AMG Q4 adjusted EBITDA beats analyst expectations

Reuters
02/12
AMG Q4 adjusted EBITDA beats analyst expectations

Overview

  • Investment manager's Q4 adjusted EBITDA beat analyst expectations

  • Company reported $12 bln net client cash inflows in Q4, driven by alternative strategies

  • Company repurchased $700 mln in common stock in 2025

Outlook

  • Company expects to drive further earnings growth in 2026 through strategic partnerships

  • AMG aims to expand presence in U.S. wealth marketplace in 2026

  • Company plans to invest in growth areas supported by strong capital position

Result Drivers

  • ALTERNATIVE STRATEGIES - AMG's Q4 results were driven by $12 bln net client cash inflows, primarily from alternative strategies

  • GROWTH INVESTMENTS - Co committed over $1 bln to new growth investments in 2025, broadening exposure to alternative strategies

  • PRIVATE MARKETS AND LIQUID ALTERNATIVES - AMG's private markets and liquid alternatives strategies saw significant inflows, highlighting demand

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q4 EPS

$11.21

Q4 Net Income

$347.60 mln

Q4 Adjusted EBITDA

Beat

$378.10 mln

$354.79 mln (5 Analysts)

Q4 Assets Under Management

$813.30 bln

Analyst Coverage

  • The current average analyst rating on the shares is "strong buy" and the breakdown of recommendations is 6 "strong buy" or "buy", no "hold" and no "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 Affiliated Managers Group Inc is $360.00, about 16.8% above its February 11 closing price of $308.09

  • The stock recently traded at 10 times the next 12-month earnings vs. a P/E of 8 three months ago

Press Release: ID:nGNX1gDmYH

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