Lulu's Fashion Lounge Holdings (LVLU) Shares Outstanding (Entity) (2020 - 2026)
Lulu's Fashion Lounge Holdings (LVLU) posted Shares Outstanding (Entity) of 3.01 million for Q2 2026, up 4.6% from 2.88 million a year earlier and up 0.3% from the prior quarter.
Lulu's Fashion Lounge Holdings (LVLU) Shares Outstanding (Entity) (2020 - 2026) Analysis & Trends
For FY2025, Lulu's Fashion Lounge Holdings' Shares Outstanding (Entity) came in at 2.97 million, up 6.0% from FY2024.
- Annual Shares Outstanding (Entity) has increased for three consecutive years, with a four-year compound annual growth rate of 26.4% (FY2021 to FY2025).
- In prior years, Lulu's Fashion Lounge Holdings' Shares Outstanding (Entity) was 2.8 million in FY2024 (+3.6%), 2.71 million in FY2023 (+3.5%), 2.62 million in FY2022 and 1.16 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Entity) in data going back to Q4 2022.
- On a year-over-year basis, Shares Outstanding (Entity) has increased in each of the last 11 quarters, with growth averaging 4.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Entity) ran from 3.4% in Q2 2025 to 6.0% in Q4 2025.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 3 million (Q1 2026), 2.97 million (Q4 2025) and 2.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.78 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 998.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 561.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 319.67 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 454.29 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 816.17 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 1.10 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.33 Mn |
| 10 | Lulu's Fashion Lounge Holdings | 38.52 Mn | 22.35 Mn | 32.96 Mn | 3.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 3.01 Mn |
| Mar 29, 2026 | 3.00 Mn |
| Dec 28, 2025 | 2.97 Mn |
| Sep 28, 2025 | 2.90 Mn |
| Jun 29, 2025 | 2.88 Mn |
| Mar 30, 2025 | 2.85 Mn |
| Dec 29, 2024 | 2.80 Mn |
| Sep 29, 2024 | 2.79 Mn |
| Jun 30, 2024 | 2.78 Mn |
| Mar 31, 2024 | 2.75 Mn |
| Dec 31, 2023 | 2.71 Mn |
| Oct 1, 2023 | 2.70 Mn |
| Jul 2, 2023 | 2.68 Mn |
| Apr 2, 2023 | 2.65 Mn |
| Jan 1, 2023 | 2.62 Mn |
| Oct 2, 2022 | 2.61 Mn |
| Jul 3, 2022 | 2.60 Mn |
| Apr 3, 2022 | 2.59 Mn |
| Jan 2, 2022 | 1.35 Mn |
| Oct 3, 2021 | 1.16 Mn |
Lulu's Fashion Lounge Holdings Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=LVLU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=LVLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();