Lulu's Fashion Lounge Holdings (LVLU) Inventory (2021 - 2026)
Lulu's Fashion Lounge Holdings (LVLU) recorded Inventory of $28.64 million in Q2 2026, down 23.3% from $37.35 million a year earlier and down 13.4% from the prior quarter.
Lulu's Fashion Lounge Holdings (LVLU) Inventory (2021 - 2026) Analysis & Trends
At the end of FY2025, Lulu's Fashion Lounge Holdings reported Inventory of $32.44 million, down 4.7% from FY2024.
- Annual Inventory has declined for three straight years, though with a four-year compound annual growth rate of 17.7% (FY2021 to FY2025).
- Across earlier years, Inventory came in at $34.04 million in FY2024 (-4.0%), $35.47 million in FY2023 (-17.9%), $43.19 million in FY2022 and $16.9 million in FY2021.
- The Q2 2026 figure is the lowest quarterly Inventory in data going back to Q4 2022.
- On a year-over-year basis, Inventory has declined for 11 consecutive quarters, with an average decline of 7.6% over the last eight quarters.
- Across the past five years, year-over-year decline in Inventory ran from 0.1% in Q3 2025 to 23.3% in Q2 2026.
- Per Business Quant, the preceding three quarters came in at $33.08 million (Q1 2026), $32.44 million (Q4 2025) and $38.42 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 3.09 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 13.25 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 5.97 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 3.26 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | - |
| 10 | Lulu's Fashion Lounge Holdings | 35.05 Mn | 18.89 Mn | 32.96 Mn | 28.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 28.64 Mn |
| Mar 29, 2026 | 33.08 Mn |
| Dec 28, 2025 | 32.44 Mn |
| Sep 28, 2025 | 38.42 Mn |
| Jun 29, 2025 | 37.35 Mn |
| Mar 30, 2025 | 39.67 Mn |
| Dec 29, 2024 | 34.04 Mn |
| Sep 29, 2024 | 38.48 Mn |
| Jun 30, 2024 | 37.67 Mn |
| Mar 31, 2024 | 41.27 Mn |
| Dec 31, 2023 | 35.47 Mn |
| Oct 1, 2023 | 41.49 Mn |
| Jul 2, 2023 | 46.23 Mn |
| Apr 2, 2023 | 51.83 Mn |
| Jan 1, 2023 | 43.19 Mn |
| Oct 2, 2022 | 49.42 Mn |
| Jul 3, 2022 | 48.58 Mn |
| Apr 3, 2022 | 42.07 Mn |
| Jan 2, 2022 | 22.18 Mn |
| Oct 3, 2021 | 23.40 Mn |
Lulu's Fashion Lounge Holdings Inventory 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=inventory&ticker=LVLU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=LVLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();