Operator: Ladies and gentlemen, welcome to the Cognizant Technology Solutions Q3 2026 Earnings Conference Call. All lines have been placed on mute to prevent any background noise. After the speaker's remarks, there will be a question and answer session. If you would like to ask a question at that time, please press star one on your telephone keypad. A confirmation tone will indicate your line is in the question queue. You may press star two if you would like to remove your question from the queue. For participants using speaker equipment, it may be necessary to pick up your handset before pressing the star keys. Thank you. I would now like to turn the call over to Mr. Tyler Scott, Senior Vice President, Investor Relations. Please go ahead, sir.
Tyler Scott: Thank you, operator, and good morning, everyone. Welcome to Cognizant's Q3 2026 Earnings Call. I am joined today by Ravi Kumar, Chief Executive Officer, and Jatin Dalal, Chief Financial Officer. By now, you should have received a copy of the earnings release and investor supplement. If you have not, copies are available on our website, cognizant.com. Before we begin, I would like to remind you that some of the comments made on today's call and some of the responses to your questions may contain forward-looking statements. These statements are subject to the risks and uncertainties as described in the company's earnings release and other filings with the SEC. Additionally, during our call today, we will reference certain non-GAAP financial measures that we believe provide useful information for our investors.
Tyler Scott: Reconciliations of non-GAAP financial measures, where appropriate to the corresponding GAAP measures, can be found in the company's earnings release and other filings with the SEC. With that, over to you, Ravi.
Ravi Kumar: Thank you, Tyler. Good morning, everyone. Thank you for joining us. We delivered a solid Q3 while advancing our AI builder strategy. Revenue was in line with our expectations, and adjusted operating margin reached its highest level in four years, reflecting continued execution in a rapidly evolving market. We maintained strong momentum in financial services, where clients are increasingly using AI to accelerate modernization and address new areas of demand powered by AI-led innovation cycles. We are building the deployment capacity and differentiated capabilities that we believe can help clients move AI into production at enterprise scale and capture more of its value. We see an opportunity to capture more of that value through platforms as well as deployment services. Looking at the quarter's highlights.
Ravi Kumar: Revenue grew 4.8% YoY in constant currency, led by strong performance in North America, including contribution from our recent 3Cloud and Astreya acquisitions and our integrated offering strategy. Financial services accelerated to 12% year-over-year constant currency growth, its third consecutive quarter of double-digit growth. Communications, media, and technology also grew double digits, driven by inorganic contributions from Astreya and strong spending from technology clients. Trailing 12 months bookings increased 4% with the mix of new versus expanded business growing over 10 percentage points year over year to 60%. We signed three large deals with TCV of more than $100 million each, while the combined trailing 12 months TCV of large deals increased 9% year over year. Adjusted operating margin increased year over year to 16.3%, the seventh consecutive quarter of year-over-year expansion. We also continue to see indicators that AI is changing our operating model.
Ravi Kumar: Revenue and adjusted operating income per associate, excluding GenC trainees, increased more than 3% and 5% respectively. Through the end of Q3, we estimate more than 50% of our software development was AI-assisted, and we have over 8,500 AI engagements. We achieved these results in a complex demand environment. Although macroeconomic conditions were largely stable in Q3, we are seeing the macro uncertainty weigh more on discretionary spending in Q4, particularly in healthcare and consumer-facing sectors. We have reflected these factors in our updated full-year guidance, which Jatin will cover in more detail. Despite these factors, we are still delivering revenue growth that ranks among the top of our peer group.
Ravi Kumar: Against this backdrop, our strategy and actions are aimed at building the necessary capacity to deploy AI at enterprise scale, capturing more of the value between AI intelligence and the enterprise, and applying these capabilities to the areas where we see the greatest growth opportunities. Historically, major technology transitions required capacity to deploy new technology at scale. We are building the capacity across our talent engineering platforms and partner ecosystem with leading frontier AI companies, hyperscalers, and enterprise technology providers. More than 45,000 Cognizant associates have earned more than 95,000 certifications across frontier AI platforms and another 65,000+ are in progress. We recently expanded our Google Cloud partnership with a new Gemini Frontier Capability Group, bringing together more than 18,000 dedicated Cognizant associates focused on legacy modernization, developer experience, autonomous business processes, and frontier cyber defense.
Ravi Kumar: We are also proud of the strong momentum created through our Gemini Partner event, where more than 55,000 associates completed Build with Gemini, the largest Gemini partner workshop to date. With this deployment capacity in place, we believe our larger opportunity lies in helping enterprises turn AI intelligence into differentiated business value. As AI moves into production, that value increasingly comes from reimagining how work gets done, providing the enterprise context AI needs to operate effectively and build the trust and governance required to deploy it at scale. Our AI builder strategy is designed to bridge this gap between AI capability and enterprise value through four connected areas. First, reimagining how work gets done. This starts with redesigning business workflows, operations, and roles around what AI now makes possible in new Cognizant proprietary methodology in agile pods engaged in reimagination and reinvention of business landscapes.
Ravi Kumar: Work once handled by software systems and human teams will increasingly be performed by a new combination of systems, people, and AI agents. We have pioneered the discipline of context engineering to develop our associates' expertise in this discipline. We believe we are building the specialized engineering capacity needed to build agentic systems at scale. Second, engineering enterprise-grade AI. Putting reimagined work into production as bespoke agentic systems requires enterprise-grade systems, meaning governed, trustworthy, safe, and grounded in the enterprise context. This is an area where we believe our platforms will play a critical role. This allows us to embed our capabilities and IP directly into delivery, scale them across clients, and increasingly bend the cost curve. Our platform opportunity rests across two pillars. First, engineering platforms support the end-to-end engineering life cycle through AI-led engineering and modernization.
Ravi Kumar: Second, business platforms apply to repeatable business processes, particularly bounded workflows where AI can increasingly perform and improve the work. The third area of our AI builder strategy is building the capacity to help clients absorb AI. Effective enterprise AI adoption requires the right skills, tools, and ways of working. We are putting into this practice inside Cognizant through Skillspring, our AI native learning platform, which is now used by approximately 315,000 associates. We are also making the platform available to clients and are building an active pipeline of opportunities. Finally, compounding and protecting institutional intelligence. As AI is embedded in more workflows, enterprises need greater visibility into and control over how AI is used while protecting their institutional intelligence and sovereignty.
Ravi Kumar: We recently launched Cognizant AI Nexus, a modular multimodal operating layer that helps enterprises govern AI quality, manage spend, coach in real time, compound repeatable patterns, and connect AI consumption to business outcomes across teams. It illustrates how we aim to help clients manage AI as an enterprise capability while learning from its use and making that institutional intelligence more valuable over time. Together, these four elements of our AI builder strategy are designed to help clients turn AI capabilities into enterprise value while positioning Cognizant to capture more of that value. Now, let me discuss how our AI builder expands the opportunity for Cognizant in three areas. First AI-led productivity and autonomous software engineering, which is increasingly becoming the baseline for how we deliver our traditional work.
Ravi Kumar: Second, old things in new ways, which is using AI to perform existing work in fundamentally new ways, changing the economics of modernization and enterprise workflows. And third, new things in new ways. AI creates enterprise new services, platform, and operating model opportunities that were not previously possible. Together, they increase our total addressable spend and create expansive opportunities on enterprise landscapes, yielding new avenues of growth for Cognizant. To capture these opportunities, we are evolving how Cognizant operates by reshaping our organization, talent, and commercial model for an AI-led market. Notably, we have aligned our software engineering group portfolio around AI-led software engineering and modernization. This shifts the group's focus from engineering disciplines to client outcomes, industry context, and frontier capabilities. We expect this shift will improve how we build and deploy AI-native capabilities while giving associates clearer paths to develop frontier expertise.
Ravi Kumar: In parallel, we are evolving our workforce, building frontier roles around the capabilities needed to design, deploy, and operate AI-native solutions. These roles combine engineering, AI fluency, and business expertise with greater accountability for client outcomes, and they are complemented by our investments while leading frontier AI partners I discussed earlier. We are also adding capabilities through targeted acquisitions. Last week, we announced our intent to acquire Australia-based DyFlex Solutions, an SAP Platinum partner, to deepen our SAP expertise and strengthen our ability to help clients across Australia and New Zealand modernizing their core platforms. Our commercial model is also evolving. As human and digital labor increasingly converge in delivery, we see more opportunities for outcome-based pricing, AI-infused rate cards, and platform monetization. More broadly, our mix of fixed price and transaction-based work is steadily increasing.
Ravi Kumar: In the third quarter, this mix was nearly 58% of our revenue, up 140 basis points year over year, and more than 500 basis points since the third quarter of 2022. And we are expanding the reach of these capabilities. This month, we announced Cognizant Activate, which is designed to bring enterprise-grade AI transformation to emerging high-growth mid-market companies aspiring to reach the Global 2000 scale with an operating model purpose-built for the size. Next, as we evolve our operating model, the AI disruption has created the immediate next wave of client opportunities, and accordingly, we have identified four strategic growth priorities that we believe can drive disproportionate growth. Modernization, agentifying core business operations, secure AI, and data center and workplace services. Together, we believe these represent a multi-billion dollar opportunity in the years ahead.
Ravi Kumar: We are focusing our investments and efforts in these areas with partnerships playing an important role. First, starting with modernization. AI is changing the speed and economics of modernizing legacy technology data and enterprise applications. For example, we expanded a decade-long relationship with Gilead Sciences through a new five-year agreement supporting the responsible application of agentic AI across selected programs, simplifying processes, and improving software delivery. At Travelport, we completed the first phase of the AI transformation we announced with Anthropic in May, establishing the platform's architecture and engineering practices needed to modernize its technology environment. At Odyssey Logistics, a global logistics provider, Cognizant used autonomous AI engineering to rebuild Odyssey's transportation management platform, resulting in a 37% net savings compared with the conventional approach. The second strategic growth opportunity is agentifying core business operations. We see a significant potential to reimagine workflows with agentic AI and our platform strategy.
Ravi Kumar: As I mentioned earlier, we will prioritize bounded workflows. Bounded workflows are primarily built on 4 principles: structured inputs, measurable outcomes, high transaction volumes, and short feedback loops. Our investments in this space are based on our external market study, and we are initially concentrating on key areas where we believe we have the right to win with our domain strength, and thereby significantly create potential for frontier-enabled platforms. These include long-term care as an adjacency to our existing healthcare platforms, mortgage operations, drug safety and pharmacovigilance, insurance operations, and the frontier finance function. We will start with these segments. As we make progress, we will continue to identify more segments for building frontier-enabled platforms and services. A few early examples are as follows. First, healthcare claims.
Ravi Kumar: We recently introduced agentic workflow processing for TriZetto that allows AI agents to automatically clear eligible routine pending claims while routing exceptions to human reviewers. It is designed to reduce manual intervention while preserving human judgment where it is needed. At SITA, a global specialist in air transport technology, we are helping build a frontier finance function on a modern cloud platform spanning finance, procurement, and supply chain. Cognizant will work with SITA to implement a cloud-based ERP and management platform. The goal is to move finance beyond reporting and transaction processing towards a more strategic role built around data, AI, and measurable business value. Next, for the European Bank for Reconstruction and Development, we are applying AI across a complex, highly governed technology environment, combining AI-enabled delivery and platforms, including Neuro, Flowsource, and WorkNEXT, through outcome-led managed services and fixed capacity services models.
Ravi Kumar: At Talcott, we helped modernize its corporate and bank-owned life insurance business operations by launching a next generation policy administration platform. We embedded governed AI across the delivery cycle from requirements and design to engineering, testing, and implementation, driving 30% productivity gains. Our third strategic priority is secure AI. As AI is embedded more deeply across enterprise systems and workflows, trust and security becomes prerequisites for scaled adoption. While securing agentic systems unlocks new demand, we are equally excited about the ability to leverage frontier intelligence for vulnerability discovery and remediating and refactoring existing landscapes with frontier intelligence being a much bigger opportunity. Our cybersecurity business is our fastest growing service line. We are building our capabilities through our Neuro AI Trust platform and frontier cyber defense workforce.
Ravi Kumar: As an inaugural member of the OpenAI's Daybreak Cyber Partner Program, we are combining advanced frontier AI models with our security expertise, governance, and human oversight to help clients identify vulnerabilities and validate fixes faster. We are deepening our work with CrowdStrike, bringing their Falcon platform into the Cognizant AI Factory and our managed cybersecurity services to help secure AI agents, models, and infrastructure. Finally, the fourth strategic priority is data center and workplace services. The trillions of dollars being spent on AI infrastructure build-out creates opportunities across data center operations, networks, AI environments, and digital workplace services. Our Astreya acquisition strengthens our ability to serve this market and show early momentum during the quarter, including an expanded engagement with Google. Beyond these 4 strategic growth priorities, we are building capabilities in the emerging area of physical AI.
Ravi Kumar: We recently signed an agreement with one of North America's largest utility companies to deploy our flagship physical AI platforms, Cognizant Intelligence Spine and Autonomous All-Domain Awareness for utilities. Together, we aim to fuse sensor vision and edge intelligence into a single real-time view to enhance wildfire prevention and grid safety, and to accelerate multi-agent coordination and field response. We see a healthy pipeline of similar opportunities in asset-heavy industries like manufacturing, life sciences, retail, and consumer sectors. We continue to keep this flywheel running on identifying new waves of demand by sensing, incubating, and scaling for the next set of opportunities unlocked by AI disruption. In summary, we view agentic AI as the most significant enterprise opportunity since digitization, and clients are increasingly focused on converting their AI investments into measurable business outcomes.
Ravi Kumar: We believe our AI builder strategy expands the opportunity ahead and opens multiple avenues for growth, particularly across the four strategic priorities I outlined today. We continue to strengthen our core business while investing in the capabilities, talent, and platforms needed to deploy AI at enterprise scale. We are doing this while delivering top-tier revenue growth, expanding margins, and EPS growth ahead of revenue growth. We remain focused on disciplined execution and creating durable long-term value for our shareholders. Thank you to our associates, clients, partners, and shareholders for your continued support. Now I'll turn the call to Jatin.
Jatin Dalal: Thank you, Ravi, and thank you all for joining us. We are positioning Cognizant for a rapidly changing market by deepening our technology partnerships, building new relationships across the frontier AI ecosystem, and evolving our go-to-market, commercial, and delivery models. We are also pursuing targeted M&A to add capabilities to advance our AI builder strategy. Together, these actions strengthen our ability to help clients generate measurable business value from AI. We believe our financial performance gives us the capacity to keep investing while remaining disciplined with capital allocation and capital returns to shareholders. We are delivering results today while strengthening the business for the future. Now, moving on to the details of the quarter. In Q3, revenue grew 4.8% year over year in constant currency to $5.7 billion. Organic growth was again led by financial services, supported by continued ramp of large deals.
Jatin Dalal: Year over year growth also benefited from our investments in 3Cloud and Astreya, as well as higher third-party product revenue associated with our integrated offering strategy. We see integrated offering as an increasingly important opportunity as clients seek partners that can combine services, software, infrastructure, and security to deliver outcomes. As AI moves further into production, we expect these models to evolve, including how inference and AI consumption are incorporated into our solution delivery. As Ravi discussed, we are concentrating investment and go-to-market activity in areas where we believe AI can expand the scope of work we address. We are already seeing encouraging growth in several of these businesses, like BPO, infrastructure, cybersecurity, and industry solutions.
Jatin Dalal: Year to date, we estimate that service lines that are benefiting from AI tailwinds account for approximately 40% of our business and are growing at roughly 2 to 3 times the rate of our total organic services revenue. Geographically, North America again led growth. UK saw strength in public sector, while rest of world improved sequentially. By segment, financial services led again with heavy growth across banking and capital markets, recent new logos in insurance, and UK public sector growth I just mentioned. Legacy modernization programs continue to gain momentum as clients advance their AI journeys to tackle significant technology debt. In health sciences, uncertainty caused by regulatory and funding changes continues to constrain discretionary spending. During the quarter, we unified our payer and provider businesses to better align with a healthcare ecosystem that is increasingly integrated across traditional payers and providers.
Jatin Dalal: We believe our healthcare expertise, end-to-end ecosystem relationships, and experience with mission-critical healthcare workflows position us well to better serve our clients across these boundaries. Our TriZetto business demonstrates the value of combining software, services, and deep domain expertise, and we see opportunities to apply that model more broadly across the healthcare value chain. Products and resources remains pressured as clients in retail, consumer goods, and travel and hospitality continue to contend with geopolitical uncertainty, supply chain disruption, and elevated oil prices. However, we see good momentum in manufacturing, logistics, energy, and utilities, where physical AI, smart manufacturing, and cost reduction initiatives, particularly among auto companies, are creating new opportunities for us. We also delivered strong sequential growth in Belcan, driven by the ramp of recent large deals. In communications, media, and technology, clients in comms and media continue to face significant cost pressures and intensifying competition.
Jatin Dalal: Demand from technology clients remains strong, driven by AI engineering, digital operations, data and cloud services for our top clients. Astreya continues to show momentum and contributed to one of the 3 large deals we signed in the quarter. Turning to bookings. On a trailing 12-month basis, bookings grew 4% and represented a book-to-bill of 1.3. We saw double-digit growth in our medium-sized deal band, and we are pleased that new and expansion bookings are up 16% year to date. We are also encouraged by momentum we see in Europe, which contributed one of the large deals during the quarter. Annual contract value decreased modestly on a trailing 12-month basis, reflecting longer contract terms. Moving to margins. During the quarter, we incurred approximately $51 million in costs related to Project Leap program we initiated in Q2.
Jatin Dalal: Excluding this impact, Q3 adjusted operating margin was 16.3%, up 30 basis points year over year. Project Leap savings and favorable currency more than offset higher compensation costs and investments we are making across our AI partnerships, integrated offering strategy, and M&A. Now to details on EPS, cash flow, and capital allocation. Q3 adjusted EPS was $1.49, up 7% year over year, driven by revenue growth, margin expansion, and lower share count. Growth was partially offset by higher interest and tax expenses. DSO was 89 days, up 5 days year over year, primarily driven by a change in business mix. Q3 free cash flow was $925 million, bringing year to date free cash flow to $1.6 billion. During Q3, we deployed over $250 million on share repurchases and bought back 4.9 million shares at an average price of approximately $53 per share.
Jatin Dalal: Year to date, we have deployed $2.3 billion to shareholders through share repurchases and dividends and remain on pace to deploy about $2.6 billion for the full year. Finally, we ended the quarter with cash and short-term investments of $1.6 billion. Turning to our forward outlook. While demand was largely steady through Q3, the macro uncertainty has impacted healthcare and consumer-facing sectors more than we had previously assumed. Financial services and North America MLU performed better than our expectations, but it was not enough to offset the incremental areas of softness. These macro factors have led to additional pressure on discretionary spending. Our Q4 and revised full year guidance reflect this market dynamics. The guidance now assumes slightly lower contribution from third-party resales associated with our integrated offering strategy and higher impact from furloughs in Q4 than previously expected.
Jatin Dalal: For Q4, we expect revenue to grow 3.2% to 4.7% year over year in constant currency. This includes approximately 200 basis points from our recently completed acquisitions. Our full year guidance is now 4% to 4.4% growth in constant currency, compared to 4% to 5.5% previously. This updated range is within the initial guidance we issued in February, and we expect it will represent top-tier revenue growth this calendar year. Our revenue guidance includes approximately 150 basis points of inorganic growth, which is unchanged. Our M&A pipeline remains active. The DyFlex acquisition we announced last week is expected to close in Q1 2027. We have also revisited our Project Leap estimates. We now expect total cost of $180 million to $250 million, down from our previous estimate of $230 million to $320 million. This is driven by lower employee severance and other personnel-related costs.
Jatin Dalal: We now expect to generate in-year saving of around $200 million in 2026, consistent with the lower end of our prior range. These updates reflect changes in the program's timeline, which is now expected to run through Q1 2027. They also include a modest reduction in scope enabled by our success in reskilling and redeploying our workforce. We are narrowing our adjusted operating margin guidance to approximately 16.1%, which is midpoint of our prior range and represents 30 basis points of year-over-year expansion. We continue to expect free cash flow conversion to be 90% to 100% of net income for the full year. Our full year tax rate guidance is around 25% compared to prior range of 25% to 26%. We expect our Q4 rate will be modestly above the full-year guide.
Jatin Dalal: Our full year weighted average dilutive share count guidance of approximately 460 million is unchanged. We are narrowing our full-year EPS guidance range to $5.72 to $5.79, representing 8% to 10% growth. Now, I will take a moment to address the Department of Labor's recently announced suspension of new PERM or permanent labor certification applications for some companies, including Cognizant. Today, we have approximately 32,000 employees in the US, and we have invested significantly to scale our local talent base over the last several years. We do not expect the PERM suspension to have a material impact on our talent strategy or operations. Finally, regarding our evaluation of a potential primary offering and secondary listing in India, we continue to work closely with all stakeholders.
Jatin Dalal: We are monitoring for proposed updates to the regulatory framework, which we understand may be made public in coming months as part of a required comment period. Once that is available, we are prepared to complete our evaluation expeditiously and make a decision. Overall, we remain pleased with the progress and will provide updates as appropriate. With that, we will open the call for your questions.
Operator: Thank you. We will now be conducting a question and answer session. If you would like to ask a question, please press star one on your telephone keypad. A confirmation tone will indicate your line is in the question queue. You may press star two if you would like to remove your question from the queue. For participants using speaker equipment, it may be necessary to pick up your handset before pressing the star keys. In the interest of time, we ask that you limit yourselves to one question and one follow-up. Thank you. Our first question comes from the line of Tien-Tsin Huang with JPMorgan. Please proceed with your question.
Tien-Tsin Huang: Hi. Thanks a lot. Good morning, everyone. My first question is still I would ask on bookings and how it came in versus plan and how the backlog and the pipeline looks now, given what you had last year at the same time, and any additional color there.
Ravi Kumar: Thank you, Tien-Tsin, for that question. Look, bookings has always been You could always look at it trailing 12 months just because of the bumpy nature of how bookings are. Our trailing 12 months is 4% for more than $100 million deals. We actually did 9% trailing 12 months. One of the things I have noticed now in 2026, earlier last quarter, Jatin mentioned how renewals on productivity are almost on the tail end, if I may, because last time we said 50% of portfolio is rebaselined on productivity. So renewals are actually lower and the new bookings are higher now.
Ravi Kumar: Our renewable percentage was roughly in the range of 48%. Our new bookings was roughly in the range of 48%, and now it is actually 60%. The good news is new bookings will quickly translate to revenue. The book-to-bill still remains at 1.3, but the translation to revenue will be faster because new bookings are now 12% higher in TTM basis over the last quarter. In summary, the large deals continue. New bookings are, new and expansion is 12% more. Europe has built significant momentum. I feel like as discretionary comes back, the smaller deals will also come back. Healthcare specifically, normally in Q4, we expect enrollments on Medicaid and Medicare. One of the reasons why our Q4 numbers are a little bit softer than what we thought is because there is regulatory uncertainty on Medicaid and Medicare.
Ravi Kumar: That is getting re-baselined as we get into 2027. 2027 will start to feel like healthcare is in a new spot. In fact, healthcare will also start getting funding from states, or there will be new leash of funding from states to cover that up, and hopefully the regulatory pressure will go away on healthcare. On financial services, we have done 12% plus growth over the last three quarters, and our bookings has been on a historic high in financial services. It is one of our best. I am pretty optimistic about how bookings is going to look like for the future because we now have more proportion of new business, and as discretionary comes back, that will fill up the smaller deals.
Tien-Tsin Huang: Yeah. That is great. That is good detail. Just my quick follow-up then. Maybe, can you elaborate on the 40% of business that is seeing the AI tailwinds? I think you mentioned two to three times faster organic growth for services there. Can you just confirm that, and then just what it implies or what we can infer for the remaining 60%?
Jatin Dalal: Sure. Tien-Tsin, I will take the question. Effectively, we have spoken about four services which we can see are beginning to see some AI tailwind services and pickup. They are BPO infrastructure, cybersecurity, and industry solutions. Combined, this account for 40% of our portfolio, and they are growing faster. That, of course, assumes that the rest of the 60% is not growing as fast. But if you see it as a brick in the wall, there is one that is looking different than the rest of the business. That is the update that we shared.
Operator: Thank you. Our next question comes from the line of Jason Kupferberg with Wells Fargo. Please proceed with your question.
Tyler DuPont: Hey, good morning, Ravi and Jatin. This is Tyler DuPont on for Jason. Thanks for taking our questions. I wanted to start with the updated guidance and I guess its implications as we move through the rest of this year into 2027. Understanding that you guys won't provide any 2027 targets until the February call. As we are trying to sort of unpack the expected organic constant currency growth, it looks like there is going to be some detail potentially into Q4 versus how do we think about that relative to 2027? Should we use Q4 exit as a reasonable proxy for that metric into 2027? Just how are we thinking about a return to accelerating growth as we move through the balance of this year and into next year?
Jatin Dalal: Sure. If you see the guidance range for Q4, it is 3.2% to 4.7%. At midpoint, it is approximately 4%. For the full year, even at midpoint of 4.2%, we would be both on total growth basis as well as on the organic basis, would be delivering a top-tier performance vis-à-vis rest of the players. The first point I want to make is that this year, even with the reduction in guidance, we still firmly believe we are delivering a robust performance for 2026. Now to your question on the outlook for 2027. As you can imagine, it is a little early for us to comment for 2027. Of course, the most recent data point that you have for 2027 is the exit total and organic of Q4, which is at 2% and 4%.
Jatin Dalal: Even at 2% organic, the number is higher than most other large companies and their exit 2026 number. Overall, we feel good that in a tough environment, Cognizant continues to perform well, is preferred choice for our customers, and we will see how we further accelerate when we go to 2027. This is the most latest data points that we are sharing.
Ravi Kumar: I might want to add just one thing here. Look, financial services, three quarters in a row, we are double-digit growth. Even Q4 of last year, we had 9%+ growth. So it is literally four quarters back-to-back. Financial services will go into 2027 in a good spot. It is 37%-38% of our business. Healthcare will have more stability. As you have seen, we did not grow in healthcare. It will have more stability because Medicaid and Medicare funding will stabilize. Rather, it has started to get stabilized. So healthcare will pick some momentum. Then we are dependent on macro for consumer goods because how the global macro works out on consumer goods, which is dependent on it. Our business in industrial manufacturing, energy, oil, and gas in the US is starting to be one of our fastest-growing businesses. So we think that will shape well.
Ravi Kumar: This is a new muscle we have built. Technology has done very well. Comms, as an industry, is still coping up with a lot of cost pressure. So I think there are a lot of variables, but if you look at it, a large part of it is you have to start to think about financial services as the pioneering industry which has pivoted from productivity to new growth imperatives using AI. I am certain that the other industries will start to open that up as discretionary comes up. Here we are now talking about 2027, no longer about whether AI is a tailwind or not. I mean, that question is already answered. AI is a tailwind. There is no doubt in my mind. Now it is up to how are we going to get discretionary climbing back in every industry so that that money translates back to technology spend.
Tyler DuPont: Yeah. I appreciate all the detail there. That is very helpful for us. I guess, just as a follow-up, changing topics a bit. It is interesting to see the re-scoping of Project Leap in the quarter. Can you maybe just unpack the components there? I know severance was lowered, so presumably you are keeping more people than originally expected. Just sort of what is going on with that and the incremental cost savings expected for 2027. I did not see that anywhere. I was wondering if there is any color you can provide on that.
Jatin Dalal: Sure. So you are right. I think the overall scope of lower number has a reduction in personnel costs, and that is because we are beginning to see that the training investments, training keenness, and ability to transform ourselves is beginning to take effect, and therefore we can repurpose and redeploy a lot more than what we originally anticipated. Ravi Kumar spoke about 95,000 employees who have gone through an advanced AI certification in Cognizant. So all of that has helped us-
Ravi Kumar: This is an external certification.
Jatin Dalal: Yeah.
Ravi Kumar: From the Frontier Labs.
Jatin Dalal: Yeah. This has really helped, and therefore we have taken a lower goal on the restructuring cost from $180 million to $50 million, and of which roughly $160 million will be spent in 2026, and the rest on personnel side will come through in 2027. We shared the 2026 savings goal of $200 million that we have achieved. That doesn't mean the program hasn't given its full benefit. It only means when you are able to repurpose and redeploy, you are actually getting the benefit in a revenue line versus in the cost line. To that extent, we are very pleased with the way the program has been executed. Lastly, to your question on 2027, we haven't spoken about it. We will bring that as part of our outlook for 2027, just as we see the benefits coming through from the programs.
Jatin Dalal: There are different priorities in AI ecosystem where we need to invest these dollars. We will think through on that pluses and investments and come back to you in beginning of 2027.
Ravi Kumar: What you would have also noticed is our gross margin has improved significantly. In fact, we will keep the gross margin expansion continuing to Q4. That's our confidence. This is the seventh consecutive quarter where we have done an expansion of our margins since I've come on board. So, we're excited about the fact that it's an expansive margin opportunity as well as we go through this change.
Operator: Thank you. Our next question comes from the line of Jim Schneider with Goldman Sachs. Please proceed with your question.
Jim Schneider: Good morning. Thanks for taking my question. I was wondering if you could maybe comment on, as we head beyond the current quarter, what do you think, I mean, you cited some of the headwinds clearly to discretionary spending. What do you think is required for those headwinds to get released? In other words, if there's clearance on either the geopolitical front or the Mideast conflict front, do you think those kind of temporary headwinds get released heading into the beginning of 2027? Or do you think it might take a little bit longer for clients to sort of re-ramp that discretionary spending?
Ravi Kumar: That's a great question, Jim. Clearly the geopolitical macro needs to change. That'll trigger a discretionary for sure. I mean, clients, I'm absolutely sure about this. We did our annual Americas Discovery event last week. I met 200 plus clients. Clients actually know there is a lot of production value to be realized from the capability of AI. That gap has to be bridged by companies like Cognizant who are on the forefront of this. There's a ton of services attached to it. There are platforms we are building, which is a part of that journey. In fact, I believe that not only are we going to build deployment capacity at scale and bend the cost curve, we are also going to own some of the layers of value, which is trust-related, responsible AI-related, accuracy of the models, context engineering, a whole bunch of them.
Ravi Kumar: I am absolutely sure about that. That is happening in financial services, and therefore you are seeing that double-digit growth. Financial services is not impacted by any macro. There is interest rate pressure. But imagine if that interest rate pressure also starts to taper down, we are going to see more in financial services. Healthcare will follow because there is now some stability of the Medicaid and Medicare enrollments, and as that happens, that will follow. Other consumer goods and other sectors which are normally powered on technology, they will follow as well. The pivot is switching from productivity to growth imperatives using AI, and the re-baselining of productivity has already happened to a large extent. It is reflective in our bookings because our bookings are more new, less renewable, because that is reflective of how customers are spending more on innovation related to AI.
Ravi Kumar: I would say the discretionary unlock is macro stability, and I see that happening in 2027 if everything falls in place. That is 60% of the portfolio, because 40% of the portfolio is financial services, which is in good shape. I am excited about manufacturing industrial clients. We are seeing some exciting work there because we have a small base on manufacturing and industrial, and that has actually grown very well. Our Belcan business has gone back to good growth rates. We have spoken about the four big bets we are making, and these are multi-billion dollar bets. One is workplace services and data center services with the acquisition of Astreya. The second is agentic business operations. We love that opportunity unlock because agentic operations is almost seven times, 7x spend of software engineering. We are seeing great work in frontier finance, pharmacovigilance.
Ravi Kumar: Now we are going to make a foray into mortgage operations. Some of these businesses which were not served well with classical software will get a tailwind on it. Modernization. We spoke about multiple examples. Modernization is going to be an unlock of spend which was done elsewhere to spend to tech services, and powering it with intelligence is a unique opportunity. Cybersecurity. I mean, the frontier intelligence used for vulnerability discovery and patching vulnerabilities. It is a 10x opportunity. Patching vulnerabilities is a Y2K moment because there is so much effort needed to remediate, refactor landscapes, take out tech debt. They could be self-funded as well. I see that as a huge opportunity. SAP HANA migrations, mainframe migrations. A part of it is self-funded, a part of it is productivity-led, a good part of it, and that tailwind will come with discretionary is doing new things in new ways.
Jim Schneider: Thank you. Maybe as a follow-up, as you can predict, I am asking a gross margin question. Relative to the prior question, it is good to see the solid gross margin progression, especially over the last few quarters. I was wondering if you could maybe comment on your ability to sort of sustain gross margin expansion for the full year of 2027 relative to what you have executed on in 2026. Thank you.
Ravi Kumar: Sure. We mentioned this in our Investor Day, and I will ask Jatin to comment after me. We will keep our thesis intact to be in the winner's circle on growth, to expand our margins, continue our expansion of margins, and to have our EPS growth run faster than our revenue growth. Those three will remain intact. We have tailwind from Project Leap. Our volumes are not going down in Q4. Our volumes are healthy. They are actually coming more offshore. And of course, we are hiring aggressively in the US. We are doing a school graduate program in the US. We are hiring 1,500 school graduates. So the expansion of margins is coming from hold up on pricing, new AI services, more the revenue mix being healthy enough for us to get more margins because it is more offshore. And now, we are running also on a high utilization.
Ravi Kumar: We feel very confident about gross and operating margin expansion.
Jatin Dalal: Yeah. Jim, for Q3 to Q4, we will definitely continue to make progress on positive trajectory on gross margin. For full year of 2027, I would say we will come back with our guidance in beginning of the year. But our intention is to continue to make solid progress with everything that Ravi just spoke about. And you will hear more from us in beginning of 2027 on gross margin.
Operator: Thank you. Our next question comes from the line of James Faucette with Morgan Stanley. Please proceed with your question.
James Faucette: Thank you very much. I wanted to ask about the resale revenue. It seemed like that had been an increasing contributor to organic growth. Then you cited that as potentially slowing down a little bit in the December quarter, and that's part of the headwinds that we're facing. Can you just elaborate what that specifically is and why there's some variance, particularly as we go into the end of the year? How do we think about that component, I guess, more strategically, especially as we think about Cognizant being able to deliver full solutions to customers?
Jatin Dalal: Yeah, absolutely. We can start there, which is delivering a full solution and an outcome to a customer. As we continue to move towards that, we have seen that there are four components which in addition to the traditional services, which is your infrastructure, your software, cybersecurity, and hopefully even AI, which we are all sort of working towards to come together along with services to deliver a full-fledged solution to customer and a predictable outcome to customer. Towards that goal, this component of the business mix is continuing to make good progress, and that is reflected in overall revenue growth of the company. I'll speak about Q4 and to a question on the strategic rationale, I request Ravi to add.
Jatin Dalal: From a Q4 standpoint, we see it in a similar range, probably not higher directionally what you have seen so far in the year as a percentage to the group.
Ravi Kumar: Just to add to what Jatin said, one of our strategies as an AI builder is to own the outcomes and deliver outcomes for our clients. That can manifest in multiple ways. Bundling infrastructure, as Jatin said, software, cybersecurity platforms, and we are starting to see inference and pre-training to be a part of that value chain. In fact, we now have a lot of deals where we are bundling Anthropic, Claude, OpenAI Codex, and in fact even cognition-related inference units into the mix. This is going to be an integral part of our strategy. I think our input factor is not going to be any more just human effort. It's going to be human effort and machine effort integrated. It'll come in various forms, and it'll have a downstream services impact. We have to build a craft of integrating human and machine effort as we go forward.
Ravi Kumar: In software engineering, it will come as integration of inference and pre-training costs. In infrastructure, it will come as infrastructure and devices and stuff like that. In cybersecurity, which is now becoming very platformized, it will come in a different way. In operations, it will come as transaction-based platforms. I spoke about bounded workflows. Bounded workflows are high transaction volume systems which clients today no longer want to buy software and services separately. They actually want to bundle, and they want us to own outcomes. In fact, in TriZetto, we no longer do just transaction-based pricing. We actually do managing lives because your input factor could be anything. As long as you are managing the outcome, you should be able to deliver that service. So more and more we are building that craft, and more and more we feel like that is the future of technology services.
James Faucette: That is great. Appreciate that. Then be remiss if I did not ask for any type of update on India listing and kind of what the thoughts there are and where we should expect further progress or the ultimate fate of that intention and process. Thanks.
Jatin Dalal: Yeah, sure. As I shared my opening remarks, we continue to make good progress. We are awaiting the draft regulations to come through, which we expect in few weeks time. We should be able to make the final decisions once we see the draft regulations. Overall, we are quite pleased with the progress that we have seen towards the framing of the policy, and we will make a final call once we see the final draft regulations.
Operator: Thank you. Our final question this morning comes from the line of Jonathan Lee with Guggenheim Securities. Please proceed with your question.
Jonathan Lee: Great. Thanks for taking my questions. Last quarter, the outlook assumed a lighter furlough impact in Q4. What is driving that change in that view? How much visibility do you have into Q4 today? Can you unpack what is assumed across the high end and the low end of the outlook range for factors such as macro furloughs, large deal ramps, and short cycle work?
Jatin Dalal: Definitely. In fact, at the time when we guided in the beginning of Q3, our expectation was for a lower furlough because we were seeing significantly higher demand from BFSI, which contributes to the furlough. However, as we are at the end of the year and we have a greater visibility, that has actually remained more or less similar to previous years. We were expecting a better than every year furlough sort of result, but it is not so, as we see today. From the guidance range standpoint, that is what we have baked in our revised guidance range. I do not think it will change materially from here on, because fairly, we have a good visibility now. On the guidance range, like always, we anchor our guidance at the midpoint.
Jatin Dalal: We think things have to really improve from here on at the upper end, and things have to fall off at the lower end.
Ravi Kumar: I just want to add one other thing. Look, the volumes are not changing so much. The mix is changing a little bit because, as I mentioned in my earlier remarks. The second is, normally in the Q4, we also get a lot of open enrollment related work, Commercial, Medicaid, and Medicare. Commercial is as good as the previous years, but Medicaid and Medicare has had some uncertainty because of regulation. That will taper off from next year. Remember, our best quarters in our industry, at least for us, is Q2 and Q3. That is our best quarters. As healthcare enrollments, especially Medicaid and Medicare, start to stabilize, that will pull back. That will come back as well.
Ravi Kumar: The Q4 is a little bit of a seasonality thing, and we are very hopeful that as we go forward, as discretionary unlock happens, the AI tailwind will allow us to continue on getting the same traction like we have in financial services and other industries as well.
Jonathan Lee: I appreciate that granularity. Just on the topic of seasonality there, can you remind us about normal seasonality going from Q4 to Q1 on an organic services basis? I mean, recognizing it may be early, but given the constructive dynamics you've talked through on this call between new bookings and other drivers, why should Q1 follow that normal pattern rather than improve on it?
Jatin Dalal: Yeah. I think traditionally we have seen a sort of a flattish or a similar performance on absolute basis between Q4 and Q1. Too early to call right now as to what changes compared to previous years in Q1. We will sort of munch on it and come back as we do at the end of January. But right now it looks very similar.
Operator: Thank you. Ladies and gentlemen, that concludes our question and answer session. I'll turn the floor back to management for final comments.
Ravi Kumar: Thank you so much for listening to us today. As Jatin and I spoke, we are excited about the fact that we still remain on the winners' circle in our industry. Top-tier growth. We are confident about being in the winners' circle as we go forward in 2027. Expansive margins, both at gross and operating margin. We are excited about the fact that we are continuing this for seven quarters in a row now, and we are projecting for the full year an expansion on margins. We are excited about the fact that our EPS growth is amongst the best in the industry, between 8% to 10%, which we have forecasted. We continue on this journey to be that AI builder.
Ravi Kumar: We are hoping that as we stay on the winners' circle, we, at some point of time, break away from that and be the top company in this sector. AI tailwind is coming behind us now, so we are pretty confident that as discretionary unlock happens, that tailwind will spread from financial services to other industries as well.
Operator: Thank you. This concludes today's conference call. You may disconnect your lines at this time. Thank you for your participation.
