Key Metrics API for M&T BANK CORP (MTB)

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "MTB",
    "central_index_key": "0000036270",
    "registrant_name": "M&T BANK CORP",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 17.1,
    "earnings_per_share_forecast": 19.42,
    "price_to_earnings_ratio": 11.7824561403509,
    "forward_price_to_earnings_ratio": 10.3748712667353,
    "earnings_growth_rate": 16.2474507138001,
    "price_earnings_to_growth_ratio": 0.725187990897746,
    "book_value_per_share": 184.810768012668,
    "price_to_book_ratio": 1.09019621619769,
    "ebitda": 10651000000.0,
    "enterprise_value": 43167655000.0,
    "dividend_yield": 0.0282941859691961,
    "dividend_payout_ratio": 0.315678709224833,
    "debt_to_equity_ratio": 0.447612845734654,
    "capital_expenditures": 247000000.0,
    "free_cash_flow": 2756000000.0,
    "return_on_equity": 0.0977139527710183,
    "one_year_beta": 0.938013691666887,
    "three_year_beta": 1.00955305135699,
    "five_year_beta": 0.936358635645959
  },
  ...
]

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.