Julie T. Sweet
Analyst · JPMorgan
Thank you, Alexia, and everyone joining us this morning, and thank you to our more than 814,000 reinventors around the world for your extraordinary work and commitment to our clients. Before Angie takes you through the detailed numbers in our FY '27 outlook, I will start with Q4 and then step back to look at fiscal 2026 overall. Starting with Q4 revenue was $18.7 billion, growing 7% in local currency, above the top end of our guided range. Growth was broad-based across markets, industries and both types of work, and we once again took significant market share. Revenue from work with our top 10 ecosystem partners continue to outpace our overall growth. We had $22.2 billion of bookings in Q4, reflecting the relevance of Accenture to our clients and demonstrating again our strong competitive position. I was pleased with our 37 clients with bookings greater than $100 million. Our focus on being relevant where our clients are spending helped us capture the strong level of bookings even though the overall demand environment, including discretionary spending, did not meaningfully change. We also delivered strong margin expansion, EPS growth and free cash flow while continuing to invest in our business and our people. In Q4, we deployed $1.9 billion in acquisitions. Approximately $3 billion of capital related to the Cyber OT acquisitions, including Dragos, shifted into September due to regulatory timing, and we are pleased those transactions have now closed. In Q4, we continue to use our strong balance sheet and acquisition experience as competitive advantages to accelerate our strategy and ultimately fuel organic growth. As a reminder, we use acquisitions to scale in high-growth areas, deepen our industry and functional capabilities and expand into new growth areas, which increasingly include businesses with non-FTE commercial models. In Q4, we closed Ookla, a global leader in network intelligence, competitive benchmarking and customer experience analytics, which is an expansion into a new growth area with a non-FTE commercial model. Ookla also deepens our industry skills in the core value chain of the comms and tech industries. We also closed Whalar, a leading creator and social agency recognized for its creative excellence and ability to deliver measurable business outcomes. Whalar is part of our focus on expanding our functional skills within our Song business in a high-growth area. To help accelerate our strategy to expand in the mid-market, we closed COMWARE, an end-to-end technology services provider with deep SAP, CRM and manufacturing expertise serving Japan's mid-market. We also announced our agreement to acquire McCoy, a trusted Dutch SAP transformation partner for mid-market companies. Finally, we announced an agreement to acquire Industries eXcellence Group, which deepens our engineering skills as part of our supply chain and engineering business. Turning to demand in Q4. Large-scale reinventions, including many driven by AI, drove strong demand. These spanned transforming functions and building out digital cores. Our clients are also focused on AI and believe AI will help them achieve more than previously possible across the enterprise, but clients remain at very different stages of readiness. Much of our growth today comes from continuing to build their digital core, data foundations and the enterprise AI stack that they need to use AI at scale, and many are just starting their AI journey. Nearly 100 additional clients initiated their first advanced AI work with us this quarter, bringing the fiscal 2026 total to more than 400. Because we are investing in our platforms and new solutions, we are able to embed advanced AI earlier into large-scale reinventions. Our proprietary assets and platforms, ecosystem relationships and our ability to deliver the work through consulting, managed services or a combination of both allows us to meet clients where they are and help them move at pace. Our managed services-led work also includes a significant consulting and AI expertise as many clients use this work to both reinvent and to get greater certainty around outcomes, including cost savings. Against this backdrop, two things stand out. First, our largest client relationships continue to expand as clients take on broader, more strategic transformations. FedEx is a great example of how our largest client relationships grow over time. We began by moving part of its applications to the cloud. As more deliveries shifted to homes, FedEx launched One FedEx to create a more connected, flexible and efficient operation. Delivering on that vision requires coordinating the technology, data and processes that keep the business running, all while FedEx moves millions of packages every day. Today, we're helping build the digital core behind One FedEx while supporting its investment in its people through enterprise-wide AI fluency programs. Together, this work is helping FedEx make supply chain smarter and embed AI more deeply into the way work gets done. Our partnership has continued to deepen as FedEx has expanded our role with additional managed services and modernization work designed to streamline operations, enhance customer service and support future growth. That is how our relationships grow. Each success creates the opportunity for the next. The second standout from the quarter is how our AI demand is broadening because of both the depth and breadth of our expertise in the various functions of an enterprise across industry, process, operating model, data, technology and AI. We continue to see AI being embedded in the broader transformations our clients are undertaking. BP, one of the world's largest energy and convenience businesses, operates across more than 150 markets with over 10 million customer touch points every day. To turn that scale into a growth advantage, Accenture Song is helping BP build a global marketing engine that combines data, AI and marketing expertise, deepening customer intelligence to move from insight to action faster. BP's marketing teams operated with hundreds of regional processes, making it harder to scale campaigns consistently across markets. We replace that complexity with a single scalable model and the gains compound. BP is now producing 2.5x more content with 23% less effort. That benefit is also realized in customer reach. For example, customer engagement activity has grown threefold in the last 12 months alone. By intelligently optimizing across offer, channel and customer moment, BP has been able to put its marketing budget in the right place at the right time, helping support measurable business results. Over the past year, active loyalty customers grew 12% and loyalty transactions rose 7%. This is what it looks like when marketing becomes a true commercial driver. We also continue to see green shoots of enterprise-wide AI transformations where our clients have been investing in strong digital cores. PPC is one of the leading early examples. Over the past several years, we've helped PPC Group, Greece's largest electricity utility, strengthen its digital core and build the foundations to drive continuous reinvention. Today, we're helping PPC put AI at the center of its next phase of growth as it transforms from a traditional utility into a power tech company, using AI to reinvent and expand into new businesses and markets. AI will be infused across the enterprise from power generation and customer experience to renewables and corporate functions, bringing together larger volumes of data to get work done faster. For example, in energy management, AI will help to cut analysis time in half, helping traders make faster pricing and hedging decisions. At the same time, AI will help deliver more seamless digital experiences to millions of customers, increasing customer lifetime value and driving top line growth. PPC Group is not inserting AI into its existing processes, it is reinventing them. As the group expands beyond its traditional utility business, it is rebuilding how work gets done around clear outcomes with people in the lead and agents on task, measuring the value of every change and reskilling its workforce in parallel. We're also seeing clients continue to move deeper into functions, particularly in areas such as customer experience, supply chain and finance as they redesign end-to-end processes and ways of working around AI. In customer experience, we're using conversational AI, including voice and chat agents to handle live interactions, resolve inquiries faster and provide a more personalized experience, helping organizations drive customer satisfaction and retention. In supply chain, we're using advanced AI to improve demand forecasting across complex distribution networks, enabling more accurate forecast and faster, more automated decisions, which can optimize costs and improve margins. And in finance, we're building AI reasoning agents that allow CFOs and finance teams to ask questions in plain English and analyze detailed profit and loss data, helping finance leaders get ahead of trends, make faster, better informed decisions and free their teams to focus on the work that drives business results. And increasingly, we are seeing AI move into the core value chain of industries. For a leading pharmaceutical company, we're using Faculty's Frontier platform to improve a critical part of developing a new medicine, clinical trial planning. The platform simulates different trial scenarios, helping teams decide where to run studies, which sites to use and how to respond when patient enrollment falls behind. In an initial application, the platform reduced the time needed to create and analyze trial scenarios from 10 days to 10 minutes, improved patient enrollment forecast accuracy by 60% and identified study designs that could shorten trial time lines by up to 3 months. In an industry where each day of delay can mean up to $1 million in lost revenue, faster planning can help therapies reach patients sooner and improve the return on R&D investment. It is a strong example of how we combine our technology with deep life sciences industry expertise to turn faster, better decisions into meaningful business value. You can see in these examples, the breadth of demand, which we expect to continue and the breadth and depth of our expertise. Today, we've covered logistics, energy and pharma, and they span from enterprise functions like finance to growth functions like marketing to the core value chain like clinical trials to the digital core. Turning to our full fiscal year. We had another strong year, delivering profitable growth, taking significant market share, returning record cash to shareholders and investing at scale in our business to strengthen our near- and long-term growth. We did so in a very dynamic macro environment, which we expect to continue. For the full year, we delivered revenue of $74 billion, growing approximately 5% in local currency and adding approximately $4.5 billion of revenue over FY '25. We delivered these results while absorbing an approximately 1 percentage point impact from our federal business, which sunset at the end of Q3. We had bookings of more than $84 billion, up 5% in U.S. dollars and 3% in local currency. This included 141 quarterly client bookings greater than $100 million, 12 more than last year. These bookings are a proxy for the effectiveness of our reinvention strategy and position us well for future transformations as AI scales. We also ended the year with 317 Diamond clients, our largest relationships. We also delivered strong adjusted earnings per share growth and free cash flow, and we returned a record amount of cash to shareholders, 38% more than in fiscal 2025. At the same time, we invested at scale in our business with $4.9 billion in strategic acquisitions, $1 billion in R&D and $1 billion in learning and development as we continue to upskill and reskill our people for the AI era. In fiscal 2026, our people completed 46 million hours of training, and we now have nearly 110,000 AI and data professionals, exceeding our 3-year goal to double our AI and data workforce from 40,000 to 80,000 by the end of fiscal 2026. As we look forward, we are confident in our future. We continue to believe the opportunities related to AI are greater than the impact of AI-related efficiencies in our business, and we expect that to continue as AI enables enterprises to do much more. At the same time, AI is making both our own delivery and the technologies we implement more efficient. Consistent with prior technology waves, we see this in two areas: the additional productivity we achieve in delivering our services, which creates greater value for our clients and faster, more efficient implementations as our ecosystem partners embed more AI capabilities into their platforms. Our strategy is to lean into these efficiencies precisely because they create value for our clients while continuing to invest and rotate our capabilities to capture the larger growth opportunities AI creates. That is why we continue to view AI as a tailwind for Accenture. As we look at the AI opportunity, our strong ecosystem position is one of the reasons we are so confident. Our top 10 ecosystem partners represented more than 60% of our revenue in fiscal 2026 and revenue from that work grew 6%, outpacing Accenture overall. For our 8 emerging AI and data partners, bookings more than tripled and revenue more than doubled compared with fiscal 2025. The tech ecosystem is incredibly dynamic with nearly daily change related to AI. This means our clients have more choices, but they also have more decisions to make, and they turn to us to help them make these decisions, to help them bring these technologies together and turn them into business outcomes. To give you a flavor of this dynamic environment, data and AI are now core to all of our partners, both our largest partners and our emerging data and AI partners. Our top ecosystem partners, the hyperscalers and the SaaS players are all introducing new AI features and functionality at speed. The model landscape also continues to evolve with frontier specialized smaller and open weight models. We are the #1 partner of the top 3 frontier companies, and now we offer full life cycle services for open weight models. Over the last 12 months, the AI ecosystem has become much more interconnected. Clients can now access frontier models directly through hyperscalers and increasingly through the SaaS applications they already use. At the same time, SaaS providers are rapidly embedding AI and agentic capabilities into their applications and workflows. Additionally, private and sovereign AI are increasingly important to our clients, and we are at the heart of creating these solutions. This is why our strong network of ecosystem partnerships is so important to our growth. Reflecting how the landscape has evolved over the past year, we will now report our top 10 ecosystem partners and emerging AI and data partners together as one group. We have also added Dell, an important partner in private AI. Beginning in FY '27, we will provide this update annually. Over to you, Angie.