Tapestry (TPR) Operating Income (2009 - 2026)
Tapestry's Operating Income came in at $442.3 million for fiscal Q4 2026 (quarter ended Jun 27, 2026), compared with -$583.5 million a year earlier and up 3.5% from the prior quarter.
Powered by 
Analysis
Tapestry (TPR) Operating Income (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 27, 2026), Tapestry's Operating Income was $1.91 billion, up 361.3% from FY2025.
- Operating Income carries a five-year compound annual growth rate of 14.6% (FY2021 to FY2026).
- Going back by fiscal year, Operating Income was $415 million in FY2025 (-63.6%), $1.14 billion in FY2024 (-2.8%), $1.17 billion in FY2023 (-0.3%) and $1.18 billion in FY2022 (+21.5%).
- The five-year range for quarterly Operating Income is -$583.5 million (fiscal Q4 2025) to $716.4 million (fiscal Q2 2026).
- Year-over-year, Operating Income increased in five of the last six quarters, with growth averaging 29.7%.
- The fastest year-over-year change in Operating Income over five years came in fiscal Q3 2026 (growth of 68.5%), and the weakest in fiscal Q4 2024 (a decline of 14.1%).
- Business Quant data shows TPR's Operating Income at $427.5 million (Q3 2026), $716.4 million (Q2 2026) and $328.2 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.94 Bn | 19.93 Bn | 5.39 Bn | 1.31 Bn |
| 2 | Tapestry | 22.74 Bn | 18.69 Bn | 1.56 Bn | 442.30 Mn |
| 3 | Ralph Lauren | 21.47 Bn | 13.57 Bn | 1.44 Bn | 342.40 Mn |
| 4 | Deckers Outdoor | 11.15 Bn | 4.02 Bn | - | - |
| 5 | Lululemon Athletica | 10.72 Bn | 4.97 Bn | 1.46 Bn | 453.65 Mn |
| 6 | Levi Strauss | 7.64 Bn | 4.29 Bn | 979.10 Mn | 122.20 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 175.90 Mn |
| 8 | Birkenstock Holding | 6.06 Bn | 4.37 Bn | 493.89 Mn | 236.02 Mn |
| 9 | Crocs | 5.89 Bn | 5.30 Bn | 700.71 Mn | 285.68 Mn |
| 10 | V F | 5.67 Bn | 2.29 Bn | 917.04 Mn | -83.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 442.30 Mn |
| Mar 28, 2026 | 427.50 Mn |
| Dec 27, 2025 | 716.40 Mn |
| Sep 27, 2025 | 328.20 Mn |
| Jun 28, 2025 | -583.50 Mn |
| Mar 29, 2025 | 253.70 Mn |
| Dec 28, 2024 | 492.80 Mn |
| Sep 28, 2024 | 252.00 Mn |
| Jun 29, 2024 | 235.00 Mn |
| Mar 30, 2024 | 204.30 Mn |
| Dec 30, 2023 | 447.60 Mn |
| Sep 30, 2023 | 253.20 Mn |
| Jul 1, 2023 | 273.60 Mn |
| Apr 1, 2023 | 226.30 Mn |
| Dec 31, 2022 | 418.20 Mn |
| Oct 1, 2022 | 254.30 Mn |
| Jul 2, 2022 | 248.50 Mn |
| Apr 2, 2022 | 169.50 Mn |
| Jan 1, 2022 | 462.80 Mn |
| Oct 2, 2021 | 295.00 Mn |
API Access
Tapestry Operating Income 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-income&ticker=TPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=TPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();