State Street beats Q4 adjusted EPS estimates on higher fee revenue, interest income

Reuters01-16
State Street beats Q4 adjusted EPS estimates on higher fee revenue, interest income

Overview

  • Financial services firm's Q4 revenue rose 7%, beating analyst expectations

  • Adjusted EPS for Q4 beat analyst expectations

  • Company expanded Wealth Services via Apex Fintech partnership

Outlook

  • State Street plans to expand Wealth Services through Apex Fintech Solutions partnership

  • Company aims to drive transformation with technology and AI in 2026

Result Drivers

  • REVENUE GROWTH - Total revenue increased 7%, driven by higher fee revenue, net interest income, and currency translation effects

  • FEE REVENUE - Fee revenue increased 8%, supported by higher servicing, management, FX trading, and securities finance revenues

  • STRATEGIC INVESTMENTS - Co expanded Wealth Services through partnership with Apex Fintech Solutions and launched Digital Asset Platform

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q4 Revenue

Beat

$3.67 bln

$3.60 bln (12 Analysts)

Q4 Adjusted EPS

Beat

$2.97

$2.85 (14 Analysts)

Q4 EPS

$2.42

Q4 Net Income

$747 mln

Q4 Net Interest Income

Beat

$802 mln

$762.44 mln (9 Analysts)

Q4 Credit Loss Provision

$8 mln

Q4 ROE

11.30%

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 13 "strong buy" or "buy", 4 "hold" and 1 "sell" or "strong sell"

  • The average consensus recommendation for the investment management & fund operators peer group is "buy"

  • Wall Street's median 12-month price target for State Street Corp is $144.00, about 5.7% above its January 15 closing price of $136.29

  • The stock recently traded at 12 times the next 12-month earnings vs. a P/E of 11 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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