Tapestry (TPR) Accumulated Expenses (2009 - 2026)
Tapestry's Accumulated Expenses came in at $754.9 million for fiscal Q4 2026 (quarter ended Jun 27, 2026), up 2.4% from $736.9 million a year earlier and up 13.3% from the prior quarter.
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Analysis
Tapestry (TPR) Accumulated Expenses (2009 - 2026) Analysis & Trends
Going back to fiscal Q4 2009, Tapestry's Accumulated Expenses data covers 69 quarters.
- Accumulated Expenses has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 2.7% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $736.9 million in FY2025 (+12.3%), $656.3 million in FY2024 (+20.0%), $547.1 million in FY2023 (-12.9%) and $628.2 million in FY2022 (-5.0%).
- The five-year range for quarterly Accumulated Expenses is $482.3 million (fiscal Q1 2022) to $821 million (fiscal Q2 2026).
- Year-over-year, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 10.2% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q1 2025 (growth of 45.5%), and the weakest in fiscal Q4 2023 (a decline of 12.9%).
- Business Quant data shows TPR's Accumulated Expenses at $666 million (Q3 2026), $821 million (Q2 2026) and $657.9 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 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 |
| 10 | V F | 5.53 Bn | 2.15 Bn | 917.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 754.90 Mn |
| Mar 28, 2026 | 666.00 Mn |
| Dec 27, 2025 | 821.00 Mn |
| Sep 27, 2025 | 657.90 Mn |
| Jun 28, 2025 | 736.90 Mn |
| Mar 29, 2025 | 584.40 Mn |
| Dec 28, 2024 | 650.00 Mn |
| Sep 28, 2024 | 708.60 Mn |
| Jun 29, 2024 | 656.30 Mn |
| Mar 30, 2024 | 658.90 Mn |
| Dec 30, 2023 | 654.10 Mn |
| Sep 30, 2023 | 487.10 Mn |
| Jul 1, 2023 | 547.10 Mn |
| Apr 1, 2023 | 495.40 Mn |
| Dec 31, 2022 | 594.20 Mn |
| Oct 1, 2022 | 489.80 Mn |
| Jul 2, 2022 | 628.20 Mn |
| Apr 2, 2022 | 536.60 Mn |
| Jan 1, 2022 | 643.00 Mn |
| Oct 2, 2021 | 482.30 Mn |
API Access
Tapestry Accumulated Expenses 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=accumulated-expenses&ticker=TPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=TPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();