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Date

Wednesday, May 6, 2026 at 4:30 p.m. ET

Call participants

  • President and CEO — Daniel Rosensweig
  • Chief Financial Officer — David Longo
  • Vice President of Investor Relations — Tracey Ford

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Takeaways

  • Chegg (CHGG 6.45%) Skilling contributed $17.6 million and Academic Services contributed $45.7 million in revenue for the quarter.
  • Chegg Skilling revenue growth -- 9% year over year, with management forecasting double-digit growth for the full year and acceleration as new partnerships launch and scale.
  • Academic Services performance -- While traffic was pressured, monthly retention rates were described as "very strong," extending operational runway and cash generation.
  • Operating expenses -- Non-GAAP operating expenses totaled $36.4 million, a 55% reduction equaling $44.1 million less than the prior year.
  • Adjusted EBITDA -- $15.5 million, with a 24% margin.
  • Net income -- Positive net income for the first time in two years, as stated by management.
  • Capital expenditures (CapEx) -- $1 million for the quarter, down 88% year over year; 2026 CapEx expected to fall by 60% with 90% allocated to the growing skilling segment.
  • Free cash flow -- $3.1 million, incorporating $12.9 million in severance payments tied to previous restructuring.
  • Balance sheet position -- $67.9 million in cash and investments and a net cash position of $34.1 million at quarter end.
  • Guidance: Q2 2026 -- Projecting Chegg Skilling revenue of $17.5 million to $18 million, total company revenue of $49 million to $50 million, gross margins between 51% and 52%, and adjusted EBITDA of $5 million to $6 million.
  • Debt reduction -- Company targets full repayment of its convertible debt by September 2026.
  • Strategic partnerships -- New deals include Cornerstone and Wolf, as well as renegotiated and expanded distribution channels allowing the company to add partners beyond Guild; management disclosed additional signed but unannounced partnerships expected to launch by year-end.
  • AI-driven product strategy -- Transition to an AI-first approach has enabled lower costs, faster curriculum development, enhanced quality, and real-time workflow integration across services.
  • Expense management -- In the last six months, management reported a 40% reduction in costs and simultaneous increases in free cash flow and balance sheet strength.
  • Securities repurchase authorization -- Capital deployment, including remaining share repurchases, will be considered based on a disciplined, long-term value approach.

Summary

The call introduced a suite of AI-backed operational and product changes that enable continuous personalized learning, real-time intervention, and measurable skill outcomes for both individuals and enterprises. Management emphasized new accredited offerings, such as the forthcoming AI master's program created in partnership with Wolf, which combine applied learning with recognized credentials to broaden the platform's credibility. Distribution expansion was highlighted by the recently announced contract with Cornerstone and the renegotiated deal with Guild, unlocking access to new enterprise channels that have not yet launched but are expected to build revenues over the year. Ongoing investments in skilling are internally funded by existing high-margin services, with the financial model now structured for increased cash flow and a rapid path to zero net debt. Cost discipline has positioned the company for further innovation, including the reduction of friction in both user and content-creator experiences and the ability to meet partner demands for rapid, frequent content updates.

  • Management stated, "we are launching our first AI master's program, combining applied learning with recognized credentials," indicating a move into accredited, higher-value education products.
  • According to feedback from Chegg's Skills for Business Impact report, 43% of surveyed graduates found they work more efficiently, and 41% reported improved work quality from new skills gained, supporting outcome claims.
  • 75% of surveyed graduates in AI reported increased confidence, with 43% actively using those skills on the job, and 80% attributed positive career impact to the program.
  • Of graduates surveyed, 92% were still employed six to twelve months after completing a program, and 62% cited employer-sponsored education as their reason for retention.
  • AI technology enables real-time, in-workflow coaching and performance tracking for language learning, as management described proprietary new features (e.g., "Pulse") to provide on-the-job language prompts.
  • Management confirmed that signed, but not-yet-announced, enterprise distribution deals are set to contribute progressively over the remainder of the year.
  • Management stated that achieving the 10% year-over-year growth rate for skilling revenue is attainable without outsized contributions from any single partner.

Industry glossary

  • Chegg Skilling: Chegg's product suite focused on professional and workforce skill development, including courses, credentialed programs, and language learning tools.
  • Academic Services: Chegg's traditional student support offerings such as Chegg Study, Chegg Writing, and textbook services, focused on academic coursework assistance.
  • Guild: A third-party enterprise workforce education platform that previously served as Chegg's exclusive channel partner for certain skilling products until contract renegotiation enabled expansion.
  • Adjusted EBITDA: Non-GAAP measure of profitability calculated as earnings before interest, taxes, depreciation, amortization, and certain other exclusions.
  • PULSE: Chegg's AI-driven tool designed to deliver real-time, contextual language learning prompts within workflow scenarios.

Full Conference Call Transcript

Operator: Good afternoon, ladies and gentlemen, and welcome to the Chegg, Inc. First Quarter 2026 Earnings Conference Call. All participants will be in listen-only mode. The question and answer session will follow the formal presentation. Please note that this event is being recorded. I will now hand over to Tracey Ford, VP of Investor Relations. Please go ahead.

Tracey Ford: Good afternoon. Thank you for joining Chegg, Inc.'s First Quarter 2026 Conference Call. On today's call are Daniel Rosensweig, President and CEO, and David Longo, Chief Financial Officer. A copy of our earnings press release along with our presentation is available on our Investor Relations website, investor.chegg.com. A replay of this call will also be available on our website. We routinely post information on our website and intend to make important announcements on our media center website at chegg.com/mediacenter. We encourage you to make use of these resources.

Before we begin, I would like to point out that during the course of this call, we will make forward-looking statements regarding future events, including the future financial and operating performance of the company. These forward-looking statements are subject to material risks and uncertainties that could cause actual results to differ materially from those in the forward-looking statements. We caution you to consider the important factors that could cause actual results to differ materially from those in the forward-looking statements.

In particular, we refer you to the cautionary language included in today's earnings release and the risk factors described in Chegg, Inc.'s Annual Report on Form 10-K for the year ended December 31, 2025, filed with the Securities and Exchange Commission, as well as our other filings with the SEC. Any forward-looking statements that we make today are based on assumptions we believe to be reasonable as of this date. We undertake no obligation to update these statements as a result of new information or future events. During this call, we will present both GAAP and non-GAAP financial measures.

Our GAAP results and GAAP-to-non-GAAP reconciliations can be found in our earnings press release and the investor slide deck found on our IR website, investor.chegg.com. We also recommend you review the investor data sheet, which is also posted on our IR website. Now I will turn the call over to Dan.

Daniel Rosensweig: Thank you, Tracey, and thanks, everyone, for joining Chegg, Inc.'s first quarter 2026 earnings call. Q1 was a strong quarter. We exceeded our expectations for revenue, profitability, and free cash flow while still significantly reducing debt, and we continue to optimize our cost base and capital expenditures. These results reflect the deliberate work we have done to re-architect Chegg, Inc. Our financials, our corporate structure, and our product experience are all optimized around AI, and the results are showing. The business is leaner and better positioned for future growth with high margins.

Leveraging artificial intelligence, we provide a differentiated experience as we personalize learning paths, identify where learners are struggling, and trigger targeted interventions from coaches or systems before a learner falls behind. AI also allows us to create and update curriculum fast enough to keep pace with how quickly skills, especially AI skills, are evolving. All of this allows us to deliver better outcomes without increasing costs. We continue to expect double-digit revenue growth in skilling for the full year 2026, with acceleration as the year progresses. We are seeing positive traction broadly across skilling, including the addition of new enterprise partners and channel partners and momentum in the global category leaders across manufacturing, consulting, professional services, and technology.

Notably, we recently signed a partnership with Cornerstone, a leading learning and talent management platform. This is expected to open up a meaningful enterprise distribution channel for Chegg, Inc. Skills and connect us with customers at scale. And for the first time, we are expanding our skilling platform through accredited offerings. With Wolf, a partnership we announced last quarter, we are launching our first AI master's program, combining applied learning with recognized credentials. We take the same AI-first approach in our language learning offering, as we are moving beyond structured lessons towards real-time, in-workflow coaching, helping learners apply skills in the moments that matter the most.

What differentiates our offering is that AI enables us to surface skills performance data that HR and learning and development leaders can act on, shifting the conversation from reporting on learning activity to demonstrating measurable language capability in the workflow. Skilling is a large and growing market, and we believe we are building the most credible, outcomes-driven platform in the space. In our 2026 Skills for Business Impact report, more than [inaudible] of graduates surveyed report applying their new skills immediately. 43% say they are working more efficiently, and 41% report improved quality of work. On AI specifically, 75% of graduates report increased confidence, and 43% are actively applying those skills on the job.

The impact extends to employers as well. 80% of the graduates we surveyed report a positive career impact, and 92% remain with their employers six to twelve months after completing the program, with 62% citing employer-sponsored education as a key reason for staying. Our investments in skilling are funded by the strong free cash flow being generated by Chegg Study, which outperformed our expectations in Q1. While search headwinds continue to impact traffic for Chegg, Inc., retention remains strong, an indicator that students continue to find real value in our product. The financial foundation we have built is what makes everything we are building possible, and it reflects the kind of focus and discipline this team has.

Six months ago, I returned to Chegg, Inc. because I saw a company with all the ingredients to win: a trusted brand, proven curriculum, outcomes data that demonstrated a real return on investment for our customers, and an expanding global network of enterprise and institutional partners. What we needed was focus and clarity to lean into the opportunities ahead of us. In the last six months, this team has removed approximately 40% of our costs, put us on a path to zero debt, increased our free cash flow, and retooled the business to be AI-first, giving us a strong foundation to grow from.

As a result, I am confident about the category we are in, the momentum in our skilling business, and the strength of our balance sheet. I feel confident about the opportunity in front of us and our ability to drive value for our shareholders and our customers. I look forward to updating you on the next call. With that, I will turn it over to David.

David Longo: Thank you, Dan, and good afternoon. Today, I will review our financial performance for 2026 along with the company's outlook for the second quarter. Building on the progress outlined in our last earnings call, we delivered a strong first quarter, which exceeded expectations. Our results reflect continued execution on our priorities and increasing momentum in our businesses. Our strategic focus on the large and growing skilling market positions us for long-term sustainable growth with strong margins, while we leverage AI across the organization to improve efficiency and drive meaningful improvements in profitability and cash generation. In the quarter, Chegg, Inc. Skilling generated $17.6 million in revenue, representing 9% growth as we continued to invest in the business.

We also signed exciting new distribution deals which we expect to contribute in the second half and help drive double-digit skilling revenue growth for the full year. Academic Services revenue was $45.7 million. We continue to manage this business with a focus on maximizing cash generation, which exceeded our expectations this quarter. While traffic remained under pressure, monthly retention rates were very strong in the quarter, further extending the operational runway of the business. Turning to expenses, non-GAAP operating expenses were $36.4 million, reflecting a reduction of $44.1 million, or 55% year-over-year. These results reflect our disciplined approach to expense management. We will continue to identify additional opportunities, including enhanced use of AI, to drive further efficiency.

Importantly, these actions are generating cash flow that we can invest in our future growth. Adjusted EBITDA for the quarter was $15.5 million, representing a margin of 24%. We also delivered positive net income in the first quarter for the first time in two years. First-quarter CapEx was $1 million, down 88% year-over-year. For 2026, we are targeting a 60% reduction in CapEx with approximately 90% dedicated to our growing skilling business. Free cash flow in the quarter was $3.1 million, which includes approximately $12.9 million of severance payments related to prior restructuring actions. We expect an additional $2.1 million of severance payments in the second quarter. Despite these items, we expect to generate meaningful free cash flow in 2026.

Looking at the balance sheet, we ended the quarter with $67.9 million in cash and investments and a net cash position of $34.1 million, providing us flexibility as we execute on our priorities. Looking ahead to Q2 guidance, we expect Chegg, Inc. Skilling revenue of $17.5 million to $18 million, total revenue between $49 million and $50 million, gross margins in the range of 51% to 52%, and adjusted EBITDA between $5 million and $6 million. In 2026, our capital allocation priorities remain focused on maximizing free cash flow, strengthening our balance sheet, and fully repaying our convertible debt by September.

Additionally, we will continue to evaluate opportunities to deploy capital, including through our remaining securities repurchase authorization, with a disciplined approach aligned to long-term shareholder value. In closing, we have taken deliberate actions to position the company for long-term success. We are leaner, more efficient, and well positioned for double-digit growth in our skilling business and meaningful free cash flow in 2026, putting us on a clear path to sustained growth, profitability, and increased shareholder value. With that, I will turn the call over to the operator for your questions.

Operator: We will now open the call for questions. Ladies and gentlemen, we will now be conducting a question and answer session. Please note, for participants making use of speaker equipment, it may be necessary to pick up your handset before pressing the star keys. If you would like to ask a question, please key in star and then one. You may key in star and then two to leave the question queue. Our first question comes from Ryan MacDonald of Needham & Co. Please go ahead.

Ryan MacDonald: Thanks for taking my questions. Daniel, maybe on the Chegg, Inc. Skilling business, the trends you are seeing there, can you maybe unpack the two segments a bit in Q1? What were you seeing across B2B language learning versus Chegg, Inc. Skills? And then as you think about the back-half-of-the-year acceleration in growth and getting to the double digits, what kind of visibility do you have, or do you get from the partners, as you add those and those additional channels throughout the year?

Daniel Rosensweig: Yeah, great question. It is exactly what we look at. So the trend in the first quarter was very strong because there were three things that we wanted to accomplish. On the cost side, we reinvented the way we are able to build content utilizing AI and the user experience, allowing us to scale at a lower cost with a higher quality using AI versus necessarily using humans. And we applied that across both what you would call the traditional skilling and the language skilling. We combine those businesses because whether we sell through channels in the U.S. or directly to corporations or businesses—or “corporate,” they call them in Europe—they actually buy them both as skills.

So we are working to combine package and offerings to be able to offer both of those things. What you will see going forward is some pretty exciting capabilities that AI allows us to have, which is real-time intervention inside the course or inside the use of language, which we think will make them extremely valuable, and we expect to be able to see increased retention and utilization of those products going forward. They are rolling out now. The question over how these accounts build: So before I came back, Chegg, Inc. had one channel distribution, which was Guild, and we still have Guild, and Guild is still a terrific partner.

However, we needed to renegotiate the contract with Guild to allow us to work additional partners, which we did not have the ability to do before. So what you have heard from us from announcements is that since the beginning of the year, we were able to renegotiate that and sign on a number of distribution partners for the combined assets of our skilling. So whether it be the skills, the skills with the language, or the language—all of those have yet to launch. We have signed those agreements, and we are building the courses, and we expect them to launch somewhere around—some of them—somewhere in this quarter, and then to build over the course of the year.

So the reason we feel very comfortable at this moment in time is because we have set each of those to build revenue over the course of the year and then really accelerate going into 2027. So we are excited about that. So the first step was redesign the products and services to be more AI-centric—lower cost, better quality of outcome for the students. Second one was liberate ourselves from a single deal to be able to sign more deals, then sign more deals, which we have. You heard the Cornerstone, which we signed and announced today. You heard us announce Wolf on the last call.

We have others signed that are not yet announced because our partners would prefer not to announce them until they actually launch, because they do not want to confuse the people in their channel. So we feel good about the fact that we have signed a number of deals that should build over the course of the year. None of them have to build particularly large for us to achieve the 10% year-over-year growth rate target that we desire for this year, and we expect that they will roll out shortly and continually over the course of the year. So it is pretty exciting.

Ryan MacDonald: Really helpful. And then a trend and theme we have been hearing in the enterprise skilling and learning market this year is more commentary about learning in the flow of work—essentially the concept of if I am in my day-to-day role and whether I am interacting with Salesforce or whatever system I am in, it is pushing more learning as I am going through and using those tools. As you think about your content catalog, are you shifting what type of content you are building or the format you are building in to meet this new kind of thematic demand, if you will?

Daniel Rosensweig: Yeah, that is exactly correct. You have tapped into—you know, I am used to three-letter acronyms, but this is the new terminology in terms of what people want to do. What does it really mean? It means that whatever you are teaching them should be able to be used while they are actually using the capability inside their company, and agents allow for that to happen in particular. So I will give you an example on the language side, which may be easier to understand. Let us say you are using VUSU to learn a language to be able to negotiate deals because you are in business development or legal or business affairs or something of that nature.

The capability that we are building in—which goes to exactly what you said—is something that we will call Pulse, and so you might be negotiating in real time, and Pulse will be able to prompt you, in real time and in the flow of work, what language or capabilities or techniques you might need to use. So it goes beyond just the language, but into actually not only what to say, but how to say it. So yes, it all has to be inside the workflow.

And within Skills, even within our Academic Services, we are building some of those capabilities, which we think is some of the reason that we are able to slow down the decline and extend the length of time, which will generate more cash for us. It is because you can go right inside and say, “Listen, do you want to learn how to do this right while you are here?” So think of it as just real-time intervention at the moment for what the person needs, where the technology can blend into what you are doing and what it is capable of doing. And yes, that is exactly why we retooled the company.

In addition to that, there are a couple of elements that I believe the AI era is ushering in. They all seem pretty common sense, which is speed—how quickly can you do something? So some of our partners are requesting content every two weeks now rather than every quarter or every year. The other one is reduction of friction, which is at least partially what you are talking about, which is how do you remove all friction from the experience—for the users of it as well as the creators of it, as well as the distributors of it, as well as the buyers of it.

So every step that you could take out of the way, you can do for the person while they are in it, is what you do. And then quality—the ability to do consistency of quality at scale, which is something difficult for humans to do and less difficult for machines to do. So all of that is at the core of what we are building. We think we are ahead of most people, and at least our partners hear we are ahead of most people, which is why we have been able to sign so many deals so quickly.

Ryan MacDonald: Awesome. Appreciate all the color there. Thanks for taking my question.

Daniel Rosensweig: You bet. Great question. Operator.

Operator: Apologies, sir. Ladies and gentlemen, with no further questions in the queue, we have reached the end of the Q&A. This concludes this event. Thank you for attending, and you may now disconnect your lines.