The Most Accurate Earnings Estimates Dataset on the Planet

Estimize crowdsources earnings and macroeconomic estimates from over 100,000 contributors across the globe. We welcome anyone to contribute in return for free access to our data and analytics tools, or you can simply pay now to subscribe. 

Learn more below

  • 70% Win Rate

    The Estimize Consensus has been closer to the company's actual reported results 70% of the time compared to legacy sell-side only estimate data sets.

  • 2x Deeper

    More than 2x the number of estimates per earnings release on average, wider estimate dispersion and 3x the average number of revisions per estimate.

  • 8 Years Of Data

    Through bull and bear markets our data set continues to outperform. Its superiority is confirmed in more than a dozen published academic papers.

How the Estimize Platform Works

Estimize is designed to collect opinions from the widest possible range of contributors, while maintaining the highest quality data through advanced behavioral and statistical algorithms.

  • Contribute Anonymously

    Our contributors are a broad mix of buy-side, independent, and sell-side investment professionals, along with amateur analysts, independent investors, and academics. While we do ask which of these categories you belong to, any contributor can choose to remain anonymous as they publish their estimates.

  • Give-to-get

    Contributors gain free access to Estimize data for each earnings release they estimate on. Each stock allows estimation on EPS and Revenue. Some stocks also have a key performance indicator such as same store sales, monthly active users or product segment revenue.

  • Quality Control and Smart Consensus

    Advanced algorithms monitor contributor behavior and assess the validity of each estimate to prevent erroneous data from entering the consensus. Each estimate is then weighted based on our proprietary Select Consensus model.

  • Alerts, Screening, Excel files

    Smart data viz to help you make more informed estimates, automated alerts to leverage the Estimize data for better investment decisions. Advanced screening to find the data you need. Daily Excel file via email. Leaderboards and user profile to track your accuracy.

Subscribe Now For Full Access

Contributor

Access Estimize data for companies you contribute estimates to for FREE
$
0
/ month
$
/year

Subscriber

Full access to data and advanced tools for individuals without contributing estimates
$
325
/ quarter
$
/year

Institutional

Access our raw data feeds and Institutional Research plus scaled pricing
$
TBD
/ month
$
/year
Daily Email Alerts
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Advanced Screening
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Unblinded Access
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Daily Excel Files
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Factor Models
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API/FTP Access
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Premium Support
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Institutional Research (coming soon)
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Contact Us

Industry and Academic Research Into the Estimize Dataset

  • "We found multiple benefits to using the Estimize dataset; especially in the case of short term applications in which accuracy is essential. Timelier Estimize forecasts can more accurately identify earnings surprise which results in a greater capture of the post earnings drift.”

    Yin Luo, Head of Quantitative Research
    Read the full paper here

  • "Estimize enables all four elements of crowd wisdom. By allowing any individual to contribute, Estimize promotes decentralization and diversity of opinion. The freedom to cover any firm allows contributors to draw upon any expertise, special local/industry knowledge, or interest that they may have when forming an estimate."

    Barbara Bliss, Professor of Finance
    Read the full paper here

  • "McKinley Capital has tested whether Estimize estimates provide investable information that is not otherwise available from its competitors. The test results are presented in this paper. Estimize data appears to contain unique and valuable pre-earnings and post-earnings announcement information in a form that can be useful for an institutional equity manager such as McKinley Capital."

    Robert Gillam, President and CIO
    Read its all here

  • "Estimize is a market solution to the inherent bias of sell-side analyst forecasts, which produces more reliable and timely estimates due to its size and diversity. We find evidence that the incremental usefulness of Estimize in forecasting earnings and proxying for the market’s expectation increases with the number of contributors. This illustrates that the value of crowdsourcing is a function of crowd size."

    Rick Johnston, Professor of Finance
    Read the full paper here

API & FTP Data Access

Whether you’re a systematic quantitative hedge fund, the developer of an exciting new fintech app, or an academic looking to do research, you can easily access our historical data files or live API for 30 days to test before you purchase an institutional data license. Visit our institutional data sales page for more details.

...Access to Our Data Through Other Top Financial Platforms

We have partnered with some of the biggest Financial Platforms in the world to make Estimize data available