Christopher Young
Analyst · Morgan Stanley
Welcome, everyone, and thank you for joining us. Vertex delivered strong first quarter results. Revenue was $196.6 million and adjusted EBITDA was $44.1 million, both above the high end of our guidance for the quarter. Notably, customer retention, usage patterns and buying behavior were all consistent with what we saw exiting last year, even as the macro environment remains mixed and IT spending scrutiny persists. But more importantly, this quarter reinforces the fundamentals of our business. Vertex is at the center of mission-critical, highly regulated workflows that our customers rely upon. We are building upon that foundation as we move forward and as we intentionally reshape Vertex for our next chapter. Over the past several months, I've spent significant time with customers, partners, our team members and investors. One message came through clearly. Vertex has extraordinary assets, including trusted data, deeply embedded integrations and a unique role in global compliance, but we need to operate differently to fully unlock that value in an AI-driven and increasingly real-time regulatory world. And that understanding is what is driving our change. That brings me to the value creation plan that we announced in April. I want to be clear that this was a deliberate leadership decision to reset how Vertex allocates capital, talent and attention. We took decisive action to improve our cost structure, free up resources to invest in growth areas and ultimately improve profitability and cash flow. The outcome was a targeted cost action that included a reduction in force and other efficiency measures to position us for the future. This is a reset to reinvest, which will enable us to continue investing behind the highest impact areas of our strategy, including e-invoicing and compliance, our AI road map, customer support and execution speed, all while also improving operating leverage. John is going to discuss the financial impact shortly. Our e-invoicing business continues to perform well in advance of upcoming mandates with very strong growth in both ARR and revenue that is materially above the overall corporate growth rate. Importantly, we expect revenue to ramp later this year after mandates are enacted in France and again in 2027 when mandates in Germany come online. To accelerate our e-invoicing product strategy, in the first quarter, we acquired Brinta, an AI-first compliance and e-invoicing start-up for e-commerce that's based in Latin America. With Brinta, we gain a very talented technical team that has creatively applied AI and a modern architecture to solve compliance and e-invoicing requirements for companies in countries like Mexico, who have had these requirements the longest. Brinta adds country coverage in Latin America, but it's far more than that. It brings an AI native architecture built for the most complex real-time compliance environments in the world. That capability includes automation, control, speed and auditability, which is where global compliance is ultimately heading. Brinta's offerings are focused on eliminating manual work where it creates the most friction such as onboarding and data mapping, invoice data extraction and product classification. That combination of automation with control is critical in regions like Latin America, where accuracy, auditability and regulatory evidence are nonnegotiable. Now I want to spend some time on artificial intelligence and how we're approaching it at Vertex. I'd like to explain why I think AI expands Vertex's competitive advantage. There's been a lot of discussion about whether AI will disrupt enterprise software. Our view is that AI strengthens platforms that already function as trusted systems of record, especially in regulated environments like tax and compliance. A February 2026 study by EY-Parthenon entitled AI's Impact on the Software Economy confirms this. This study identifies deep vertical SaaS as one of the most defensible segments in enterprise software. These are companies with software built on domain-specific workflows, complex integrations and regulated use cases. Vertex squarely fits that profile with durability driven by embedded tax and compliance workflows, broad ecosystem integrations and long-standing operational data. In an AI-driven world, that foundation ensures AI enhances our platform rather than displaces it, strengthening a system customers already depend upon for mission-critical, highly regulated processes at scale. In enterprise tax, trust is the product. Tax answers must be 100% accurate, explainable, auditable and repeatable across tens of thousands of jurisdictions and constantly changing rules. That requires a deterministic core, authoritative content and a system that can withstand scrutiny, not a probabilistic black box. In addition, Vertex is not adjacent to the workflow. We're embedded in the order-to-cash transaction flow. When tax breaks, companies can't transact that makes switching costs high, not because of licensing, but because the operational risk of disruption is unacceptable at enterprise scale. Finally, we are not standing still. We are moving quickly to embed AI more directly into our products and operations as well as build new ones, but in a way that preserves governed outcomes. To put a finer point on this, today, half the companies named in CIO Magazine's March 2026 ranking of the most powerful AI companies are using Vertex to calculate indirect tax. We believe this is a strong validation of our AI moat. Our AI product strategy will be transformational, yet pragmatic with targeted use cases driving measurable impact and responsible governance from day 1. Our tax engine remains foundational as the deterministic govern system of record that enterprises depend upon to transact, report and comply with confidence. Our focus with AI is to modernize how work gets done in and around the core systems, embedding intelligence into the workflows across tax determination and e-invoicing where most of the manual effort, cost and operational friction still lives. Processes like onboarding, data mapping, classification, configuration, reconciliation, exception handling and ongoing change management are adjacent to the core engine, but they determine how effectively that engine can be used at scale. Our AI strategy is about reshaping that operating layer, reducing manual work, increasing speed and allowing tax teams to operate proactively while keeping the core outcomes correct, explainable and auditable. And to make this more concrete, our first commercial AI product, smart categorization shows how this model works in practice. On our last earnings call, we discussed smart categorization, which automates one of the most manual and error-prone process workflows that sits around the tax engine, categorization of a company's product SKUs for tax. The data we see from live customers' usage of smart cat as they have moved to production is very encouraging. Every active smart categorization customer is expected to send 100% of their catalog through the platform for categorization. Usage grows week after week and the productivity impact is substantial. Observed categorization time drops from more than 1.5 minutes per product to just a few seconds. Slide 11 provides a visual cue to help investors understand an example customer profile for smart categorization. Think about a large retailer with thousands of locations across the U.S. and tens of thousands of SKUs in every store. That retailer is subject to literally millions of iterations of tax rules across their product category. And the retailer SKUs and locations and the tax rules they are subject to are constantly changing. The key takeaway is this, smart categorization confirms that our AI operating model works in practice. It shows AI applied around the system of record, removing friction from critical workflows while preserving deterministic trusted outcomes, with production usage established, the next phase is ramping the commercial motion in a disciplined way. We are also using AI inside Vertex to change the way the company operates. A good example is our customer support and services organization. Support workflows sit alongside our core tax and compliance platforms. It requires deep domain expertise, consistent judgment and the ability to triage and resolve issues effectively, especially as our customer base and product portfolio continue to grow. We're using AI to augment that work by summarizing cases, surfacing relevant diagnostics and knowledge and helping route issues to the right teams more quickly. The goal is straightforward, allow our experts to focus on judgment and resolution, while AI handles the repetitive analysis and intake work. And early results indicate that analysts can manage meaningfully higher case volumes with better consistency without sacrificing quality, which has a direct impact on our operating leverage over time. The reason I highlight this is that it reflects the same operating model you've seen in our products, AI applied around the system of record, embedded in real workflows, improving efficiency while preserving accountability. I continue to be very energized by the high-quality blue-chip customers that depend on Vertex for indirect tax accuracy. First, notable wins with existing customers. On our February 2025 earnings call, we highlighted a win with one of the large leading players in the artificial intelligence large language model space. The initial relationship was for Vertex e-commerce, supporting tax determination for their digital marketplace operations. In the first quarter of this year, this customer expanded its partnership with Vertex to include e-invoicing across multiple jurisdictions as well as O-Series for global sales and value-added tax determination across several business units. This expanded relationship now represents annual recurring revenue in the multiple 7 figures and reinforces the key point. Even for one of the pioneers in the AI space, Vertex is the trusted choice for managing complex indirect tax requirements at scale. In the SAP ecosystem, we won a high 6-figure new contract with one of the major airlines. This deal included expansion of their use tax volume, additional tools such as SAP Accelerator and Plus tools and engagement with Vertex Consulting as well as migration of all on-prem instances of Vertex O-Series to the cloud, and a leading social media company that is also a major player in artificial intelligence, expanded their use of Vertex solutions in the Oracle ecosystem, resulting in mid-6 figures of new annual revenue. Turning to new logos. A company in the health care industry switched from competition to Vertex for North American sales and use tax and also engaged Vertex Consulting to assist with the integration with their Workday ecosystem. This resulted in low 6 figures of new annual revenue beginning in the first quarter. We secured a mid-6 figure new logo in the chemical manufacturing sector, driven by a customer's expansion into additional business segments and the adoption of Vertex for North American consumer use tax, SAP Plus tools, address cleansing as well as Vertex consulting services. And in the fashion and apparel industry, we won a high 6-figure new deal driven by the customers' transaction volume growth. This engagement encompassed sales tax in North America as well as global value-added tax calculation. Before I turn the call to John, I'll wrap by saying that the first quarter was a strong start to the year. I'm encouraged that retention is stabilizing and that we delivered results that were above both investor expectations and our own guidance for the quarter. We are seeing good results from our e-invoicing business and believe that global compliance is one of the biggest opportunities that we have in front of us. With that, I'll turn the call over to John to discuss the financial detail. John?