Financial data provider FactSet beats Q1 revenue estimates, increases share buyback

Reuters12-18
Financial data provider FactSet beats Q1 revenue estimates, increases share buyback 

Overview

  • Financial data provider's Q1 revenue rose 6.9%, beating analyst expectations

  • Adjusted EPS for Q1 beat analyst expectations

  • Company increased share repurchase authorization to $1 bln

Outlook

  • FactSet expects fiscal 2026 GAAP revenues between $2,423 mln and $2,448 mln

  • Company projects fiscal 2026 GAAP diluted EPS between $14.55 and $15.25

  • FactSet sees fiscal 2026 adjusted operating margin between 34.0% and 35.5%

Result Drivers

  • REVENUE GROWTH - Growth in institutional buy-side and dealmakers clients drove a 6.9% increase in GAAP revenue

  • OPERATING MARGIN DECLINE - Higher amortization, employee compensation, and technology expenses led to a decrease in GAAP operating margin

  • EPS INCREASE - Revenue growth and a gain on sale of equity investments contributed to a 4.4% rise in GAAP diluted EPS

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q1 Revenue

Beat

$607.60 mln

$600.45 mln (12 Analysts)

Q1 Adjusted EPS

Beat

$4.51

$4.37 (15 Analysts)

Q1 EPS

$4.06

Q1 Adjusted EBIT Margin

36.20%

Q1 EBIT Margin

31.60%

Analyst Coverage

  • The current average analyst rating on the shares is "hold" and the breakdown of recommendations is 2 "strong buy" or "buy", 12 "hold" and 5 "sell" or "strong sell"

  • The average consensus recommendation for the professional information services peer group is "buy."

  • Wall Street's median 12-month price target for Factset Research Systems Inc is $316.50, about 6.9% above its December 17 closing price of $296.13

  • The stock recently traded at 17 times the next 12-month earnings vs. a P/E of 20 three months ago

For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact RefinitivNewsSupport@thomsonreuters.com.

(This story was created using Reuters automation and AI based on LSEG and company data. It was checked and edited by a Reuters journalist prior to publication.)

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