Lululemon Athletica (LULU) Shares Outstanding (Entity) (2009 - 2026)
Lululemon Athletica (LULU) recorded Shares Outstanding (Entity) of 106.57 million in fiscal Q2 2027 (quarter ended Aug 2, 2026), down 6.4% from 113.83 million a year earlier and down 2.5% from the prior quarter.
Lululemon Athletica (LULU) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2026 (ended Feb 1, 2026), Lululemon Athletica reported Shares Outstanding (Entity) of 111.38 million, down 4.1% from FY2025.
- Annual Shares Outstanding (Entity) has declined for five straight fiscal years, with a five-year compound annual growth rate of -2.3% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding (Entity) came in at 116.17 million in FY2025 (-4.1%), 121.11 million in FY2024 (-0.9%), 122.21 million in FY2023 (-0.9%) and 123.3 million in FY2022 (-1.5%).
- The fiscal Q2 2027 figure is the lowest quarterly Shares Outstanding (Entity) in data going back to fiscal Q2 2010.
- On a year-over-year basis, Shares Outstanding (Entity) has declined for 21 consecutive quarters, with an average decline of 4.4% over the last eight quarters.
- Over the past five years, the year-over-year decline in Shares Outstanding (Entity) ranged from 0.5% (fiscal Q1 2024) to 6.4% (fiscal Q2 2027).
- Per Business Quant, the preceding three fiscal quarters came in at 109.31 million (Q1 2027), 111.38 million (Q4 2026) and 112.79 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.20 Bn | 21.40 Bn | 4.80 Bn | 1.48 Bn |
| 2 | Tapestry | 23.95 Bn | 19.91 Bn | 1.56 Bn | 200.40 Mn |
| 3 | Ralph Lauren | 22.95 Bn | 15.05 Bn | 1.44 Bn | 60.10 Mn |
| 4 | Deckers Outdoor | 12.57 Bn | 5.44 Bn | - | - |
| 5 | Lululemon Athletica | 11.02 Bn | 5.27 Bn | 1.46 Bn | 106.57 Mn |
| 6 | Levi Strauss | 7.96 Bn | 4.54 Bn | 1.07 Bn | 386.08 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 393.12 Mn |
| 8 | Gildan Activewear | 6.57 Bn | 5.49 Bn | 459.76 Mn | - |
| 9 | Birkenstock Holding | 6.13 Bn | 4.46 Bn | 493.89 Mn | - |
| 10 | Crocs | 5.91 Bn | 5.32 Bn | 700.71 Mn | 48.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 106.57 Mn |
| May 3, 2026 | 109.31 Mn |
| Feb 1, 2026 | 111.38 Mn |
| Nov 2, 2025 | 112.79 Mn |
| Aug 3, 2025 | 113.83 Mn |
| May 4, 2025 | 114.91 Mn |
| Feb 2, 2025 | 116.17 Mn |
| Oct 27, 2024 | 117.05 Mn |
| Jul 28, 2024 | 118.61 Mn |
| Apr 28, 2024 | 120.47 Mn |
| Jan 28, 2024 | 121.11 Mn |
| Oct 29, 2023 | 121.12 Mn |
| Jul 30, 2023 | 121.61 Mn |
| Apr 30, 2023 | 122.10 Mn |
| Jan 29, 2023 | 122.21 Mn |
| Oct 30, 2022 | 122.32 Mn |
| Jul 31, 2022 | 122.33 Mn |
| May 1, 2022 | 122.73 Mn |
| Jan 30, 2022 | 123.30 Mn |
| Oct 31, 2021 | 124.14 Mn |
Lululemon Athletica 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=LULU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "LULU", "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=LULU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();