EMCOR Group, Inc. (EME) Key Metrics API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "EME",
    "central_index_key": "0000105634",
    "registrant_name": "EMCOR Group, Inc.",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 28.3,
    "earnings_per_share_forecast": 32.98,
    "price_to_earnings_ratio": 21.6180212014134,
    "forward_price_to_earnings_ratio": 18.550333535476,
    "earnings_growth_rate": 30.9578898658029,
    "price_earnings_to_growth_ratio": 0.698304092918601,
    "book_value_per_share": 81.6987387561391,
    "price_to_book_ratio": 7.48836529565187,
    "ebitda": 1835629000.0,
    "enterprise_value": null,
    "dividend_yield": 0.00163603394312755,
    "dividend_payout_ratio": 0.0353727205089184,
    "debt_to_equity_ratio": null,
    "capital_expenditures": 113156000.0,
    "free_cash_flow": 1188907000.0,
    "return_on_equity": 0.346444311617161,
    "one_year_beta": 1.39130357846563,
    "three_year_beta": 1.26149151623094,
    "five_year_beta": 1.0601008739979
  },
  ...
]

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.