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CHGG News
CHGG Events
Sees Q3 Adjusted EBITDA of $1M-$2M
Sees Q3 adjusted EBITDA $1M-$2M
Chegg Reports Q2 Revenue of $51.8M
Reports Q2 revenue $51.8M vs $105.120M last year. "In Q2 we outperformed our expectations on revenue, adjusted EBITDA, and cash, reflecting our ability to execute against our priorities while investing for future growth," said Dan Rosensweig, CEO and Executive Chairman of Chegg. "Our long-term goal remains the same: return Chegg to growth with high margins and strong free cash flow."
Chegg Receives NYSE Non-Compliance Notice for Share Price Below $1
Chegg announced that the company was notified by the NYSE that it is not in compliance with Section 802.01C of the NYSE Listed Company Manual because the average closing share price of the company's common stock was less than $1.00 over a consecutive 30 trading-day period ending on July 23. This notice is separate and distinct from the NYSE notice received by the company in December 2025 regarding minimum share price requirement compliance, which the company subsequently cured to regain compliance at the end of May.
Chegg Launches Next Phase of Strategic Roadmap to Aid AI Model Training
Chegg announced the next phase of its strategic roadmap, applying its proprietary data, operational expertise, and calibrated network of subject matter experts to help organizations train and evaluate world-class AI models. As AI systems increasingly rely on reinforcement learning from human feedback and rigorous evaluation, the demand for accurate, domain-specific expertise - particularly in STEM fields - has become critical. Chegg is uniquely positioned to meet this need, combining its extensive experience delivering high-quality academic solutions with a deeply structured approach to managing expert-generated content at scale. Unlike emerging talent marketplaces that primarily connect AI labs with subject matter experts, Chegg's approach is built on over a decade of developing operational systems that not only source experts but rigorously assess, align, and continuously improve their output. This enables Chegg to go beyond providing a human layer of expertise by delivering the back-end calibration and quality assurance required to produce reliable, high-quality training data consistently. This operational capability addresses a core challenge facing AI development today. As models become more sophisticated, the bottleneck is no longer purely technical - it is the ability to manage and maintain consistent, high-quality human input. Chegg's strength lies in solving this operational challenge, ensuring that expert contributions are structured, auditable, and aligned to the needs of modern AI systems. "At Chegg, we're excited to expand our strategic focus to help train the next generation of AI models," said Dan Rosensweig, CEO. "As these systems become more advanced, success depends not just on model architecture, but on the quality of the data and human expertise behind them. With our experience building highly accurate, structured learning systems - combined with millions of complex, step-by-step reasoning solutions and our rigorously calibrated expert network - we're uniquely positioned to help AI models develop true reasoning and problem-solving capabilities."
Chegg Sees Q2 Revenue of $49M-$50M, Below Estimates
Chegg sees Q2 revenue $49M-$50M, two estimates $58.6M
This page is for research only and is not investment advice. Models can be wrong. Past performance does not guarantee future results.