AnalytixInsight Grows Company Analysis

New York-based startup AnalytixInsight, a provider of web-based fundamental analysis and stock screening tools, is planning to expand the scope of its analysis to new asset classes and data types, and is looking at new commercial models designed to expand its user base to new client profiles.

The vendor currently creates reports based on daily data on 40,000 companies from FactSet Research Systems that provide fundamental and peer analysis that shows key metrics for a company and assesses the effectiveness of its operating strategy, earnings leverage, drivers of margins and other factors to determine whether that company should use available capital, and whether it is likely to restructure, look for acquisitions, or be a likely acquisition target.

However, in its next release, slated for the end of May, AnalytixInsight will roll out modules for credit and dividend analysis. “The idea is to keep expanding out content,” says chief executive John Ballow. “Once the web analysis platform was up and running, it became easy to add new content.”

The credit analysis module will enable users to compare trading in a company’s debt or its valuation against ratings and credit default swap scores to identify anything amiss that investors should be aware of, while the dividend analysis module available will examine dividend data to assess a company’s health based on whether it is paying dividends from operating cashflow or cash balances, or whether a company is issuing new debt or equity in order to pay dividends.

The next release will also include access to more industry classifications from FactSet, which will let the vendor expand its peer analysis tenfold to create peer groups for a company based on around 1,100 industry classifications, Ballow says.

Access to AnalytixInsight’s platform costs $2,000 per month, though Ballow says the vendor is also considering versions targeted at auditors—for example, to support board-level compensation decisions—and retail investors, which could involve using embargoed data to create an affordable product.