Key Metrics API for MORGAN STANLEY (MS)

• cURL
• Python
• JavaScript

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

import requests

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

                                                print(response.json())
                                            

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

                                                console.log(data);
                                            

[
  {
    "trading_symbol": "MS",
    "central_index_key": "0000895421",
    "registrant_name": "MORGAN STANLEY",
    "fiscal_year": "2025",
    "period_end_date": "2025-12-31",
    "earnings_per_share": 10.32,
    "earnings_per_share_forecast": 12.66,
    "price_to_earnings_ratio": 17.202519379845,
    "forward_price_to_earnings_ratio": 14.022906793049,
    "earnings_growth_rate": 28.3582089552239,
    "price_earnings_to_growth_ratio": 0.606615157078743,
    "book_value_per_share": 71.5705209656925,
    "price_to_book_ratio": 2.4804905372297,
    "ebitda": 35069000000.0,
    "enterprise_value": 642886220000.0,
    "dividend_yield": 0.021998179021732,
    "dividend_payout_ratio": 0.364569124013997,
    "debt_to_equity_ratio": 3.29579332091157,
    "capital_expenditures": null,
    "free_cash_flow": null,
    "return_on_equity": 0.151040920166261,
    "one_year_beta": 1.30428285640445,
    "three_year_beta": 1.21893901838749,
    "five_year_beta": 1.13057743935297
  },
  ...
]

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.