Estimize

Estimize is a crowdsourced financial-estimates platform that collects earnings, revenue and macroeconomic forecasts from a global community of more than 130,000 contributors, spanning buy-side, sell-side, independent and amateur analysts^[1].

The company aggregates these inputs into consensus datasets that it markets as more accurate than traditional sell-side consensus, claiming its consensus is closer to actual reported results about 70% of the time. Estimize is owned and operated by ExtractAlpha^[1][2].

What It Does

Estimize gathers per-stock estimates of EPS and revenue, and for some companies additional key performance indicators such as same-store sales, monthly active users or product-segment revenue. Contributors publish anonymously and operate on a give-to-get model: each estimate submitted earns free access to the platform's data for that release^[1].

The platform also crowdsources macroeconomic estimates, extending the approach beyond individual equities^[1].

Data and Methodology

Quality control relies on behavioral and statistical algorithms that monitor contributor behavior and screen out erroneous estimates before they enter the consensus; individual estimates are then weighted through the company's proprietary Select Consensus model^[1].

According to the company, its dataset carries roughly twice as many estimates per earnings release as legacy sell-side-only datasets, wider estimate dispersion and about three times the average number of revisions per estimate, with more than ten years of history^[1].

Products

Access tiers include a free Contributor account, Premium subscriptions for individuals, Premium Plus with API access, and an Institutional tier offering raw data feeds via API and FTP, factor models, daily Excel files and premium support^[1].

Estimize data is also distributed through partner financial platforms including FactSet, Interactive Brokers, ChartIQ, QuantConnect and Wolfe Research, and an embeddable widget provides consensus estimates for U.S. equities on third-party websites^[1].

Buyers and Use Cases

Stated buyers include systematic quantitative hedge funds, fintech developers and academics. Typical uses involve earnings-surprise prediction, post-earnings-announcement drift strategies and factor construction around market expectations^[1].

Independent research has examined the dataset: a Deutsche Bank Markets Research study found Estimize's timelier forecasts could better identify earnings surprises and capture post-earnings drift, while University of Kentucky research found crowdsourced forecasts incrementally useful for measuring market expectations^[1][3].

History and Ownership

The company cites more than a decade of continuous data collection through bull and bear markets, and points to over a dozen published academic papers using its dataset, from institutions including the University of Pennsylvania, Temple University, George Washington University and McKinley Capital Research^[1].

Estimize is currently owned and operated by ExtractAlpha, an alternative-data analytics provider^[1][2].

Landscape

Estimize competes with sell-side consensus providers such as analyst-estimate aggregators within major market-data terminals, differentiating through breadth of non-professional contributors, revision speed and dispersion metrics. Its integration into platforms like FactSet and QuantConnect places it alongside other alternative-data feeds used in quant workflows^[1].