Lulu's Fashion Lounge Holdings (LVLU) Property, Plant & Equipment (Net) (2021 - 2026)
Lulu's Fashion Lounge Holdings' Property, Plant & Equipment (Net) was $1.85 million in Q2 2026, down 38.7% from $3.03 million a year earlier and down 10.4% from the prior quarter.
Lulu's Fashion Lounge Holdings (LVLU) Property, Plant & Equipment (Net) (2021 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Lulu's Fashion Lounge Holdings came in at $2.31 million, down 36.5% from FY2024.
- Property, Plant & Equipment (Net) shows a four-year compound annual growth rate of -7.0% (FY2021 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $3.64 million in FY2024 (-22.7%), $4.71 million in FY2023 (+7.3%), $4.39 million in FY2022 and $3.09 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2022.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for eight straight quarters, with an average decline of 30.1% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q2 2024 (growth of 13.5%); the worst was Q1 2026 (a decline of 39.5%).
- Per Business Quant data, LVLU's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $2.07 million (Q1 2026), $2.31 million (Q4 2025) and $2.65 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 446.05 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 28.15 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 8.57 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 18.28 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.26 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 34.77 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.86 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 6.55 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 7.80 Bn |
| 10 | Lulu's Fashion Lounge Holdings | 41.08 Mn | 24.91 Mn | 32.96 Mn | 1.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.85 Mn |
| Mar 29, 2026 | 2.07 Mn |
| Dec 28, 2025 | 2.31 Mn |
| Sep 28, 2025 | 2.65 Mn |
| Jun 29, 2025 | 3.03 Mn |
| Mar 30, 2025 | 3.42 Mn |
| Dec 29, 2024 | 3.64 Mn |
| Sep 29, 2024 | 4.38 Mn |
| Jun 30, 2024 | 4.69 Mn |
| Mar 31, 2024 | 4.69 Mn |
| Dec 31, 2023 | 4.71 Mn |
| Oct 1, 2023 | 4.44 Mn |
| Jul 2, 2023 | 4.13 Mn |
| Apr 2, 2023 | 4.32 Mn |
| Jan 1, 2023 | 4.39 Mn |
| Oct 2, 2022 | 4.00 Mn |
| Jul 3, 2022 | 4.03 Mn |
| Apr 3, 2022 | 3.89 Mn |
| Jan 2, 2022 | 3.23 Mn |
| Oct 3, 2021 | 2.75 Mn |
Lulu's Fashion Lounge Holdings Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=LVLU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=LVLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();