US Fundamentals & Stock Prices | Intrinio
US Fundamentals & Stock Prices
Provided by Intrinio
Description & Pricing
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Powering Fundamental Equity Analysis

The US Fundamental & Stock Prices Data Feed provides the world's most affordable data on US equities. It offers hundreds of data points for over 10,000 stocks, including Market Cap, Gross Margin, Total Revenues, Last Price, Volume, Split Ratio, and more, all accessible via API, Excel, and Google Sheets. It’s all of the data you need to analyze a stock, build a watchlist, or enhance an application with live data about securities. We've priced this data to be disruptively affordable because we know the real value isn't in the data - it's in your analysis. 

Features without rigamarole

Developers, startups, and enterprises using the feed can redistribute the data to their own end users without additional fees. Instant chat support is included with all plans. Individual plans have no contracts and developers can self sign up to avoid pushy salespeople.  With no middlemen between you and the data, human error and data delays won't impact your analysis. 


This data is available via Web API, Excel, Google Sheets, and CSV Download.

  • Basic Company Information
  • Last Stock Price Data
  • Historical Stock Price Data
  • Standardized Financial Statements
  • As-Reported Financial Statements
  • Hundreds of Metrics & Ratios
  • Market Capitalization
  • Historical Time Series Data
  • Pricing Data for 13 Indices
  • Company News
  • Company Filings
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What kind of data is included in the feed?
  • This feed includes as-reported and standardized income statement, balance sheet, and cash flow statement data, latest end of day and historical end of day pricing data, and company news for US companies.
How far back does your history go?
  • Pricing history goes back to early 1970's where applicable.
  • Fundamental history goes back to 2007 (see question #3 for more information).
  • Company news history goes back to 5/2016.
How do you source your data?
  • Fundamental data we source ourselves, scraped directly from the 10-Q and 10-K statements using our machine learning algorithm.
  • Pricing data is sourced from Exchange Data International back to 2007, and from Quote Media prior to 2007.
  • Company news is primarily sourced from Yahoo Finance.
Which companies do you cover in this feed?
  • Our pricing data covers all US securities trading on the major exchanges. It does not include OTC securities. It does include ETFs and ADRs/Foreign Issuers.
  • Our fundamental data and company news covers US based public companies filing a 10-K or 10-Q statement trading on the major US exchanges. It does not cover OTC securities, ETFs, or ADRs/Foreign Issuers.
Do you have more history available prior to 2007 for fundamental data? Why does your history stop there?
  • Our fundamental history corresponds exactly with the SEC mandate that companies file their 10-Q and 10-K statements in XBRL format. XBRL is an electronic file format that our algorithm needs to scrape data from the statements. If a filing is not in XBRL format, we will not have data from it.
  • The SEC mandated that large cap companies begin filing in XBRL in 2009, so we have quarterly fundamental history back to 2009 and yearly history back to 2007 for those.
  • The SEC mandated that mid and small cap companies begin filing in XBRL in 2010, so we have quarterly fundamental history back to 2010 and yearly history back to 2008 for those.
This company just IPO’d but you do not have any fundamental data on it, why not?
  • We will not have fundamental data for a company until they file their first 10-Q or 10-K. Check on the SEC site to see if the company has filed one of those filings.
Which exchanges can I use the exchange prices endpoint with?
  • NYSE (^XNYS), Nasdaq (^XNAS), and BATS (^BATS).
What indices are included in this feed?
My code is returning “nm”. What does that mean?
  • “nm” stands for “not meaningful”. An example is a PE value that is negative for a company. Industry standard does not present negative PE values, so we also do not return them, and instead return a “nm”.

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