NEW Estimize Institutional-Grade Earnings Estimates Data

Uncover the market鈥檚 crowdsourced consensus with Estimize data

Data Features

  • 100,000+ contributions to Estimize
  • EPS and revenue estimate coverage on 2,000+ stocks, multiple company-specific KPIs, and 85 economic indicators each quarter
  • Crowdsourced consensus represents the market鈥檚 true consensus
  • 70% higher accuracy for sell side datasets

Use Cases

  • Predict earnings and revenues
  • Analyze detailed individual estimates and revisions per contributor
  • Assess mean and weighted consensus time series
  • Access a wider more honest dispersion of estimates for each earnings release
  • Uncover the market鈥檚 real expectations

Research Using Estimize Data


Zhi Da, Xing Huang (Michigan State University)


Russell Jame (University of Kentucky), Rick Johnston, Stanimir Markov (University of Texas at Dallas), Michael C. Wolfe (Oklahoma State University)

Coverage

US listed equities and ADRs

  • EPS/Revenue since 2012 (point-in-time)
  • KPIs (stock / industry specific)

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