Lulu's Fashion Lounge Holdings (LVLU) Total Debt (2021 - 2026)
Lulu's Fashion Lounge Holdings (LVLU) posted Total Debt of $10.08 million for Q2 2026, up 75.3% from $5.75 million a year earlier but down 24.4% from the prior quarter.
Lulu's Fashion Lounge Holdings (LVLU) Total Debt (2021 - 2026) Analysis & Trends
At the end of FY2025, Lulu's Fashion Lounge Holdings' Total Debt came in at $14.39 million, up 9.9% from FY2024.
- Annual Total Debt shows a four-year compound annual growth rate of -39.4% (FY2021 to FY2025).
- In prior years, Lulu's Fashion Lounge Holdings' Total Debt was $13.09 million in FY2024 (+57.7%), $8.3 million in FY2023 (-66.8%), $25 million in FY2022 and $106.98 million in FY2021.
- Quarterly Total Debt has run from a low of $5.75 million in Q2 2025 to a high of $25 million in Q4 2022 over five years.
- On a year-over-year basis, Total Debt has increased in each of the last four quarters, with growth averaging 44.0% over the last seven quarters.
- The strongest year-over-year quarter for Total Debt in the past five years was Q2 2026, with growth of 75.3%; the weakest was Q1 2024, with a decline of 70.0%.
- According to Business Quant data, Total Debt for the three prior quarters was $13.33 million (Q1 2026), $14.39 million (Q4 2025) and $18.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 128.89 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 52.90 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 2.87 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 37.56 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 | 15.36 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 7.01 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 5.24 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 9.02 Bn |
| 10 | Lulu's Fashion Lounge Holdings | 35.05 Mn | 18.89 Mn | 32.96 Mn | 10.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 10.08 Mn |
| Mar 29, 2026 | 13.33 Mn |
| Dec 28, 2025 | 14.39 Mn |
| Sep 28, 2025 | 18.40 Mn |
| Jun 29, 2025 | 5.75 Mn |
| Mar 30, 2025 | 10.09 Mn |
| Dec 29, 2024 | 13.09 Mn |
| Sep 29, 2024 | 11.50 Mn |
| Mar 31, 2024 | 6.00 Mn |
| Dec 31, 2023 | 8.30 Mn |
| Oct 1, 2023 | 11.00 Mn |
| Jul 2, 2023 | 15.00 Mn |
| Apr 2, 2023 | 20.00 Mn |
| Jan 1, 2023 | 25.00 Mn |
| Oct 2, 2022 | 15.00 Mn |
| Jul 3, 2022 | 15.00 Mn |
| Apr 3, 2022 | 15.00 Mn |
| Jan 2, 2022 | 25.00 Mn |
| Oct 3, 2021 | 103.39 Mn |
| Jan 3, 2021 | 106.98 Mn |
Lulu's Fashion Lounge Holdings Total Debt 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-debt&ticker=LVLU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=LVLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();