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Mosaic partners with FactSet to enhance deal modeling

Published 16/12/2024, 14:14
FDS
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NEW YORK - Mosaic, a leading Digital Deal Modeling platform, has announced a strategic integration with financial data provider FactSet (NYSE: FDS), aiming to significantly enhance the deal modeling process for mutual customers. FactSet, with a market capitalization of $18.57 billion and annual revenue of $2.2 billion, has established itself as a financial powerhouse with strong fundamentals. According to InvestingPro data, the company maintains an impressive financial health score, reflecting its robust market position. This collaboration introduces FactSet's financial and market data into Mosaic's platform, allowing users to conduct in-depth public-to-private transaction analysis with greater speed and precision.

The integration is designed to expedite the deal screening workflow, enabling private equity firms and investment banks to perform complex take-private analysis in under a minute. This marks a substantial improvement over traditional spreadsheet-based methods, which are typically more time-consuming.

Jason Weinstein, Head of the Private Equity and Venture Capital Business Unit at FactSet, expressed enthusiasm about the integration, highlighting the robust datasets FactSet will provide to Mosaic users for improved market trend understanding and deal analysis.

Ian Gutwinski, Founder & CEO of Mosaic, described the collaboration as a significant advancement in analytical capacity for their customers. By merging Mosaic's modeling capabilities with FactSet's data, the platform now offers an unmatched solution for transaction screening and analysis, according to Gutwinski.

This enhancement aligns with Mosaic's mission to provide financial professionals with innovative tools to simplify complex financial transactions. The integration is expected to offer greater accuracy and speed, which are crucial in a competitive market.

The integration is now available to users, who can screen new opportunities with unprecedented agility. For more information on enabling the integration, Mosaic and FactSet representatives can be contacted directly. InvestingPro analysis reveals FactSet's strong market performance, trading near its 52-week high of $499.87, with consistent dividend growth for 26 consecutive years - just one of many insights available in the comprehensive Pro Research Report.

Mosaic, operated by Investor Technology Group, Inc., is recognized for its Digital Deal Modeling™ platform, serving investment professionals managing substantial assets across various firms. FactSet, listed as FDS on both the NYSE and NASDAQ, is known for delivering financial data and analytics to a wide range of clients in the financial sector. With a return on equity of 30% and consistent profitability, FactSet demonstrates strong operational efficiency. For deeper insights into FactSet's valuation and growth prospects, investors can access detailed analysis through InvestingPro's comprehensive research tools and expert reports.

The information for this article is based on a press release statement.

"In other recent news, FactSet Research Systems reported a 4.9% year-over-year revenue increase to $562.2 million with adjusted earnings per share of $3.74. However, the company's fiscal 2025 earnings guidance of $16.80-$17.40 per share fell short of Wall Street's projections. Amid these recent developments, BMO Capital Markets adjusted its outlook on FactSet shares, increasing the price target to $521 and retaining a Market Perform rating. Deutsche Bank (ETR:DBKGn) also updated its outlook, raising the price target to $483 while maintaining a Hold rating. On the contrary, Redburn-Atlantic downgraded FactSet's stock from Neutral to Sell, citing concerns over slowing growth and current strategy. Evercore ISI initiated coverage on FactSet with an In Line rating and a price target of $470. Stifel increased its target to $469, maintaining a Hold rating. These recent developments reflect various market expectations for FactSet's performance."

This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.

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