Tapestry (TPR) Other Operating Expenses (2018 - 2023)
Tapestry (TPR) recorded Other Operating Expenses of -$1.2 billion in fiscal Q2 2024 (quarter ended Dec 30, 2023), compared with -$1.08 billion a year earlier.
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Analysis
Tapestry (TPR) Other Operating Expenses (2018 - 2023) Analysis & Trends
For FY2022 (ended Jul 2, 2022), Tapestry reported Other Operating Expenses of $3.47 billion, up 11.6% from FY2021.
- Annual Other Operating Expenses has a four-year compound annual growth rate of 2.3% (FY2018 to FY2022).
- Across earlier fiscal years, Other Operating Expenses came in at $3.11 billion in FY2021 (-6.0%), $3.31 billion in FY2020 (+2.4%), $3.23 billion in FY2019 (+1.8%) and $3.18 billion in FY2018.
- The fiscal Q2 2024 figure is the lowest quarterly Other Operating Expenses in data going back to fiscal Q1 2019.
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 |
|---|---|
| Dec 30, 2023 | -1.20 Bn |
| Apr 1, 2023 | -996.70 Mn |
| Dec 31, 2022 | -1.08 Bn |
| Apr 2, 2022 | -955.60 Mn |
| Jun 27, 2020 | 1.70 Bn |
| Mar 28, 2020 | 824.00 Mn |
| Sep 28, 2019 | 12.70 Mn |
| Jun 29, 2019 | 1.60 Bn |
| Mar 30, 2019 | 806.10 Mn |
| Sep 29, 2018 | 4.60 Mn |
API Access
Tapestry Other 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=other-operating-expenses&ticker=TPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=TPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();