SLB LIMITED/NV (SLB) Key Metrics REST API

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "SLB",
    "central_index_key": "0000087347",
    "registrant_name": "SLB LIMITED/NV",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 2.38,
    "earnings_per_share_forecast": 2.49,
    "price_to_earnings_ratio": 16.1260504201681,
    "forward_price_to_earnings_ratio": 15.4136546184739,
    "earnings_growth_rate": -24.203821656051,
    "price_earnings_to_growth_ratio": -0.666260504201681,
    "book_value_per_share": 19.2054890921886,
    "price_to_book_ratio": 1.99838701403393,
    "ebitda": 7773000000.0,
    "enterprise_value": null,
    "dividend_yield": 0.0297957496775641,
    "dividend_payout_ratio": 0.481624184943687,
    "debt_to_equity_ratio": 0.373128040139416,
    "capital_expenditures": 3178000000.0,
    "free_cash_flow": 3311000000.0,
    "return_on_equity": 0.129227469454977,
    "one_year_beta": 1.10130532634706,
    "three_year_beta": 0.945733747924304,
    "five_year_beta": 0.871293394649736
  },
  ...
]

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.