Company Data

I/B/E/S Estimates

An overview of I/B/E/S Estimates

I/B/E/S Estimates is the standard for analyst detail, consensus, comparable actual, aggregates data, company guidance data, and advanced analytics. Founded in 1976, I/B/E/S (Institutional Brokers' Estimate System) gathers and compiles the different estimates made by stock analysts on the future earnings for publicly traded companies.

I/B/E/S Estimates data is displayed at company level, screened with rigorous quality control methods across 23,400+ active companies in 90+ countries, and sourced from over 19,000 analysts.
Estimates Data from over 950+ firms contribute data to I/B/E/S, from the largest global houses to regional and local brokers, with U.S. data back to1976 and international data back to 1987.

StarMine Smart Estimates, Star Mine Analyst Ratings and Predicted Surprises offer analytics not available anywhere else. Our unrivalled history and experience based upon 45+ years of collection expertise provides content for superior insight, research and investment decision making.

Key Facts 

  • Geographical coverage
    Global
  • History
    United States from 1976
    Rest of the World from 1987
  • Data format
    CSV
    HTML
    JSON
    PDF
    Python
    SQL
    Text
    User Interface
    XML
  • Delivery mechanism
    API
    Cloud
    Deployed/Onsite Servers
    Desktop
    Digital Files
    Excel
    FTP
  • Data frequency
    Continuous
    Daily

Features & Benefits

What you get with I/B/E/S Estimates

  • 950+ contributors, across 90+ developed and emerging markets, totaling over 19,000 individual analysts – the most in the industry. Unmatchable history across 60k+ companies back to 1976 for North America, 1987 for other markets.
  • Key Performance Indicators (KPIs) incorporate deep, industry-specific operating metrics into your analysis. KPIs include items such as Same Store Sales for retailers and restaurants, Pharma Drugs Sales for Pharmaceutical Industry and Segment data - available across 15 industries, for 250+ granular metrics. In total I/B/E/S covers 325+ financial data measures.
  • StarMine SmartEstimates® are proven to be a more accurate predictor of future earnings surprises than traditional mean estimates. The patented model is simple but effective – overweight those analysts with strong track records for that company and overweight more recent contributions. StarMine Predicted Surprise acts as a leading indicator to earnings direction.
  • Comparable Actuals adjusted to the consensus mean thus providing a clear information on a beat/miss. Also Restated Actuals give true year-over-year comparability for companies which restated results.
  • Comparable Guidance compares the company’s own view on its future performance against the market view. As Reported Guidance - collected as given by the company, and it includes both quantitative and qualitative (textual) guidance.
  • Macro-Level Views - I/B/E/S Global Aggregates, with over 30 years of history, facilitates top-down analysis in order to better assess potential growth and risk as well as future value across industry, sector, index, country, and region. Our global aggregates, which are calculated at the industry, sector, index, country and regional levels, enhance comparison against peer groups and complement our investment management clients’ workflow.
  • Calculated Long Term Growth (CLTG) is calculated based on the standard CAGR formula on the underlying I/B/E/S EPS, Revenue and FFOPS Mean across I/B/E/S Coverage
  • Jump-to Research links the detailed estimate directly back to the source document – simplifying client workflow and adding transparency.
  • Deep History: Effective back-testing of investment models requires deep historical data. No other supplier can match our history which dates back to 1976 for the US. 45+ years of collection experience, time-tested methodologies and World class QC/Audit systems.
  • Timeliness: Having the fastest access to new and revised estimates is essential to identifying alpha opportunities. Our superior timeliness gives clients the opportunity to act before the market fully factors in new information.

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