Tapestry (TPR) Shares Outstanding (2009 - 2026)
Tapestry (TPR) recorded Shares Outstanding of 204 million in fiscal Q4 2026 (quarter ended Jun 27, 2026), down 5.9% from 216.8 million a year earlier but up 0.7% from the prior quarter.
Tapestry (TPR) Shares Outstanding (2009 - 2026) Analysis & Trends
Starting with fiscal Q3 2009, Tapestry's Shares Outstanding history includes 70 quarters.
- Annual Shares Outstanding has declined for seven straight fiscal years, with a five-year compound annual growth rate of -6.0% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding came in at 216.8 million in FY2025 (-5.4%), 229.2 million in FY2024 (-3.0%), 236.4 million in FY2023 (-10.6%) and 264.3 million in FY2022 (-4.9%).
- Quarterly Shares Outstanding has ranged from 202.5 million in fiscal Q3 2026 to 278.2 million in fiscal Q1 2022 over the past five years.
- On a year-over-year basis, Shares Outstanding has declined for seven consecutive quarters, with an average decline of 5.4% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding in the last five years was growth of 1.4% in fiscal Q1 2025, against a decline of 13.2% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 202.5 million (Q3 2026), 204.1 million (Q2 2026) and 207.6 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.70 Bn | 21.90 Bn | 4.80 Bn | 1.48 Bn |
| 2 | Tapestry | 23.51 Bn | 19.47 Bn | 1.56 Bn | 204.00 Mn |
| 3 | Ralph Lauren | 22.86 Bn | 14.96 Bn | 1.44 Bn | 60.10 Mn |
| 4 | Deckers Outdoor | 12.32 Bn | 5.19 Bn | - | 144.08 Mn |
| 5 | Lululemon Athletica | 10.92 Bn | 5.17 Bn | 1.46 Bn | 112.90 Mn |
| 6 | Levi Strauss | 8.09 Bn | 4.67 Bn | 1.07 Bn | 386.08 Mn |
| 7 | V F | 6.73 Bn | 3.35 Bn | 917.04 Mn | 392.11 Mn |
| 8 | Gildan Activewear | 6.45 Bn | 5.37 Bn | 459.76 Mn | 160.16 Mn |
| 9 | Birkenstock Holding | 6.04 Bn | 4.36 Bn | 493.89 Mn | 186.51 Mn |
| 10 | Crocs | 5.83 Bn | 5.24 Bn | 700.71 Mn | 49.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 204.00 Mn |
| Mar 28, 2026 | 202.50 Mn |
| Dec 27, 2025 | 204.10 Mn |
| Sep 27, 2025 | 207.60 Mn |
| Jun 28, 2025 | 216.80 Mn |
| Mar 29, 2025 | 207.30 Mn |
| Dec 28, 2024 | 219.90 Mn |
| Sep 28, 2024 | 231.50 Mn |
| Jun 29, 2024 | 229.20 Mn |
| Mar 30, 2024 | 229.50 Mn |
| Dec 30, 2023 | 229.30 Mn |
| Sep 30, 2023 | 228.30 Mn |
| Jul 1, 2023 | 236.40 Mn |
| Apr 1, 2023 | 234.60 Mn |
| Dec 31, 2022 | 239.30 Mn |
| Oct 1, 2022 | 241.50 Mn |
| Jul 2, 2022 | 264.30 Mn |
| Apr 2, 2022 | 259.90 Mn |
| Jan 1, 2022 | 271.10 Mn |
| Oct 2, 2021 | 278.20 Mn |
Tapestry Shares Outstanding 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&ticker=TPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=TPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();