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XYZ — Block News Story

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Block Q2 revenue and profit beat analyst expectations

Block Q2 revenue and profit beat analyst expectations


Overview

  • Payments platform's Q2 revenue rose, beating analyst expectations

  • Adjusted EPS for Q2 beat analyst expectations

  • Adjusted EBITDA for Q2 beat analyst expectations


Outlook

  • Block Inc did not provide specific financial guidance for the current or upcoming quarters


Result Drivers

  • CUSTOMER ACQUISITION - Block said new customer acquisition, retention, and same store growth contributed to Square U.S. GPV acceleration

  • PRODUCT EXPANSION - Block cited launch of new hardware and order management capabilities for upmarket sellers as supporting growth

  • CASH APP ENGAGEMENT - Block said Cash App Primary Banking Actives grew 17% yr over yr, driving deeper engagement


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q2 Revenue

Beat

$6.62 bln

$6.49 bln (27 Analysts)

Q2 Adjusted EPS

Beat

$1.02

$0.87 (31 Analysts)

Q2 EPS

$0.15

Q2 Adjusted EBITDA

Beat

$1.20 bln

$1.05 bln (26 Analysts)


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 39 "strong buy" or "buy", 9 "hold" and no "sell" or "strong sell"

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

  • Wall Street's median 12-month price target for Block, Inc. is $92.00, about 8.7% above its August 4 closing price of $84.64

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


Reuters Recommended Reads

  • Aug 5 - Global Payments' Q2 adjusted revenue slightly misses estimates

  • Aug 4 - Marqeta Q2 revenue beats estimates on higher total processing volume

  • Aug 3 - Paymentus Q2 revenue beats expectations on higher billers, transaction volume


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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