Chegg’s QQ3 2024 results reflect a challenging near-term environment driven by rapid AI-enabled disruption and a consequential restructuring program. Revenue declined 13% year over year to $136.59 million, and net income was negative at $212.6 million, primarily pressured by a $196 million noncash goodwill impairment and a $55 million contingent liability related to the Leventhal settlement. Management delivered adjusted EBITDA of $22.0 million, aided by ongoing cost controls, but GAAP results remain hampered by the impairment and non-operating items. In response to a deteriorating traffic and engagement dynamic linked to Google’s AI Overlay (AIO) and broader generative AI adoption, Chegg announced an additional restructuring to reduce headcount by 21%, aiming for $60–70 million in annualized non-GAAP cost savings in 2025 and a combined $100–120 million of non-GAAP savings for 2025 when combined with prior restructuring actions.
Operationally, engagement metrics remained resilient in Chegg Study and Study Pack (monthly retention +30 bps YoY; questions asked jumped 79% YoY), suggesting meaningful product value and a trajectory toward deeper in-product learning journeys. However, total subscribers fell 13% YoY to 3.8 million, subscription ARPU declined 2% YoY, and overall traffic softness extended into October with non-subscriber traffic down 37% YoY. Management remains focused on a multi-year plan to verticalize and personalize the learning experience, expand into practice and solution comparison use cases, and diversify customer acquisition channels (Discord app, Chrome extension, TikTok, institutional partnerships) to mitigate reliance on any single channel.
Looking ahead, Q4 revenue guidance is $141–$143 million with subscription revenue of $126–$128 million and adjusted EBITDA expected at $32–$34 million. The company also signaled that the AI-driven evolution will take time to translate into material improvements in profitability and that the cost-reduction program will be critical to stabilizing margins. Investors should monitor (1) the effectiveness of the restructuring and cost-optimization actions, (2) the trajectory of non-subscriber traffic and overall traffic mix in the post-AIO environment, (3) the success of new go-to-market channels and institutional partnerships, and (4) the continued evolution and monetization of Chegg’s differentiated learning content and Q&A experience in an AI-enabled landscape.