Lulu's Fashion Lounge Holdings (LVLU) Non-Current Debt (2021 - 2023)
Lulu's Fashion Lounge Holdings (LVLU) reported Non-Current Debt of $300,000 for Q4 2023, down 98.8% from $25 million a year earlier and down 97.3% from the prior quarter.
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Analysis
Lulu's Fashion Lounge Holdings (LVLU) Non-Current Debt (2021 - 2023) Analysis & Trends
Dating back to Q4 2022, Lulu's Fashion Lounge Holdings' Non-Current Debt record includes 5 quarters.
- By year, Non-Current Debt came in at $25 million in FY2022 and $96.86 million in FY2021.
- Per Business Quant data, the three quarters before Q4 2023 came in at $11 million (Q3 2023), $15 million (Q2 2023) and $20 million (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,798.22 Bn | 2,314.91 Bn | 104.83 Bn | 128.89 Bn |
| 2 | Home Depot | 311.18 Bn | 304.42 Bn | 16.12 Bn | 43.95 Bn |
| 3 | Tjx Companies | 161.60 Bn | 139.15 Bn | 5.07 Bn | 1.87 Bn |
| 4 | Lowes Companies | 109.39 Bn | 102.35 Bn | 8.58 Bn | 35.20 Bn |
| 5 | Ross Stores | 74.55 Bn | 57.48 Bn | 2.12 Bn | 777.05 Mn |
| 6 | O Reilly Automotive | 73.50 Bn | 72.59 Bn | 2.52 Bn | 7.01 Bn |
| 7 | Target | 69.66 Bn | 64.25 Bn | 8.94 Bn | 14.22 Bn |
| 8 | Autozone | 51.58 Bn | 50.48 Bn | 2.52 Bn | 9.02 Bn |
| 9 | Carvana | 43.37 Bn | 33.86 Bn | 1.38 Bn | 4.85 Bn |
| 10 | Lulu's Fashion Lounge Holdings | 32.08 Mn | 15.92 Mn | 32.96 Mn | 130.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 300,000.00 |
| 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 |
| Jan 3, 2021 | 96.86 Mn |
API Access
Lulu's Fashion Lounge Holdings Non-Current 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=non-current-debt&ticker=LVLU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=LVLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();