Workiva Inc. Investor Day 2026

Good morning everyone, and welcome to Workiva's 2026 Analyst and Investor Day. Thanks to you who have joined us all here in person. It's great to see you all, and thank you to everyone who's joining us on the live stream. I'm Katie White, Workiva's Senior Director of Investor Relations. Before we get started, I'll lead off with our Safe Harbor statement. During today's presentation, we will be making forward-looking statements regarding future events and performance. These statements are subject to known and unknown risks and uncertainties and reflect our expectations only as of today, September 15, 2026. We undertake no obligation to update them. We will also reference certain non-GAAP financial measures, which are not prepared in accordance with generally accepted accounting principles. Reconciliations are available in our materials. We have a full agenda for you today.

Julie Iskow, our CEO, will kick things off with our strategy and the opportunity ahead. Deepak Bharadwaj, our Chief Product Officer, will take you deeper into our platform and the innovation driving it. Mike Rost, our Chief Strategy Officer, will walk through the growth opportunity in front of us. Barbara Larson, our CFO, will close with our financial framework and 2030 targets. We will then open it up for a Q&A session. With that, let me turn it over to our CEO, Julie Iskow.

Thank you. Thank you, Katie, and good morning everyone. For those of you who joined us at Amplify this morning, welcome back. For everyone joining us for the first time today, including those of you on the live stream, thank you for being here. We have a lot to share with you. Workiva hits $1 billion in revenue in 2026, and at the same time, our operating margin is expanding. In fact, we're now on track to hit our 2027 non-GAAP operating margin target a full year early. We have a strong business, a clear strategy, and significant opportunity ahead of us. In case you haven't noticed, enterprise software is having a moment. We all know AI is changing what's technically possible. So it's changing what customers expect from software. It's changing what we can build and how fast we can build it.

For Workiva, that creates a significant opportunity, because we don't have to choose between continuing to grow the business that we have today and building what comes next. We can do both. We have the customers, the platform, the domain expertise, the distribution and the trust. Today, we're reaffirming our 2030 revenue target of $1.8 billion-$2 billion. We're raising our 2030 non-GAAP operating margin target to approximately 26%. Barbara will take you through the financial framework and provide more detail on the path to achieving these. But first, I want to show you why we're confident in our ability to deliver on our targets. Let me start with the strategy. It hasn't changed. These four tenets have guided our growth for years, and they continue guided today. We build fit-for-purpose, high-value solutions that solve important problems for our customers.

We deliver these solutions on an open and intelligent platform. We continue to expand globally and extend our reach and our capabilities through a growing partner ecosystem. Together, these four tenets continue to define how we grow Workiva. What's changing is our ability to create more value from them. AI is expanding what's possible for our products, for our platform, for our customers, and for our partners. That's giving us new ways to execute on our strategy and drive growth. Why? Because enterprise software itself is changing. Now there are three important changes happening at the same time. First, software can now do more of the work. For most of the software era, applications were built to help people do their job. With agentic AI, software can now take on more of the work. Second, customer expectations are changing.

Finance, risk, audit, and sustainability leaders are being asked to move faster, to manage more complexity, to govern data and AI, and to do more with their teams. They're going to expect more from their software. Not just better tools, but technology that can actually take work off of their teams' plates. Third, the role of the business user is changing. Users aren't just using software anymore. They're becoming builders. They're building agents and automating processes and connecting systems and creating new ways to get work done. They need more than just applications they can use. They need a platform that they can build upon. Put these three changes together, and enterprise software has a much bigger role to play, and that requires a different kind of enterprise platform. For Workiva, that means transforming our platform.

This transformation enables us to do two things, protect and grow our core, which makes the business we have today stronger and more capable, and use that same platform to build what's next. So what has to change in the platform to make that possible? It starts with understanding the customer's business. Today, Workiva understands the documents and the spreadsheets and the reports and the data and the processes our customers work with. Now we're building the platform to understand the business itself, its entities and its accounts, its people, its risks, its controls and policies, the regulations that apply to it, and how those things relate to each other. That's the business context that AI needs to take on more of the work. We're not just asking customers to recreate their business inside of Workiva.

We're already connecting to so many of the systems where their data already lives, and we connect that data to the customer's business context. So the platform doesn't just have the data, it understands what the data means. There's another critical piece, trust, traceability, defensibility, and auditability. These capabilities have always been essential to the work our customers do, and as software takes on more of that work, they become even more important. Getting an answer isn't enough. You need to know where it came from, you need to know you can trust it, and you need to be able to prove it. So we're bringing together an understanding of the customer's business with the trust that's required for consequential work. There's another benefit to building that understanding at the platform level. The more that a customer does with Workiva, the more valuable the platform can become.

Think about a customer using Workiva for financial reporting. We've connected to their source systems. We understand their entities and their data relationships, their permissions, and the context around their financial reporting. Now when they add GRC or sustainability or another regulatory reporting solution, they don't start from zero. The new solution can build on the business context, the data connections, and the platform capabilities that are already in Workiva. As they do more with us, more of their work becomes connected. Their financial data can connect to their controls. Their controls can connect to their risks, their risks can connect to their policies, and their policies can connect to the regulatory requirements. Now you start to see why one platform matters so much. These solutions aren't operating in isolation, and as more of that work comes together, the platform becomes more valuable to the customer.

We're already using that platform to make our solutions more capable and take on more of that work. A few examples of our agents that are doing just that. Tie-out agent, it automatically validates numerical consistency across financial reporting documents, and it routes exceptions straight to reviewers. Our sustainability disclosure agent, it can gather relevant information, it can draft and check and improve disclosures directly against sustainability frameworks, and prepare the disclosure for review. Our automated testing agent, it runs end-to-end control testing, validating samples, generating test attributes, executing procedures, surfacing annotated results, expanding coverage, and accelerating review. But the bigger opportunity is to go beyond individual agents performing individual tasks. With agentic AI, Workiva's platform can take on more of an entire process. As I reassured the Amplify audience this morning, the customer determines the level of autonomy. They stay in control. In some cases, they may want to stay closely involved.

In others, Workiva can do most of the work and bring them in for exceptions or approvals. It is their choice. This is where we're going. Workiva taking on more of the work with the customer in control. Taking on more of the work opens up much broader opportunities for Workiva. Earlier this morning at the product keynote, we demonstrated one example of how we're beginning to expand our regulatory business. We already do a significant amount of regulatory reporting today. Our customers use Workiva to bring data together to apply controls and to produce filings and disclosures for regulators around the world. But the customer problem is so much broader than producing a regulatory report. Companies have to stay compliant with a vast number of regulatory requirements and obligations.

They have to understand which regulations apply to them and what they require. They need to monitor changes and make sure they continue to meet those requirements, and they need to be able to demonstrate that they did. This is the opportunity we're beginning to go after. We're starting by expanding the regulatory reporting we do today. As we do that, we're also building more regulatory knowledge and capability into the platform, and we can reuse that knowledge and those capabilities across customers. Over time, the platform can understand what's required, it can anticipate what needs to happen, and it can gather and validate the information and execute more of the work, and continuously monitor as requirements change. So we'll be able to do that regulatory work for our customers to help them stay compliant, not just generate a report.

That's our vision: to become the platform that organizations rely on to manage their regulatory work. Why are we so well-positioned to be a leader in this market? Because we have a combination of earned advantages that are incredibly hard to replicate. Trust, governance, traceability, they're already at the core of our platform. We understand regulatory work, and we have extensive experience delivering it. We have distribution. We have more than 6,000 enterprise customers that already trust Workiva with some of their most important data and regulatory work, and we're already part of our customers' technology ecosystems, and we're connected to many of the systems where that data lives. Agentic AI makes all of these earned advantages even more valuable.

It gives us the ability to use what we already have to not just help customers do the work, but to take on more of the work. That's why I believe we're uniquely positioned to lead in this market. As we create more value for our customers, we have opportunities to monetize that value. We're already doing that today. You can see it in our Good, Better, Best monetization framework. Advanced AI capabilities are included in our premium tiers, which customers pay more to access. As a reminder, our business is not seat-based. We already price based on value metrics, so our model isn't dependent on how many people or agents are in our platform doing the work. As AI allows Workiva to take on more of the work, our value-based pricing model becomes an even greater advantage.