Tapestry (TPR) Shares Outstanding (Entity) (2009 - 2026)
Tapestry (TPR) recorded Shares Outstanding (Entity) of 200.4 million in fiscal Q4 2026 (quarter ended Jun 27, 2026), down 3.7% from 208.1 million a year earlier and down 0.9% from the prior quarter.
Tapestry (TPR) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
Starting with fiscal Q3 2009, Tapestry's Shares Outstanding (Entity) history includes 70 quarters.
- Annual Shares Outstanding (Entity) has a five-year compound annual growth rate of -6.4% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding (Entity) came in at 208.1 million in FY2025 (-9.6%), 230.2 million in FY2024 (+1.2%), 227.4 million in FY2023 (-5.7%) and 241.2 million in FY2022 (-13.7%).
- The fiscal Q4 2026 figure is the lowest quarterly Shares Outstanding (Entity) in data going back to fiscal Q3 2009.
- On a year-over-year basis, Shares Outstanding (Entity) has declined for seven consecutive quarters, with an average decline of 5.9% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Entity) in the last five years was growth of 1.7% in fiscal Q1 2025, against a decline of 13.7% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 202.3 million (Q3 2026), 202.7 million (Q2 2026) and 205.7 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.48 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 200.40 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 60.10 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 106.57 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 385.98 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | - |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | - |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 48.10 Mn |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn | 393.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 200.40 Mn |
| Mar 28, 2026 | 202.30 Mn |
| Dec 27, 2025 | 202.70 Mn |
| Sep 27, 2025 | 205.70 Mn |
| Jun 28, 2025 | 208.10 Mn |
| Mar 29, 2025 | 207.70 Mn |
| Dec 28, 2024 | 206.90 Mn |
| Sep 28, 2024 | 233.00 Mn |
| Jun 29, 2024 | 230.20 Mn |
| Mar 30, 2024 | 229.80 Mn |
| Dec 30, 2023 | 229.40 Mn |
| Sep 30, 2023 | 229.20 Mn |
| Jul 1, 2023 | 227.40 Mn |
| Apr 1, 2023 | 231.80 Mn |
| Dec 31, 2022 | 236.00 Mn |
| Oct 1, 2022 | 240.90 Mn |
| Jul 2, 2022 | 241.20 Mn |
| Apr 2, 2022 | 251.80 Mn |
| Jan 1, 2022 | 264.00 Mn |
| Oct 2, 2021 | 275.00 Mn |
Tapestry 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=TPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "TPR", "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=TPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();