Lulu's Fashion Lounge Holdings (LVLU) Shares Outstanding (Diluted) (2020 - 2026)
Lulu's Fashion Lounge Holdings' Shares Outstanding (Diluted) came in at 2.86 million for Q2 2026, up 2.9% from 2.78 million a year earlier and up 0.9% from the prior quarter.
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Analysis
Lulu's Fashion Lounge Holdings (LVLU) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Lulu's Fashion Lounge Holdings' Shares Outstanding (Diluted) was 2.8 million, up 1.3% from FY2024.
- Shares Outstanding (Diluted) has increased in each of the last three years, with a four-year compound annual growth rate of 24.5% (FY2021 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 2.76 million in FY2024 (+4.0%), 2.66 million in FY2023 (+2.6%), 2.59 million in FY2022 and 1.16 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Shares Outstanding (Diluted) in data going back to Q4 2022.
- Year-over-year, Shares Outstanding (Diluted) has increased for three consecutive quarters, with growth averaging 2.5% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q1 2025 (growth of 6.2%), and the weakest in Q3 2025 (a decline of 0.9%).
- Business Quant data shows LVLU's Shares Outstanding (Diluted) at 2.84 million (Q1 2026), 2.8 million (Q4 2025) and 2.76 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.90 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 996.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.12 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 560.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 319.45 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 456.60 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 828.88 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 739.96 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.85 Mn |
| 10 | Lulu's Fashion Lounge Holdings | 38.52 Mn | 22.35 Mn | 32.96 Mn | 2.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 2.86 Mn |
| Mar 29, 2026 | 2.84 Mn |
| Dec 28, 2025 | 2.80 Mn |
| Sep 28, 2025 | 2.76 Mn |
| Jun 29, 2025 | 2.78 Mn |
| Mar 30, 2025 | 2.79 Mn |
| Dec 29, 2024 | 2.76 Mn |
| Sep 29, 2024 | 2.78 Mn |
| Jun 30, 2024 | 2.76 Mn |
| Mar 31, 2024 | 2.63 Mn |
| Dec 31, 2023 | 2.66 Mn |
| Oct 1, 2023 | 2.67 Mn |
| Jul 2, 2023 | 2.65 Mn |
| Apr 2, 2023 | 2.62 Mn |
| Jan 1, 2023 | 2.59 Mn |
| Oct 2, 2022 | 2.59 Mn |
| Jul 3, 2022 | 2.60 Mn |
| Apr 3, 2022 | 2.56 Mn |
| Jan 2, 2022 | 1.35 Mn |
| Oct 3, 2021 | 1.16 Mn |
API Access
Lulu's Fashion Lounge Holdings Shares Outstanding (Diluted) 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-diluted&ticker=LVLU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=LVLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();