American Express Q3 revenue just misses estimates; lifts profit guidance

By Reuters News


Overview

  • Payments network's Q3 revenue rose 9% yr/yr, slightly missing analyst expectations

  • Adjusted EPS for Q3 rose 13% to $4.68

  • Company raised full-year 2026 EPS guidance


Outlook

  • American Express raises FY 2026 EPS guidance to $18.30-$18.60, $17.60-$17.90 adjusted

  • Company expects to deliver about 10% revenue growth for full-year 2026


Result Drivers

  • CARD MEMBER SPENDING - Co said higher Card Member spending drove Q3 revenue growth

  • NET INTEREST INCOME - Growth in card balances led to higher net interest income, per co

  • CARD FEES - Strong card fee growth contributed to Q3 revenue increase, according to co


Company press release: Full Story


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q3 Revenue

Slight Miss*

$20.10 bln

$20.12 bln (21 Analysts)

Q3 EPS

$5.42

Q3 Net Income

$3.70 bln

*Applies to a deviation of less than 1%; not applicable for per-share numbers.


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 17 "strong buy" or "buy", 15 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the consumer lending peer group is "buy"

  • Wall Street's median 12-month price target for American Express Company is $375.00, about 15.3% above its October 22 closing price of $325.17

  • The stock recently traded at 17 times the next 12-month earnings vs. a P/E of 18 three months ago


Reuters Recommended Reads

  • Oct 23 - American Express raises 2026 profit forecast as affluent customers keep spending

  • Oct 22 - Enova Q3 adjusted EPS beats estimates on healthy loan demand, stable credit

  • Oct 21 - Pressure on lower-income US households raises delinquency risks, Morningstar DBRS says


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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