249.26 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 37.72 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 15.33 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 23.34 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 7.88 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 20.93 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 7.20 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 8.01 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 8.93 Bn |
| 10 | Lulu's Fashion Lounge Holdings | 35.05 Mn | 18.89 Mn | 32.96 Mn | 43.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 43.05 Mn |
| Mar 29, 2026 | 55.55 Mn |
| Dec 28, 2025 | 43.65 Mn |
| Sep 28, 2025 | 55.76 Mn |
| Jun 29, 2025 | 51.60 Mn |
| Mar 30, 2025 | 62.73 Mn |
| Dec 29, 2024 | 51.50 Mn |
| Sep 29, 2024 | 65.32 Mn |
| Jun 30, 2024 | 55.19 Mn |
| Mar 31, 2024 | 65.22 Mn |
| Dec 31, 2023 | 52.52 Mn |
| Oct 1, 2023 | 69.46 Mn |
| Jul 2, 2023 | 67.60 Mn |
| Apr 2, 2023 | 81.40 Mn |
| Jan 1, 2023 | 69.02 Mn |
| Oct 2, 2022 | 78.71 Mn |
| Jul 3, 2022 | 73.02 Mn |
| Apr 3, 2022 | 81.14 Mn |
| Jan 2, 2022 | 49.09 Mn |
| Oct 3, 2021 | 81.59 Mn |
Lulu's Fashion Lounge Holdings Current Assets 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=current-assets&ticker=LVLU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-assets", "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=current-assets&ticker=LVLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();