FactSet

Financial data and analytics provider whose company financials, prices and estimates were integrated into New York AI platform Hebbia in September 2025[1][8]

Overview

FactSet is a financial data and analytics provider founded in 1978 by Howard Wille and Chuck Snyder[2]. The company relocated from New York City to Greenwich, Connecticut in 1990[2]. As of fiscal year 2025, FactSet employed 12,800 people[3] and reported revenues of $2.32 billion[4]. The company has expanded through acquisitions, including CUSIP Global Services from S&P Global for $1.925 billion in 2021 and LiquidityBook for $246.5 million in February 2025[5]. In September 2025, FactSet partnered with New York-based AI platform Hebbia to integrate FactSet company financials, market prices and estimates directly into Hebbia's platform, enabling analysts to combine structured market data with Hebbia's analysis of unstructured documents[1].

FactSet was founded in 1978 by Howard Wille and Chuck Snyder, whose partnership began in 1977 when they worked on Wall Street at Faulkner, Dawkins & Sullivan; the company's headquarters moved from New York City to Greenwich, Connecticut in 1990. [2]

FactSet acquired CUSIP Global Services from S&P Global for $1.925 billion in 2021 and LiquidityBook for $246.5 million in February 2025. [5]

Business address: 43 Glover Ave, Norwalk, Connecticut, 06850. [6]

Growth & traction

FactSet employed 12,800 people as of fiscal year 2025. [3]

FactSet reported revenues of $2.32 billion for fiscal 2025, and total ASV and professional services revenues of $2.2 billion for fiscal year 2024. [4]

Financials

TickerNYSE: FDSMarket value$10.5BShare price266.00 USD
2026-10266.00 USD-43% since 2021
2021-11low 217 · high 4912026-10

Market data, not a filing. Read 2026-10-02.

Revenue as reported
3 alumni

Alumni

  • PGerti G.Principal UX Lead, Product Design→Director Product Design & Research at Farther

Partnerships

  • Hebbia

    AI platform for finance used by asset managers, investment banks and law firms to run document-heavy research and diligence workflows.

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