Lulu's Fashion Lounge Holdings (LVLU) Depreciation and Depletion (2020 - 2023)
Lulu's Fashion Lounge Holdings' Depreciation and Depletion came in at $3.2 million for FY2025, down 5.9% from $3.4 million in FY2024.
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Analysis
Lulu's Fashion Lounge Holdings (LVLU) Depreciation and Depletion (2020 - 2023) Analysis & Trends
Going back to FY2019, Lulu's Fashion Lounge Holdings' Depreciation and Depletion data covers 6 years.
- Depreciation and Depletion carries a four-year compound annual growth rate of 20.9% (FY2021 to FY2025).
- The five-year range for annual Depreciation and Depletion is $1.5 million (FY2021) to $3.4 million (FY2024).
- Per Business Quant, earlier years put Depreciation and Depletion at $3.4 million in FY2024 (+17.2%), $2.9 million in FY2023 (+20.8%), $2.4 million in FY2022 and $1.5 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 13.87 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 339.00 Mn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | - |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | - |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | - |
| 10 | Lulu's Fashion Lounge Holdings | 41.53 Mn | 25.36 Mn | 32.96 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 1, 2023 | 1.50 Mn |
| Apr 3, 2022 | 400,000.00 |
| Oct 3, 2021 | 300,000.00 |
| Apr 4, 2021 | 300,000.00 |
| Jan 3, 2021 | 300,000.00 |
| Sep 27, 2020 | 400,000.00 |
API Access
Lulu's Fashion Lounge Holdings Depreciation and Depletion 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=depreciation-and-depletion&ticker=LVLU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=LVLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();