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Financial Scores API

Assess a company's financial strength using the Financial Health Scores API. This API provides key metrics such as the Altman Z-Score and Piotroski Score, giving users insights into a company’s overall financial health and stability.

About Financial Scores API

The Financial Health Scores API offers a detailed evaluation of a company's financial stability by calculating various scores and metrics. This API is ideal for:

  • Bankruptcy Risk Analysis: Use the Altman Z-Score to assess the likelihood of a company facing financial distress.
  • Profitability and Efficiency Evaluation: The Piotroski Score helps determine a company’s financial strength by measuring profitability and operational efficiency.
  • Working Capital Management: Track changes in working capital to understand how a company manages its short-term assets and liabilities.
  • Leverage and Capital Structure: Assess the relationship between a company’s total liabilities and market capitalization to evaluate its financial leverage.

This API is a powerful tool for investors and analysts who need to evaluate the financial strength of a company to make informed decisions.

Example Use Case
A financial analyst uses the Financial Health Scores API to check Apple’s Altman Z-Score and Piotroski Score before recommending it as a stable investment to clients.

Financial Scores API Parameters

Query Parameter

Type

Example

symbol*

string

AAPL

limit

number

10

(*) Required

How it works

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Financial Scores API FAQs

Is the financial scores data provided by the /stable/financial-scores endpoint based on 10-K data or 10-Q data?

The financial scores data provided by the /stable/financial-scores endpoint is based on 6/8-K data until the 10-Q/K data gets released, at which point it overrides the previous data.

What is the source of the Environmental, Social, and Governance (ESG) ratings and scores data?

We source our ESG data from company filings where we apply NLP to extract those keywords: -Social = 'Accident, (Adult AND entertainment), Alcohol, Anti-personnel, Behavior, Charity, (Child AND Labor), Community, Controversial, Controversy, Discrimination, Gambling, Health, Human capital, Human rights, Inclusion, Injury, Labor, Munitions, Opposition, Pay, Philanthropic, Quality, Responsible.' -Environment = 'Biodiversity, Carbon, Cleantech, Clean, Climate, Coal, Conservation, Ecosystem, Emission, Energy, Fuel, Green, Land, Natural, Pollution, (Raw AND materials), Renewable, Resources, Sustainability, Sustainable, Toxic, Waste, Water.' -Governance = 'Advocacy, Bribery, Compensation, Competitive, Corruption, (Data AND breach), Divestment, Fraud, (Global AND Compact), GRI, (Global AND Reporting AND Initiative), Independent, Justice, Stability, Stewardship, Transparency.' Those are the key concepts that we extract from the statements to create the score. We then, with NLP, create the sentiment score to finally create a ranking score. We have developed our methodology based on available frameworks. We also compare each company to the industry benchmark to be able to rank ESG companies compared to their peers. For the bounds of the rating, a score of 0 is the worst and 100 is the best, so a 50 would be average. You can read more here https://site.financialmodelingprep.com/developer/docs/esg-score-api/

How are companies scored in your company ratings?

Companies are scored based on a quintile ranking within their respective industry and sector. The scoring within the brackets is weighted by the industry and the sector, and split into quintiles based on their relative score.

What is the quality of FMP data?

Quality data is key to making accurate, informed decisions. It is our main focus to deliver the most accurate financial data to our users.

I noticed errors in the financial data for certain companies. How do I report this?

If you notice any errors in the financial data for specific companies, please send an email to info@financialmodelingprep.com with the full details about the issue. Our development team will investigate and address the issue accordingly.

How many symbols does Financial Modeling Prep provide data for?

We currently cover over 80,000 symbols globally, and are continually working to expand our coverage

Do you offer a deeper history of financial data beyond the 4-year income statements available for free users?

Yes, we do offer a deeper history of financial data beyond the 4-year income statements available for free users. For more information on the depth of historical data available and which subscription plan provides access to it, please contact our sales team using the following link: https://site.financialmodelingprep.com/enterprise-contact

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Financial Modeling Prep API provides real time stock price, company financial statements, major index prices, stock historical data, forex real time rate and cryptocurrencies. Financial Modeling Prep stock price API is in real time, the company reports can be found in quarter or annual format, and goes back 30 years in history.
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