Stride Q1 revenue, adjusted EPS beat estimates on higher revenue per enrollment

By Reuters News


Overview

  • US technology-based education firm's fiscal Q1 revenue rose 3% yr/yr, beating analyst expectations

  • Adjusted EPS for fiscal Q1 fell 10% yr/yr

  • Net income for fiscal Q1 declined 6% yr/yr


Outlook

  • Stride forecasts full-year 2027 revenue between $2.53 bln and $2.61 bln

  • Company expects full-year 2027 adjusted operating income of $500 mln to $530 mln

  • Stride projects full-year 2027 effective tax rate of 24% to 26%


Result Drivers

  • CAREER LEARNING GROWTH - Higher Career Learning Middle-High School revenue and increased enrollments drove segment growth

  • REVENUE PER ENROLLMENT - Company said higher revenue per enrollment contributed to overall revenue growth

  • SEGMENT DECLINES - Lower General Education and Adult Career Learning revenue offset some gains


Company press release:


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q1 Revenue

Beat

$639.40 mln

$615.63 mln (3 Analysts)

Q1 Adjusted EPS

Beat

$1.37

$1.005 (2 Analysts)

Q1 EPS

$1.45

Q1 Net Income

$64.90 mln


Analyst Coverage

  • The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 3 "strong buy" or "buy", 2 "hold" and no "sell" or "strong sell"

  • The average consensus recommendation for the miscellaneous educational service providers peer group is "buy"

  • Wall Street's median 12-month price target for Stride Inc is $124.60, about 53.8% above its October 19 closing price of $80.99

  • The stock recently traded at 11 times the next 12-month earnings vs. a P/E of 11 three months ago


Reuters Recommended Reads

  • Oct 20 - Pegasystems Q3 revenue, adjusted EPS miss estimates as contract growth slows

  • Oct 19 - Accounting firm CBIZ Q3 revenue, adj EPS miss analyst estimates


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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