Intuit beats Q2 revenue, profit expectation

Reuters
Yesterday
Intuit beats <a href="https://laohu8.com/S/QTWO">Q2</a> revenue, profit expectation 

Overview

  • Financial technology firm's Q2 revenue up 17%, beating analyst expectations

  • Adjusted EPS for Q2 beat analyst expectations

  • Q2 operating income missed analyst expectations

Outlook

  • Intuit reiterates fiscal 2026 revenue guidance of $20.997 bln to $21.186 bln

  • Company expects Q3 revenue growth of approximately 10%

  • Intuit forecasts fiscal 2026 GAAP EPS of $15.49 to $15.69

Result Drivers

  • ONLINE ECOSYSTEM GROWTH - Intuit's Online Ecosystem revenue increased by 21%, driven by higher prices and customer growth in QuickBooks Online Accounting

  • CONSUMER SEGMENT PERFORMANCE - Consumer revenue rose 15%, with Credit Karma and TurboTax showing strong growth

  • GLOBAL BUSINESS SOLUTIONS - Revenue in this segment grew 18%, with Online Services contributing through money and payroll offerings

Company press release: ID:nBw9Bgdvza

Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q2 Revenue

Beat

$4.65 bln

$4.53 bln (24 Analysts)

Q2 Adjusted EPS

Beat

$4.15

$3.66 (25 Analysts)

Q2 EPS

$2.48

Q2 Net Income

$693 mln

Q2 Operating Income

Miss

$855 mln

$1.39 bln (23 Analysts)

Q2 Pretax Profit

Miss

$869 mln

$1.36 bln (15 Analysts)

Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 27 "strong buy" or "buy", 6 "hold" and 1 "sell" or "strong sell"

  • The average consensus recommendation for the financial technology (fintech) peer group is "buy"

  • Wall Street's median 12-month price target for Intuit Inc is $732.00, about 92% above its February 25 closing price of $381.23

  • The stock recently traded at 15 times the next 12-month earnings vs. a P/E of 28 three months ago

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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