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Mastercard Q2 revenue beats estimates on payment network growth

Mastercard Q2 revenue beats estimates on payment network growth

ReutersReuters2026/07/30 12:15


Overview

  • Payments network operator's Q2 revenue grew 14% yr/yr, beating analyst expectations

  • Q2 adjusted EPS beat analyst expectations

  • Company repurchased 9.8 mln shares in Q2


Result Drivers

  • PAYMENT NETWORK GROWTH - Co said revenue growth was driven by increases in gross dollar volume, cross-border volume, and switched transactions

  • VALUE-ADDED SERVICES - Co said value-added services and solutions revenue rose 20%, driven by security, digital and authentication solutions, consumer acquisition and engagement services, and business and market insights

  • CUSTOMER INCENTIVES - Co said payment network rebates and incentives increased 22%, mainly due to new and renewed deals


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q2 Revenue

Beat

$9.3 bln

$9.07 bln (28 Analysts)

Q2 Adjusted EPS

Beat

$5.04

$4.77 (29 Analysts)

Q2 EPS

$4.97


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 42 "strong buy" or "buy", 3 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the online services peer group is "buy"

  • Wall Street's median 12-month price target for Mastercard Inc is $650.00, about 15.4% above its July 29 closing price of $563.32

  • The stock recently traded at 26 times the next 12-month earnings vs. a P/E of 25 three months ago


Reuters Recommended Reads

  • July 28 - Visa tops profit estimates on resilient spending, World Cup travel

  • July 28 - PayPal presses on with turnaround in pivotal quarter as sale questions linger

  • July 30 - Intercontinental Exchange to buy MarketAxess in $5.7 billion deal


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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Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

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