TAPESTRY, INC. (TPR) Key Metrics REST API

• cURL
• Python
• JavaScript

curl "https://financialdata.net/api/v1/key-metrics?identifier=TPR&key=API_KEY"

import requests

                                                url = 'https://financialdata.net/api/v1/key-metrics?identifier=TPR&key=API_KEY'    
                                                response = requests.get(url)

                                                print(response.json())
                                            

const url = 'https://financialdata.net/api/v1/key-metrics?identifier=TPR&key=API_KEY';
                                            
                                                const response = await fetch(url);
                                                const data = await response.json();

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "TPR",
    "central_index_key": "0001116132",
    "registrant_name": "TAPESTRY, INC.",
    "fiscal_year": "2026",
    "period_end_date": "2026-06-27",
    "earnings_per_share": 7.49,
    "earnings_per_share_forecast": 7.94,
    "price_to_earnings_ratio": 19.4926568758344,
    "forward_price_to_earnings_ratio": 18.3879093198992,
    "earnings_growth_rate": 791.666666666667,
    "price_earnings_to_growth_ratio": 0.0246223034221067,
    "book_value_per_share": 3.39264705882353,
    "price_to_book_ratio": 43.0342436064153,
    "ebitda": 2008500000.0,
    "enterprise_value": 31188300000.0,
    "dividend_yield": 0.0109488315874295,
    "dividend_payout_ratio": 0.213458139687111,
    "debt_to_equity_ratio": 3.43736454269614,
    "capital_expenditures": 173400000.0,
    "free_cash_flow": 1805100000.0,
    "return_on_equity": 2.20733997977171,
    "one_year_beta": 1.40045831252876,
    "three_year_beta": 1.1991457989372,
    "five_year_beta": 1.27794088593625
  },
  ...
]

The API endpoint returns key financial metrics such as price-to-earnings ratio, price-to-book ratio, free cash flow, etc. This information is particularly important for value investors looking to identify undervalued stocks. Data is available for several thousand US and international companies.