Tapestry (TPR) Operating Expenses (2009 - 2026)
Tapestry's Operating Expenses came in at $1.12 billion for fiscal Q4 2026 (quarter ended Jun 27, 2026), up 7.4% from $1.04 billion a year earlier and up 6.9% from the prior quarter.
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Analysis
Tapestry (TPR) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 27, 2026), Tapestry's Operating Expenses was $4.31 billion, up 7.4% from FY2025.
- Operating Expenses has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 6.7% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $4.02 billion in FY2025 (+7.2%), $3.75 billion in FY2024 (+5.8%), $3.54 billion in FY2023 (+2.0%) and $3.47 billion in FY2022 (+11.6%).
- The five-year range for quarterly Operating Expenses is -$154.2 million (fiscal Q2 2024) to $1.17 billion (fiscal Q2 2026).
- Year-over-year, Operating Expenses has increased for six consecutive quarters, with growth averaging 7.1% over the last seven quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q2 2022 (growth of 26.8%), and the weakest in fiscal Q4 2022 (a decline of 3.9%).
- Business Quant data shows TPR's Operating Expenses at $1.05 billion (Q3 2026), $1.17 billion (Q2 2026) and $972.3 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 4.08 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 1.12 Bn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 1.10 Bn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 1.01 Bn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 856.90 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 283.86 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | -37.80 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 415.03 Mn |
| 10 | V F | 5.67 Bn | 2.29 Bn | 917.04 Mn | 1.75 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.12 Bn |
| Mar 28, 2026 | 1.05 Bn |
| Dec 27, 2025 | 1.17 Bn |
| Sep 27, 2025 | 972.30 Mn |
| Jun 28, 2025 | 1.04 Bn |
| Mar 29, 2025 | 952.10 Mn |
| Dec 28, 2024 | 1.14 Bn |
| Sep 28, 2024 | 882.90 Mn |
| Jun 29, 2024 | 956.20 Mn |
| Mar 30, 2024 | 903.10 Mn |
| Dec 30, 2023 | -154.20 Mn |
| Sep 30, 2023 | 844.50 Mn |
| Jul 1, 2023 | 899.10 Mn |
| Apr 1, 2023 | -124.70 Mn |
| Dec 31, 2022 | -104.70 Mn |
| Oct 1, 2022 | 800.30 Mn |
| Jul 2, 2022 | 870.70 Mn |
| Apr 2, 2022 | -120.00 Mn |
| Jan 1, 2022 | 994.60 Mn |
| Oct 2, 2021 | 773.70 Mn |
API Access
Tapestry Operating 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=operating-expenses&ticker=TPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=TPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();