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Chegg Q2 revenue falls 51%

Chegg Q2 revenue falls 51%


Overview

  • Global learning platform's Q2 revenue fell 51% yr/yr, but exceeded company expectations

  • Adjusted EBITDA was positive, reflecting disciplined expense management and AI-driven efficiencies

  • Company repurchased $1.7 mln in shares during Q2, with $120.7 mln remaining authorized


Outlook

  • Chegg sees Q3 total net revenues between $43 mln and $44 mln

  • Company expects Q3 gross margin in the range of 48% to 49%

  • Chegg expects Q3 adjusted EBITDA between $1 mln and $2 mln


Result Drivers

  • EXPENSE REDUCTION - Co nearly halved non-GAAP operating expenses yr/yr, citing disciplined management and AI-driven productivity gains

  • SKILLING BUSINESS - Chegg Skilling revenues rose 2% yr/yr, with new distribution partnerships expected to contribute more meaningfully later this year

  • ACADEMIC SERVICES RETENTION - Co said Chegg Study monthly retention remained strong, reinforcing its long-term cash-generating potential


Company press release: ID:nBw1MQb2Ba


Key Details

Metric

Beat/Miss

Actual

Consensus Estimate

Q2 Revenue

Beat

$51.85 mln

$49.50 mln (1 Analyst)

Q2 Adjusted Loss Per Share

Beat

$0.02

$0.05 (1 Analyst)

Q2 Loss Per Share

$0.03

Q2 Adjusted Net Loss

$2.50 mln

Q2 Net Loss

$2.95 mln

Q2 Adjusted EBITDA

$9.10 mln

Q2 Gross Profit

$28.28 mln

Q2 Income from operations

-$3.18 mln


Analyst Coverage

  • The one available analyst rating on the shares is "hold"

  • The average consensus recommendation for the professional information services peer group is "buy."


Reuters Recommended Reads

  • Aug 5 - Duolingo's soft quarterly revenue outlook overshadows stronger user growth forecast

  • Aug 4 - Stride Q4 revenue, adjusted EPS beats estimates

  • Aug 5 - Canada's Thinkific Q2 revenue rises 3%, slightly beats 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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