$CHGG

Chegg reported Q2 2026 results and said it beat expectations for revenue and EBITDA after restructuring into an AI-first, leaner cost model. It plans a Q3 2026 soft launch of a unified employability platform, expects Q3 revenue of $43 million to $44 million, targets 60% lower 2026 CapEx, and expects to repay convertible debt in Q3. Free cash flow was $9.5 million in H1 after $14.4 million severance; it repurchased $1.7 million of stock in Q2.

Chegg (NYSE:CHGG) reported Q2 CY2026 sales of $51.85 million, down 50.7% year on year but 4.8% above Wall Street estimates. Next-quarter revenue guidance was $43.5 million, about 9.9% below expectations. Non-GAAP loss was $0.02 per share, 60% above consensus. Shares fell 7.5% to $1.01 after the report.

CHEGG, INC (CHGG) filed an SEC Form 8-K — Results of Operations and Financial Condition. EX-99.01 2 a9901-financialresultsq220.htm EX-99.01 Document EXHIBIT 99.01 Chegg Reports Second Quarter 2026 Earnings SAN FRANCISCO, Calif., August 6, 2026 /BUSINESS WIRE/ -- Chegg, Inc. (NYSE:CHGG), a global learning and workforce skilling company, today reported financial result

Chegg (NYSE: CHGG) is set to report earnings Thursday before the bell. Last quarter, Chegg reported revenue of $63.26 million, down 47.9% year on year, and missed revenue and EBITDA guidance for the next quarter versus analyst expectations. Analysts expect revenue to fall 52.9% year on year. Shares are up 5.1% over the past month.

Chegg, Wayfair, and Angi shares fell after President Trump said an Iran ceasefire was over and vowed further strikes, lifting oil and bond yields. The article links higher yields to lower valuations for long-duration consumer internet stocks. It cites Wayfair’s Q1 net revenue up 7.4% to $2.9B and notes CHGG -6%, W -8.9%, ANGI -6.8%.

CHEGG, INC (CHGG) filed an SEC Form 8-K — Submission of Matters to a Vote of Security Holders. chgg-20260612 0001364954 false 0001364954 2026-06-12 2026-06-12 UNITED STATES SECURITIES AND EXCHANGE COMMISSION WASHINGTON, D.C. 20549 FORM 8-K CURRENT REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934 Date of report (Date of earliest event reported):

Chegg became the first publicly traded company to cite generative AI as a driver of revenue decline in its filings and earnings calls, according to the article. Its stock fell about 99% from a Feb. 2021 peak to an April 2025 low of $0.44. On May 1, 2023, CEO Dan Rosensweig said ChatGPT was affecting new customer growth; shares dropped 48.41% the next day. In Q4 2024, revenue was $143.5M (-24% YoY) with 3.6M subscribers (-21% YoY), and Chegg attributed declines to Google AI Overviews. The company

The article argues that AI-driven disruption has hurt companies such as Chegg, Fiverr, and Teleperformance, citing near-100% declines from 2021 highs for Chegg and Fiverr and a major market-value reduction for Teleperformance. It lists four “warning signs” (coordinated insider selling, senior talent leaving, pricing-model changes, and CEOs denying AI threats) and says 12 stocks show multiple signs. It also claims smart-money positioning is shifting toward quantum computing, highlighting Quantum

The article outlines four “warning signs” it says appeared before AI-related declines at Chegg, Fiverr, and Teleperformance: coordinated insider selling, senior talent leaving for AI firms, pricing model changes, and CEO denial. It lists 12 current stocks with multiple signals (e.g., Salesforce, Adobe, Workday). It also claims institutional capital is rotating toward quantum computing, highlighting Quantum Computing Inc. (QUBT), citing a revenue jump after acquisitions.

Chegg Inc. (NYSE: CHGG) announced its expansion into AI model training services, leveraging its proprietary academic data and expert network accumulated over a decade. The company plans to license its academic content and provide expert evaluation services to AI laboratories, particularly focusing on STEM fields, to help AI models develop reasoning and problem-solving capabilities. Chegg highlights its differentiated approach in managing consistent, high-quality human input for AI development, addressing a critical need for AI-ready data.