Lulu's Fashion Lounge Holdings (LVLU) Total Liabilities (2021 - 2026)
Lulu's Fashion Lounge Holdings (LVLU) posted Total Liabilities of $88.18 million for Q2 2026, down 8.8% from $96.71 million a year earlier and down 12.7% from the prior quarter.
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Analysis
Lulu's Fashion Lounge Holdings (LVLU) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Lulu's Fashion Lounge Holdings' Total Liabilities came in at $86.35 million, down 8.9% from FY2024.
- Annual Total Liabilities shows a four-year compound annual growth rate of -25.1% (FY2021 to FY2025).
- In prior years, Lulu's Fashion Lounge Holdings' Total Liabilities was $94.83 million in FY2024 (+7.2%), $88.49 million in FY2023 (-13.5%), $102.31 million in FY2022 and $274.08 million in FY2021.
- Quarterly Total Liabilities has run from a low of $86.35 million in Q4 2025 to a high of $115.79 million in Q1 2023 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last four quarters, with an average decline of 1.6% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2024, with growth of 7.2%; the weakest was Q4 2023, with a decline of 13.5%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $101.01 million (Q1 2026), $86.35 million (Q4 2025) and $100.82 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 23.70 Bn |
| 10 | Lulu's Fashion Lounge Holdings | 35.05 Mn | 18.89 Mn | 32.96 Mn | 88.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 88.18 Mn |
| Mar 29, 2026 | 101.01 Mn |
| Dec 28, 2025 | 86.35 Mn |
| Sep 28, 2025 | 100.82 Mn |
| Jun 29, 2025 | 96.71 Mn |
| Mar 30, 2025 | 107.79 Mn |
| Dec 29, 2024 | 94.83 Mn |
| Sep 29, 2024 | 109.76 Mn |
| Jun 30, 2024 | 96.54 Mn |
| Mar 31, 2024 | 102.89 Mn |
| Dec 31, 2023 | 88.49 Mn |
| Oct 1, 2023 | 102.64 Mn |
| Jul 2, 2023 | 100.03 Mn |
| Apr 2, 2023 | 115.79 Mn |
| Jan 1, 2023 | 102.31 Mn |
| Oct 2, 2022 | 113.25 Mn |
| Jul 3, 2022 | 109.62 Mn |
| Apr 3, 2022 | 124.42 Mn |
| Jan 2, 2022 | 69.25 Mn |
| Oct 3, 2021 | 301.55 Mn |
API Access
Lulu's Fashion Lounge Holdings Total Liabilities 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=total-liabilities&ticker=LVLU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=LVLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();