John Wiley & Sons, Inc.

These responses reflect management's views as of today and will include forward-looking statements. Actual results may differ materially from those statements. The company does not undertake any obligation to update them to reflect subsequent events or circumstances. Also, Wiley provides non-GAAP measures as a supplement to evaluate underlying operating profitability and performance trends. These measures do not have standardized meanings prescribed by U.S. GAAP and therefore may not be comparable to similar measures used by other companies nor should they be viewed as alternatives to measures under GAAP. Unless otherwise noted, we will refer to non-GAAP metrics on the call, and balances are on a year-over-year basis and will exclude held-for-sale assets and the impact of currency. Additional information is included in our filings with the SEC. A copy of this presentation and transcript will be available on our investor relations webpage at investors.wiley.com. I'll now turn the call over to Matt Kister.

Thank you, Brian. And thank you everyone for joining us today. What a difference a year makes. Today we look forward with renewed confidence and optimism as a leaner and stronger Wiley. We are executing with much greater discipline and rigor. We have met and exceeded our stated commitments. And we are seeing strong momentum in our businesses and value creation activities. I'll start by reviewing how we did against our objectives and provide an update on the emerging and exciting GenAI opportunities in front of us. I'll walk through our fourth quarter and full year performance and then review our momentum heading into fiscal 25. Christina will walk through our value creation plan progress, reinvestments, segment performance, and fiscal 25 outlook. After summarizing, we'll open it up for questions. Jay Flynn will be joining us as well. Wiley is enabling the creation of new knowledge and its application in critical areas of the global knowledge economy in science, medicine, technology, and engineering, in business, economics, and finance. As a knowledge company, Wiley has played a foundational role in everything from the industrial revolution to the information age. Now Wiley is beginning to play a critical role in the rise of artificial intelligence and machine learning. Our knowledge, content, tools, and services remain as relevant as ever. It's been a very eventful year for Wiley, and I'm proud to say that we finished strong. Research is seeing strong underlying momentum heading into fiscal 25 after some unusual challenges to start the year. Demand to publish and output are well ahead of expectations. Learning continues to outperform driven by solid execution and favorable market conditions. Gen AI demand is accelerating. We've already executed two content rights projects for large tech companies. I'll talk more about this opportunity in a moment. We're piloting GenAI productivity tools across the organization. We're deploying it in our research publishing platform and using it to drive publishing efficiency and detect research integrity issues. Today's Wiley is about execution, blocking and tackling, and creating meaningful shareholder value. To that end, we have closed on the sale of two of our three divestitures and the third is in process. We further accelerated our $130 million cost-saving program with 70% of it now actioned and in-year savings higher than anticipated. Finally, We increased share repurchases in the second half of fiscal 24 and rewarded shareholders with a dividend raise for the 30th consecutive year. We have more work to do, of course, to realize our full potential, and that work will never end. We are going to continue to deliver cost savings and efficiency gains above and beyond the $130 million program as we drive toward further margin expansion beyond fiscal 26. I am very pleased about our progress so far and very confident in our direction of travel. Let's talk about how we delivered on our stated commitments. When I stepped into the role right around mid-year, I said that we were going to be relentless in our execution and move with certainty on our value plans operational improvements, RE-ORG, and culture. This is what we've done. We delivered revenue at the higher end of our guidance as projected. Today's Wiley is more predictable and focused with greater visibility and consistency. All of us are proud to say that we exceeded our EBITDA and EPS guidance even after revising them upward in Q3. Today, Wiley is leaner, more competitive, and more efficient. We set out to accelerate our restructuring plans and operating improvements over the back half of the year, and we've done exactly that. Last June, Christina projected to exit the year at or better than our fiscal 23 adjusted EBITDA margin, which was 23.3%. We delivered a Q4 margin of 28.3%, or 25.6% excluding the AI deal. This is not a sustained exit rate heading into fiscal 25 as seasonality played a role. That said, we remain on track with our margin expansion targets in fiscal 25 and 26, and we fully expect to deliver on these while reinvesting for sustained long-term growth. As discussed, We have materially exceeded our in-year cost savings goals this year. We originally projected $30 million and ended with $60 million of savings. This is the result of relentless execution and the importance of hitting the ground running. Free cash flow is a consistent strength of ours, and we delivered $114 million versus our projection of $100 million, mainly due to cash earnings outperformance. As a reminder, we're in a muted two-year period for cash flow due to restructuring and investment, but we expect to be back in the $200 million range in fiscal 26 and see continuous upside from there. Finally, the Wiley culture has been reinvigorated by the move to a much simpler and more efficient organization. Everyone is in sync and rowing in the same direction, It's just a lot easier to get things done here. Let's talk about the AI opportunity. Wiley has become one of the early beneficiaries of Gen AI development. Our high quality content in science, learning and innovation is foundational for training and fine tuning large language models and applications. Large AI developers, and R&D intensive corporates can use it to greatly improve the accuracy, safety, and impact of their models and shorten their time to market. Demand is therefore accelerating. This quarter, as previously discussed, we executed a $23 million licensing project with a large tech company for our previously published learning content. We're following that up with a $21 million project with another tech company for a mix of learning and research content to be recognized in fiscal 25. Both of these projects are of limited duration with limited rights and use, in this case for model training purposes. They are non-exclusive, subject to extension, and do not constrain us from pursuing further opportunities. We see the new AI business opportunity in two stages. The first as discussed is content licensing or providing limited access to select content for the purposes of developing Gen AI models. The opportunity is right here and now. In addition to the two executed deals, We're seeing significant interest from other LLM developers for increasingly specific and technical content. This is precisely what Wiley specializes in, with over 200 years of history behind us. It's still too early to size these opportunities, but we are seeing a growing interest while remaining prudent on the scope of the rights granted. The second stage is developing new business models around content application that brings us ever closer to the customer. These include recurring licensing arrangements as these models evolve and as companies bring our content into their AI environments. For example, Wiley is a leading provider of scientific content. We can embed this content into gen AI applications for pharmaceutical companies, healthcare providers, chemical companies, government agencies, and many others. Wiley is also a leading provider of business and economics content, which we can embed into applications with financial services providers. These are just some examples of the opportunities ahead. In addition to content licensing and application, another very real GenAI opportunity for us is in product and publishing innovation. Through various AI-based tools, we are transforming how we publish by shortening authoring time and effort, increasing editorial productivity, and streamlining content workflow. We have already deployed AI into our research platform, using it to safeguard research integrity at the point of article submission. In fact, we've introduced a new service that incorporates six distinct tools to identify potentially compromised content, including papermill similarity detection, problematic phrase recognition, researcher identity verification, and Gen AI content detection, among others. We're already piloting this service with key society and publishing partners as the industry tackles this issue head on. Through our past experience, we've become a thought leader in this area, and we're sharing our insights with others. Finally, we're already deploying AI to materially improve office productivity and customer service as we begin to transform how we work. In customer service, for example, we're already seeing cost savings and reductions in handle time through the latest AI augmentation and automated processes. To summarize, Wiley is highly valued and well positioned in the evolution of AI. With closing deals, developing additional opportunities, and seeing both quality and efficiency gains today. As I've said before, we are confident that the advancement of these technologies will be a contributor to customer value, productivity, and growth in the years to come. Let me briefly touch on our performance for the quarter. Christina will provide more detail. As a reminder, we will be excluding our held for sale or sold assets in our commentary unless otherwise noted. We finished strong due to our accelerated value creation plan savings and the $23 million GenAI Contents Rights project and learning. Adjusted revenue was up 4% to $441 million driven by growth and learning, including the GenAI Content Rights Project. Academic continued to outperform as it has all year. This was partially offset by timing and lower ancillary print and licensing revenue in research. Adjusted EBITDA rose 7% to $125 million from the combination of revenue growth and restructuring savings. As I mentioned, adjusted EBITDA margin for the quarter was 28.3%. Adjusted EPS rose 2% to $1.21, with strong revenue performance partially offset by tech write-offs as part of legacy decommissioning. Our Q4 gap results continued to be impacted by the divestitures and related activity, as well as restructuring. On to our full year performance. As a reminder, Fiscal 24 was a transitional year as we made the necessary moves to become a higher performing and more profitable Wiley. These structural changes and transition year dynamics were evident in our GAAP results shown here. I'll be focusing on our adjusted results. Full-year adjusted revenue declined modestly to $1.617 billion. Outperformance in learning was offset by a decline in research due to the COVID research lag and the effects of the Hindawi disruption. Also note we had some currency favorability on revenue this year of about $11 million. Adjusted EBITDA was down 3% to $369 million, largely due to revenue performance. Our adjusted EBITDA margin for the year was 22.8%. Adjusted EPS was down 19% due to a combination of lower operating income and higher interest and tax expense. And as noted, free cash flow of $114 million compared to $173 million in the prior year due to a combination of transition year factors, including lower cash earnings and restructuring, plus higher interest. As a reminder, we don't report an adjusted free cash flow metric, so this number includes the held for sale assets. Let's talk about our momentum heading into fiscal 25. I'll start with research. Submissions growth, a critical leading demand indicator, has risen to 15% on a trailing 12-month basis. This is considerably higher than we expected and speaks to the global research you demand to publish, be recognized, and further one's career. Wiley enables all of this as a leading peer review publisher. Output growth has rapidly accelerated. After a slow start, we saw marked improvement throughout the year with output growing by mid-single digits in Q4. We're seeing solid growth patterns return in the U.S., EMEA, and Japan. And we're seeing strong demand in the high-growth markets like China and India. In fiscal 25, we expect to see continued mid-single-digit output growth, and that's reflected in our revenue projections. Third, our institutional models are strong with steady growth expected. As a reminder, these models, which include both subscriptions for research libraries and institutional open access agreements with consortia or single institutions, are recurring in nature. Fourth, gold open access is expected to continue to deliver about 20% growth To refresh, Gold Open Access is our author-funded OA model. As always, journal quality and impact are paramount, and we remain very well positioned as a best-in-class publisher with leading portfolios in chemistry, material science, energy, oncology, food science, and many others. Finally, the development of our research publishing platform is accelerating. We recently successfully completed our first large-scale journal migration, and we're now expecting to have the platform fully deployed in fiscal 25, earlier than we originally projected. This platform will allow us to deliver incremental growth by standing up new content offerings and improving article refer and transfer. It should lead to a material reduction in turnaround times and cost per article, and allow us to detect research integrity issues through the use of AI. After some outliers this year, we're now seeing the obvious upside of a simpler Wiley focused intently on its research core. Let's now turn to our momentum in learning. It was a consistently good year above and beyond the Gen AI deal. Market conditions turned favorable, particularly in academic digital content and courseware. Undergrad enrollment increased for the first time since the pandemic. Institutions gravitated towards inclusive access models, where the cost of digital course content is added to the students' tuition and fees. And our STEM courseware product continued to see strong growth in adoptions and usage. We expect this positive momentum to continue. I want to take a moment and commend the team this year for not only delivering better than expected revenue growth, but significant margin acceleration as well. In professional, we're seeing very good momentum in signing up new authors and titles, a result of simply focusing on this profitable business more than we have in the past. Given the long lead time to publish, we'll see the benefit of these signings beginning in fiscal 25. Our assessments business grew modestly in fiscal 24, but we expect better growth from the recent expansion of our sales partner network. Finally, as noted, we're going to continue to respond to and actively pursue opportunities for our learning content in Gen AI models. In summary, we're pleased with our overall momentum heading into fiscal 25. I'll turn it over to Christina.

Thank you, Matt, and hello, everyone. I want to start by thanking our global colleagues for all they've done to get us here. We are a much stronger company than we were last June. At this time last year, we announced our value creation plan. I said then we were about to embark on a clear and decisive plan to simplify our portfolio. This would enable us to focus on our most competitively advantaged businesses in order to drive consistent growth while streamlining the organization, expanding profit margins, and deploying our capital more efficiently. So let's review our progress to date. We reorganized the businesses from three disparate segments into one go-to-market research and learning team under Jay Flynn. This has been a great move for us, and we continue to advance commercial gains and unlock synergies from this important realignment. We've closed on the sale of both University Services and Wiley Edge. Total consideration for both is approximately $175 million, subject to adjustments. Our primary goal here was to free ourselves of these stressed non-core assets to focus on our profitable and cash-generative core. The remaining divestiture across knowledge is in process and is immaterial. We actually have $90 million of run rate savings in our $130 million savings plan. with 60 million of it being realized in-year. The remainder will be actioned in fiscal 25 ahead of schedule. The key drivers here are corporate overhead savings, business savings from the consolidation of various functions in our real estate footprint, as well as technology savings from the retirement of legacy systems and reduced hosting costs. During the year, we further consolidated our office footprint with two office closures and four reductions. Since March of 2020, we've reduced our global office footprint by around 40%. Also note, as part of our tech consolidation and modernization, we wrote off tech debt this quarter. As a reminder, we expect half of the $130 million of savings to flow through the margin and have to be reinvested. This is reflected in our fiscal 25 outlook and fiscal 26 targets. In addition, We will also be reinvesting a portion of the proceeds from our large content deals towards driving sustained profitable growth. Let's talk about where we're reinvesting. Our primary objective is to drive additional growth in research where we have strong competitive advantage and pent-up demand. This includes scaling our journal portfolio and refer and transfer capabilities, extending our flagship journal brands into additional verticals, and optimizing go-to-market to attract and retain authors. It also includes expanding our editorial capacity and corporate research sales teams. We will also invest in signing new in-demand authors and titles on the learning side to better leverage the publishing infrastructure we have in place. Second, we are investing in GenAI growth and productivity initiatives, including optimizing our content for LLM deployment, leveraging GenAI in our content-enabled applications, and developing new business models. We are also investing in AI productivity tools for our colleagues. We're modernizing our systems to improve speed, decision-making, and productivity. We've talked about two specific areas here, our research publishing platform and our infrastructure modernization. We are confident these initiatives will enhance revenue growth and margin acceleration beyond fiscal 26, as we grow to meet the ever-increasing demand to publish and take full advantage of the GenAI opportunity. We also expect to lower our costs to publish through workflow automation, content reuse, and the decommissioning of legacy systems. Finally, we expect to deliver a superior author experience through faster turnaround times and article transfer, which we believe will give us competitive advantage in the marketplace. Let's turn to our research performance in this unusual year. We had the adverse Hyundai impact and the COVID research lag. As noted, the Hindawi Journal portfolio is now integrated within the Wiley Open Access portfolio, and the COVID lag is fully behind us. So I'll focus on the quarter. Research revenue is down 3% due to timing and declines in our ancillary print and licensing revenue. The timing impact involved a portion of our journal revenue slipping into fiscal 25, a fairly common occurrence stemming from the divergence of our fiscal year and the research library budget season. We expect to recover this delayed revenue in Q1. Research Solutions had a down quarter due to soft market conditions for advertising and recruiting, offsetting moderate growth in our publishing solutions business for societies. We have good visibility based on customer contracts signed in fiscal 23 and 24, and so we expect better performance in 25. In Q4, adjusted EBITDA for research declined 12% due to the unusual year-over-year incentive comp swing, which we've discussed all year. Our Q4 margin was 34.6%. In summary, we feel good about research heading into fiscal 25. Strong publishing KPIs and trends are expected to deliver double-digit revenue growth in gold open access, steady growth at our multi-year institutional models, and material improvement in the solutions. Let's talk about learnings outperformance. The team executed exceedingly well in driving both mid-single-digit growth and 600 basis points of margin expansion this year, yet another outcome of a more focused Wiley. For the quarter, academic revenue rose 22% or 8% excluding the Gen AI deal, driven by continued strong growth in digital content and courseware and rights and licensing. Also, according to industry data, U.S. undergrad enrollment rose 1.2% in the fall and 2.5% in the spring, so a positive trend there after several years of decline. Professional revenue rose 13% in the quarter, but was down 5%, excluding the Gen AI deal. Performance was driven by modestly lower backlist and frontless sales. To refresh, Gen AI content revenue is split evenly between academic and professional. Adjusted EBITDA and learning for the quarter rose 54%, mainly driven by revenue performance and cost savings. Our Q4 adjusted EBITDA margin was 43.5%. In summary, we feel good about learning. Higher education market conditions are more favorable now than in recent past, both in terms of enrollment and demand. In professional, we drove higher title and author signings, which will start to come online in fiscal 25 and beyond. In assessments, We expanded the number of sales agents by 19%, which gives us a good outlook for our personality assessment and team development products. Okay, let's move from segments into corporate expenses. For the year, we saw a 4% increase as expected in the corporate line to $163 million, offsetting value creation plan savings. The net increase was largely due to the lower incentive accrual in the prior years due to underperformance, higher executive costs this year related to severance, and transition year consulting fees. Let's turn now to our fiscal 25 outlook. Given many indicators and favorable trends, we're projecting full year revenue of $1.65 to $1.69 billion for a top line growth of 2% to 4%. This is driven by an expectation of low to mid single digit growth in research and low single digit growth in learning. Two important things to note. First, Our outlook includes both Gen AI content deals with 23 million recognized in Cisco 24 and 21 million recognized in Cisco 25. It does not reflect additional content licensing deals for Gen AI models. We will update our guidance during the year if additional deals materialize. Adjusted EBITDA is expected to be in a range of 385 to 410 million for a growth of 4 to 11%. This reflects a margin target of 23 to 24%. Performance is expected to be driven by a combination of revenue growth and continued cost savings partially offset by reinvestment in research, gen AI, and infrastructure modernization. Adjusted EPS is expected to be in a range of $3.25 to $3.60 for growth of 17 to 29%. The primary drivers are higher expected adjusted operating income and accrued interest income from divestitures, offsetting higher interest and tax expense. Free cash flow is anticipated to be approximately $125 million, up from $114 million. This is due to improved working capital and lower restructuring payments, offsetting higher capex and higher incentive compensation payments compared to the normally low payouts in the prior year. As noted, We anticipate CapEx to be approximately $130 million compared to $93 million this year due to near-term infrastructure investments. So, cash flow remains below historical norms in fiscal 25 due to a combination of elevated CapEx and restructuring activities. As a reminder, we expect to be at $200 million in fiscal 26 as cash earnings continue to improve, CapEx normalizes, and restructuring tapers. In terms of quarterly phasing, The $21 million GENAI content rights project in fiscal 25 will be recognized in the first two quarters of this year. Moving on to our financial position. Free cash flow for the year of $114 million was down $59 million as expected. Lower adjusted EBITDA, higher restructuring interest payments, and lower incentive comp payments offset lower capex. For the year, we allocated $122 million towards dividends and share repurchases, up $10 million versus prior year. $45 million of that was used to acquire 1.3 million shares at an average cost per share of $34.71. This compares to 832,000 shares repurchased in the prior year period. Our current dividend yield remains above 3.5%. Finally, Net debt to EBITDA ratio was 1.7 at the end of April compared to 1.5 in the prior year. With that, I'll pass it back over to Matt.

Thank you, Christina. Let me quickly summarize the key takeaways. As we put this very eventful year behind us, there was a renewed sense of confidence and optimism across our organization. We're meeting and exceeding our profit and performance objectives. We're moving decisively to uncover near-term opportunities. We're reinvesting where we have a unique right to win. And we're moving faster and making work life easier. We're seeing strong underlying momentum in research and outperformance in learning. Gen AI momentum is accelerating with two executed content rights projects. We're seeing additional interest from other AI providers. We've made significant progress on our value creation plan, including divestitures and savings. We have more work in front of us, but we have made tremendous strides. We're confident in our fiscal 25 outlook for revenue growth and margin expansion. And we see expected continued margin and cash flow acceleration in fiscal 26 and beyond. I'll finish with our fiscal 26 financial targets. On revenue, we anticipate low to mid single-digit revenue growth as our core drivers in publishing and solutions continue to benefit from ever-increasing demand and a strong competitive position. As with our fiscal 25 outlook, our 26 targets do not reflect any additional GenAI content licensing projects. Our adjusted EBITDA margin is expected to grow to 24 to 25% driven by high quality revenue growth and value creation plan savings. And free cash flow is expected to rise to 200 million as CapEx returns to more normal levels and restructuring payments taper off. Beyond fiscal 26, we're focused on delivering strong, consistent revenue growth at or above market growth, continued margin expansion from greater publishing scale and delivery, leaner processes and operations, and a more efficient infrastructure, and further free cash flow acceleration as cash earnings expand cash flow conversion improves, and CapEx normalizes. I want to thank all of you for joining today. And I want to thank our WALI colleagues for their many achievements this year and their continuous drive and dedication. As I said last quarter, nothing unites us more than being on a winning team. I'll now open the floor to any comments and questions.

At this time, if you would like to ask a question, simply press star followed by the number 1 on your telephone keypad. Again, that is star 1 to ask a question. Our first question will come from the line of Daniel Moore with CJS Securities. Please go ahead.

Good morning. Thanks for all the color and thanks for taking the questions. Just updating my thoughts here. Maybe start, Matt and Christina, with research. Now that we're fully cycled past the headwinds and challenges at Tendawi, as well as the COVID hangover, just talk about the momentum you're seeing in terms of article submissions. Clearly, 15% in the quarter is really strong. Where's that momentum coming from geographically, as well as specific disciplines, and just how sustainable is that type of growth in your mind?

Hi, Dan. It's Matt, and thanks for recognizing that's a critical leading indicator of the health of the research franchise. As we have Jay with us, let me ask Jay, who's close to the market here, to give you some color on that. Jay?

Dan, how are you? Thanks for the question. We are optimistic about the the trends in article submissions and, you know, just a reminder, those, those don't convert and correlate directly with revenue growth. We have, uh, multiple ways to monetize those submissions through our continued growth and subscriptions, as well as our hybrid open access business models and our, and our gold open access models. So, uh, just specifically around sort of breakdown and geography, what we're seeing is a return to growth, essentially globally, uh, in In article submissions, we still see very strong performance in China and in India. Those are still leading markets for growth for us. But encouragingly, the more mature markets, especially the United States and Europe, have also rebounded. And we saw that in the latter half of the year, particularly in Q4. we're looking forward to that continuing i think that's one of the reasons we feel very optimistic about our trajectory and the momentum that we've established in fiscal 24 heading into 25. that's very helpful appreciate it jay um you know switching gears a little bit you obviously talked a lot about the ai tools you're developing and implementing

Maybe just talk a little bit more, take it a step higher, just, you know, 30,000 feet. The changes you've made in terms of processes, procedures, you know, since Ndawi and your confidence that we won't have additional similar issues going forward, you know, given the growing presence of fraudulent research and obviously the scope of the opportunity that you're seeing in Gold Road. Sure.

As Matt mentioned, and we went in the prepared remarks through a list of tools that we already have in production, I have eight AI tools in production right now that are built off the data set that we acquired during the last couple of years that give us indications of where there might be, for example, paper mill activity. It helps us verify who authors are. There's synthetic content detection, image manipulation detection, a whole set of tools. I think the way Matt described it is accurate. We are a thought leader in the space based on hard-won experience. We've announced already partnerships with one society and one publisher, the world's largest membership society in academics, and that's the IEEE and another publisher, Sage, to pilot these tools on their systems, and we've got a lot of inbound interest as a result. I think, as I've said before in my comments, This is an ecosystem challenge, and there's a mix of things happening between incentives, geographies, and the tools that we need to shore up our own processes are deployed now. Matt mentioned progress we're making with our new platform development. I'll point to that as another example of the work that we feel good about heading into fiscal 25.

Yeah, let me add a comment, Dan, just for color. You know, this is a scale business. We'll be presented with over a million articles for candidates for publication today. So the investments we're making in infrastructure and AI are critical for enabling us to take advantage of economies of scale here.

Very helpful, Matt, and certainly Jay, the color. Obviously, great to hear the interest in AI and machine learning continues to grow. You have the $23 million deal this quarter, really encouraging another $21 million deal in early fiscal 25. I know it's hard to size the opportunity, but when you think about it generally, has the lowest hanging, highest revenue fruit kind of been picked? Or do we think of these as relatively small, toe-in-the-water type deals, you know, as you get your hands around the opportunity relative to what licensing could grow into over time?

A couple of thoughts. This is Matt, and then I'll ask Jay to comment also. We're at the beginning of a wave here, I think, and we're learning as we do this. We're approaching it very cautiously. Each deal is highly customized. but there is considerable interest. The question is, we want to pursue this on terms that are favorable to both us and the licensee. And so we're very cautious about structuring these deals in the most effective way to protect our future rights, but still take advantage of the fact that the kind of content we have, which is fact-based, indexed quality content is very appealing to these LLM model builders. And the other desire we have is to convert these future deals into more of a recurring revenue arrangement than a one-time revenue arrangement. So I would say we're in the early days from a learning point of view, but there is considerable interest we're seeing. Let me ask Jay to add his comments.

fully aligned with that. I think what we're seeing in the market is obviously interest from the, the big tech companies who are doing training. Uh, but as Matt noted that, and that opportunity is substantial and we're, we're encouraged by it, but as Matt noted, there are, we're very, at the very beginning stages here of, of, of this revolution in, in information technology and information services. And we're well positioned, I think, to support the needs of various end markets who are building their own in-house tools to support, for example, drug discovery and life sciences and chemistry and oil and gas and computer science and engineering. We publish some of the best material in the world on that. And so one of the things we'll be focused on in fiscal 25 is the information needs of those end markets, as well as the continued development, as I mentioned earlier, of tools to support our own internal quality processes and product development.

Perfect. Maybe switching gears a little bit, and this might be a little bit more Christina, but 90 of the 130 million run rate cost savings now actions I assume the remaining 40 million will fall in fiscal 25 or most of that. Is that fair?

Yeah. Hey, Dan. That's accurate. We'll have about 40 million action in 25. That's ahead of schedule. And we are feeling really good about the momentum off of that as well. About half of that is corporate and organizational optimization. And about 40 of that is tech reductions and strategic business decisions. And the last part of that is just business operation optimization. So These are trends that we were able to accelerate. And as we got more focused on what we were really spending our time and energy on, we were able to really execute that in a really effective way.

Very helpful. And then of the, I think you said 60 million was realized in fiscal 24. Is that right? in-year yes in-year um and so the the in-year okay so was half of that reinvested in other words i know half of the 130 will be ultimately reinvested but is that ratio that that kind of hold in year versus what's to come approximately yeah yes when we're in the ballpark so it's not like yeah reinvestment is still to come or anything like that okay um very helpful and then the capex guide 130 million this year is that right that's right and it's still given the the ebitda guide um 125 million i guess what i'm the punchline is 125 million free cash this year seems potentially a little light to me even with the elevated capex um Maybe just talk about your working capital assumptions and whether there could be a little bit of conservatism built in to that expectation.

Sure. We still, you know, we are, we're still coming out of our transformation year. So, you know, we've got a couple things that we are grappling with in 25. One is the payment of our incentives from this fiscal 24 year. which is an elevated number, because if you recall, and we talked about all year of the year before we had definitely reduced our, our incentive payments. So that's the, you'll see the last of that coming through in 25. That's about 30 million. And then we've got, you know, obviously the elevated CapEx versus this year. And then, and then a couple other small things that, that are just, that are impacting that. However, We are seeing, you know, we are seeing momentum, you know, as we come out of, I know, out of all those things as we're executing our strategy. And so we're going to continue to monitor this. I also want to, you know, just mention on the GENI ideal we talked about for the first half of fiscal 25, we are using a lot of those proceeds to redeploy back into the business, as Jay rightfully mentioned. because we really want to make sure that we're seizing this opportunity for not just Gen AI, but also to drive harder on our research opportunity and our learning opportunity. So those are the broad strokes of what you're seeing in free cash flow.

Makes sense. And that does not include potential cash payments from dispositions, correct?

No, it does not.

Correct. Okay. And then lastly, we just talked about capital allocation issues. Obviously, you picked up the pace on buybacks, free cash flow. We'll pick up this year, but then should really accelerate in fiscal 26. And given the stickiness of your model, are you likely to be increasingly aggressive in terms of buying back shares, given the comfortable leverage? Or just talk about your priorities for capital allocation for the next 12, 24 months. And thanks for all the color.

Yeah, yeah, sure. So we're going to continue to respond to opportunities. for capital deployment and strategy as we go. You did see us increasing our share purchases and rightfully so, you know, and that was even during this muted cash period. We're going to continue looking at different things as our free cash flow climbs back up towards our normal, I'll call it steady state. And we do have a very intricate repurchase plan that will monitor our volatility and our stock price as we go and capitalize on it as we see see what our capital deployment needs are versus the market. So we feel really good about that, actually. Yeah.

Okay. Very good. Congrats on obviously all the progress this year and look forward to catching up soon. Thanks again.

Thank you.

Thank you, Dan.

Again, for any questions, press star one on your telephone keypad and your next question will come from the line of Nick Dempsey with Barclays. Please go ahead.

Yeah, good morning, guys. Just about the AI deals. I wonder if you can tell us, is it your book backlist content that is being digested, absorbed rather than your journals? Sorry if I missed that. And the second question, in terms of how many other people out there who are interested in paying money for this, are we talking a handful more or could it be 10 plus?

It's Matt. I'll begin and then ask Jay to fill in any blanks I've left. So it is book content at this point. And in terms of interest, you know, obviously it's a concentration of the tech companies. Today it's a concentration of the tech companies who can afford to build the large language models, which are very expensive to develop. However, There are extensions of this as companies look to tailor these models to their particular markets. So there are potential markets, for example, let's say in pharmaceutical where a pharmaceutical company might want to augment the model with very specific training data that fits its particular market needs. So, you know, again, as I said, it's early days as this market is developing, but there will be, I believe, extensions as people look to augment the large language models.

Jay, do you want to embellish on that? Happy to add a little bit more color, Matt, but I think you nailed it. First of all, great question, and we're encouraged by the interest that we're seeing. We're getting inbound interest from a variety of sectors as Matt described. And I just want to reiterate that this is something we're approaching on a deal by deal basis where, uh, we are in fundamentally, we are in, um, the rights business in many ways. And so this is well trodden ground for us in terms of, uh, negotiating these kinds of agreements, but AI is a new frontier and, and the opportunities that AI presents us with, um, as, as Christina mentioned, they give us an opportunity to reinvest in our core. as well as grow our own internal AI capabilities. So I don't want to characterize, you know, in terms of numbers, the size of the current interest, but as a high quality information services provider in the disciplines that drive, you know, the global economy, we feel very well positioned to be a provider of content, tools, and services related to the AI opportunity.

Thanks. Can I just tack on a quick follow-up? Would you ever think of doing this with your journal content, or is that more complicated by the monetization model for journals, relationship with authors, etc.?

So, let me stress that none of these deals are what I would characterize as simple, right? In the book world, in the journal world, and the database world, we were very clear that we have to exercise diligence and we have to be very clear on rights and things like that. What I will say is that there will be opportunities for us to explore licensing both journal and book content. Journal content is increasingly relevant in the in the AI context for the markets that Matt just mentioned, in the context of large corporate R&D, in the context of engineering and physics, medicine. And so when those opportunities present themselves, we'll explore. A lot of these companies buy our content already. And so one of the things they're certainly interested in and we're certainly interested in is talking to them about acquiring rights to use that content in ways that are integrated into their own AI programs. And of course, as I said before, we have opportunities to use AI to develop our own products and services there too.

Thank you. That's very clear. Thank you.

And there are no further questions at this time. I'll hand the call back over to Matt Kistner for any closing remarks.

Thank you for joining us, joining the call today, and we look forward to sharing more progress on our Q1 earnings call in September. Thank you. Have a great day.

That will conclude today's meeting. Thank you all for joining. You may now disconnect.