T-Mobile US, Inc. (TMUS) Key Metrics REST API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "TMUS",
    "central_index_key": "0001283699",
    "registrant_name": "T-Mobile US, Inc.",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 9.75,
    "earnings_per_share_forecast": 11.09,
    "price_to_earnings_ratio": 20.8246153846154,
    "forward_price_to_earnings_ratio": 18.3083859332732,
    "earnings_growth_rate": 0.515463917525771,
    "price_earnings_to_growth_ratio": 40.399753846154,
    "book_value_per_share": 52.4856573630399,
    "price_to_book_ratio": 3.86848541489316,
    "ebitda": 24951000000.0,
    "enterprise_value": 314844942017.92,
    "dividend_yield": 0.018513186596426,
    "dividend_payout_ratio": 0.385735080058224,
    "debt_to_equity_ratio": 1.5441278313599,
    "capital_expenditures": 13308000000.0,
    "free_cash_flow": 14642000000.0,
    "return_on_equity": 0.18566626691215,
    "one_year_beta": 0.235904124984423,
    "three_year_beta": 0.277245609840025,
    "five_year_beta": 0.51259404319641
  },
  ...
]

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.