FMP

FMP

Enter

Executive Compensation Benchmark API

Gain access to average executive compensation data across various industries with the FMP Executive Compensation Benchmark API. This API provides essential insights for comparing executive pay by industry, helping you understand compensation trends and benchmarks.

About Executive Compensation Benchmark API

The FMP Executive Compensation Benchmark API is designed to help businesses, analysts, and compensation consultants assess how executive pay compares across industries. It’s ideal for:

  • Industry Benchmarking: Evaluate average executive compensation within specific industries to determine market rates.
  • Compensation Trends: Understand how executive pay varies across different sectors, providing valuable insights for salary negotiations or organizational planning.
  • Competitive Analysis: Compare compensation data by industry to ensure your company remains competitive in attracting top talent.

This API provides a valuable resource for HR professionals, compensation analysts, and business leaders seeking to align executive pay with industry standards.

Example Use Case
An HR professional can use the Executive Compensation Benchmark API to compare the average pay for executives in the technology sector against those in the consumer goods sector, helping to determine competitive salary packages for their company's leadership team.

Executive Compensation Benchmark API Parameters

Query Parameter

Type

Example

year

string

2023

(*) Required

How it works

How-it-works Signup

Get Started: Sign Up Today!

Begin your data journey by signing up and accessing our API endpoints. Get instant access to a vast array of financial data to power your applications and analyses.

How-it-works Free plan

Dive into Data: Free Plan Access

Explore our free data plan and access a wide range of financial data through our API endpoints. Start integrating real-time data into your applications and projects.

How-it-works Upgrade-Premium

Unlock Premium Data: Upgrade Now!

Upgrade to our premium plan for exclusive access to advanced financial datasets via our API endpoints. Take your analyses to the next level and gain a competitive edge in the market.

Related Executive Compensation Benchmark APIs

link-image
Executive Compensation

Retrieve comprehensive compensation data for company executives with the FMP Executive Compensation API. This API provides detailed information on salaries, stock awards, total compensation, and other... Read more

link-image
Batch Market Cap

Retrieve market capitalization data for multiple companies in a single request with the FMP Batch Market Capitalization API. This API allows users to compare the market size of various companies simul... Read more

link-image
Latest Mergers & Acquisitions

Access real-time data on the latest mergers and acquisitions with the FMP Latest Mergers and Acquisitions API. This API provides key information such as the transaction date, company names, and links ... Read more

link-image
Search Mergers & Acquisitions

Search for specific mergers and acquisitions data with the FMP Search Mergers and Acquisitions API. Retrieve detailed information on M&A activity, including acquiring and targeted companies, transacti... Read more

link-image
Company Historical Employee Count

Access historical employee count data for a company based on specific reporting periods. The FMP Company Historical Employee Count API provides insights into how a company’s workforce has evolved over... Read more

Executive Compensation Benchmark API FAQs

How can I quickly receive the sector of a stock?

You can get the sector of a stock by using the Profile API. You can find more information on how to access this data here: https://site.financialmodelingprep.com/developer/docs#company-profile-company-information

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.

Can I retrieve the 15 largest market cap stocks for each sector using the company-screener endpoint?

Currently, you can add the market cap parameter to the company-screener endpoint to filter stocks based on a specific market cap value, but the data will not be returned in sorted order from largest to smallest.

How do I get the industry information of tickers?

You can get this information on the Profile API: https://site.financialmodelingprep.com/developer/docs#company-profile-company-information

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 analyst firms do you support and cover?

Here is a list of Analyst rating Firms we provide coverage for: Alliance Global Partners, Analyst Company, Arete Research, Argus Research, Ascendiant, Atlantic Equities, Autonomous Research, B.Riley Financial, Banco Santander, Bank of America Securities, Barclays, Barrington, Benchmark Co., Berenberg Bank, Bernstein, BlackRock, BMO Capital, BNP Paribas, BOCOM International Holdings Company, Boenning & Scattergood, Bradesco, Bryan Garnier & Co Ltd, BTG Pactual, BTIG, C.L. King, Canaccord Genuity, Cannonball Research, Cantor Fitzgerald, Capital One Financial, CBRE, CFRA, Chardan Capital, China Renaissance Securities (US) Inc., CIBC, Citigroup, CLSA, CMB International Securities, Coker Palmer, Colliers Securities, Compass Point, Cowen & Co., Craig-Hallum, Credit Suisse, Cross Research, D.A. Davidson, Daiwa, Desjardins, Deutsche Bank, DNB Markets, DZ BANK AG, EF Hutton, Eight Capital, Evercore ISI, FBN Securities, Fermium Research, Fox Advisors, Fundamental Research, Gabelli, GLJ Research, Goldman Sachs, Gordon Haskett Capital Corporation, Griffin, Guggenheim, H.C. Wainwright, Hovde Group, HSBC, Independent Research, Industrial Alliance Securities, J.P. Morgan, Janney Montgomery, Jefferies, JMP Securities, Johnson Rice, JonesTrading, KBW, Kempen & Co, Kepler Capital, KeyBanc, KGI Securities, Ladenburg Thalmann & Co., Laidlaw, Lake Street, Langenberg & Co., Leerink Partners, LightShed Partners, Loop Capital Markets, Macquarie, Maxim Group, Melius Research, Mizuho Securities, MKM Partners, MoffettNathanson, Monness, Morgan Stanley, Motley Fool, National Bank, Needham, Neuberger Berman, New Street, Nomura, Norddeutsche Landesbank, Northcoast Research, Northland Securities, Oddo BHF, Odeon Capital Group LLC, Oppenheimer, PI Financial, Piper Sandler, Pivotal Research, R.F. Lafferty, R5 Capital, Raymond James, RBC Capital, Redburn Partners, Robert W. Baird, Rosenblatt Securities, Roth Capital, Scotiabank, Seaport Global, SEB Enskilda, Siebert Williams Shank & Co, SMBC Nikko, Societe Generale, Stephens, Stifel Nicolaus, Summit Redstone Partners, Susquehanna, SVB Securities, TD Securities, Telsey Advisory, Thrivent, Tigress Financial, Truist Financial, Tudor Pickering, UBS, UOB Kay Hian, US Capital Advisors, US Tiger Securities, Veritas Investment Research, Vertical Group, Vertical Research, VTB Capital, Warburg Research, Wedbush, Wells Fargo, Westpark Capital, William Blair, Williams Trading, Wolfe Research

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/

Unlock Premium Financial Insights Today!

Join Financial Modeling Prep now to access real-time data, in-depth analysis, and personalized insights tailored to your financial goals. Stay ahead of the game and make informed decisions with our comprehensive tools and dedicated support. Sign up today and take the first step towards financial success!

Start Your Journey Now!
FMP

FMP

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.
twitterlinkedin
2017-2025 © Financial Modeling Prep