Lulu's Fashion Lounge Holdings (LVLU) Non-Current Assets (2021 - 2026)
Lulu's Fashion Lounge Holdings' Non-Current Assets came in at $43.63 million for Q2 2026, down 11.6% from $49.36 million a year earlier and down 2.9% from the prior quarter.
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Analysis
Lulu's Fashion Lounge Holdings (LVLU) Non-Current Assets (2021 - 2026) Analysis & Trends
At the end of FY2025, Lulu's Fashion Lounge Holdings' Non-Current Assets was $45.72 million, down 19.4% from FY2024.
- Non-Current Assets has declined in each of the last three years, with a four-year compound annual growth rate of -7.4% (FY2021 to FY2025).
- Going back by year, Non-Current Assets was $56.7 million in FY2024 (-41.5%), $96.93 million in FY2023 (-1.3%), $98.19 million in FY2022 and $62.28 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly Non-Current Assets in data going back to Q4 2022.
- Year-over-year, Non-Current Assets has declined for 11 consecutive quarters, with an average decline of 29.1% over the last eight quarters.
- Across the past five years, year-over-year decline in Non-Current Assets ran from 1.3% in Q4 2023 to 46.1% in Q3 2025.
- Business Quant data shows LVLU's Non-Current Assets at $44.94 million (Q1 2026), $45.72 million (Q4 2025) and $47.59 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 846.43 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 71.66 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 21.79 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 32.54 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 8.11 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 40.31 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 10.19 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 6.55 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 11.98 Bn |
| 10 | Lulu's Fashion Lounge Holdings | 35.05 Mn | 18.89 Mn | 32.96 Mn | 43.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 43.63 Mn |
| Mar 29, 2026 | 44.94 Mn |
| Dec 28, 2025 | 45.72 Mn |
| Sep 28, 2025 | 47.59 Mn |
| Jun 29, 2025 | 49.36 Mn |
| Mar 30, 2025 | 51.61 Mn |
| Dec 29, 2024 | 56.70 Mn |
| Sep 29, 2024 | 88.21 Mn |
| Jun 30, 2024 | 90.07 Mn |
| Mar 31, 2024 | 95.41 Mn |
| Dec 31, 2023 | 96.93 Mn |
| Oct 1, 2023 | 97.92 Mn |
| Jul 2, 2023 | 97.10 Mn |
| Apr 2, 2023 | 98.16 Mn |
| Jan 1, 2023 | 98.19 Mn |
| Oct 2, 2022 | 101.45 Mn |
| Jul 3, 2022 | 99.03 Mn |
| Apr 3, 2022 | 97.06 Mn |
| Jan 2, 2022 | 64.68 Mn |
| Oct 3, 2021 | 63.66 Mn |
API Access
Lulu's Fashion Lounge Holdings Non-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=non-current-assets&ticker=LVLU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-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=non-current-assets&ticker=LVLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();