Savneet Singh
Analyst · Needham
Thanks, Chris, and thank you all for joining us today. In Q3, PAR remains squarely focused on delivering against our long-term growth strategy. We expanded our platform functionality with the release of a customer data platform, launched 6 new PAR Intelligence coaches and agents while tracking to exceed our full year live site target of 50,000 stores and saw cross-vertical traction with our customer identity resolution offering. All the while aggressively investing for the future, we also managed to deliver record revenue, record adjusted EBITDA and record free cash flow. We reported $137.1 million of revenue, up 15% year-over-year. Adjusted EBITDA was $17.1 million, nearly 3x the level we produced a year ago and a $2.8 million increase sequentially. Free cash flow came in at $17.7 million. This marks our third consecutive quarter of increased sequential growth. Growth, profitability and cash conversion expanded because of the continued success of our product suite in market, led by our push of PAR Intelligence and bundled platform deals, climbing unit economics and continued expansion of our operating leverage. This is a model we have been building towards a scaled platform where each incremental customer, product, and workflow makes the system more valuable while the economics improve underneath it. We exited Q3 with ARR of $354.5 million. The $16.5 million sequential increase from Q2 was the strongest ARR add of the year and brought organic year-over-year growth to approximately 13%. Our continued top to bottom line financial improvements are indicative of our ability to grow while also operating more efficiently within our cost of sales and OpEx. Current market dynamics have restaurant and retail operators being squeezed between margin pressure and a consumer who is more sensitive to affordability. In that environment, an integrated platform earns its customers by helping brands run more consistently, innovate faster, and simplify the operating environment. Moreover, prevailing high interest rates ensure that brand growth is no longer over-indexed on new store openings. Optimization within the existing 4 walls and closing the gap between the best and worst performing sites, on average, a 6.4x difference in profitability offers a material uplift in earnings at a fraction of the spend. Importantly, AI has increased the relevance of our platform approach in this historically best-of-breed market. PAR unifies every transaction and every guest to deliver a foundation for Agentic AI and customers identify PAR as their principal partner to build towards an Agentic future. We saw this across the portfolio. Turning first to our restaurant performance. In Q3, new customers, Poulet Rouge and Carvel selected Punchh, our industry-leading loyalty and engagement product. Adding Carvel now brings the complete GoTo Foods portfolio on to PAR. Of the new customer deals signed in Q3, more than 80% were multiproduct. Habit Burger, Kura Sushi, Goodcents, and Jack's Family Restaurants also renewed with product uplifts or expansion offerings. PAR Ordering had another strong quarter signing new customer deals, including our largest ordering agreement to date with a large national restaurant chain that we'll talk about post-launch next year. This will be a highly visible and important competitive takeaway. Capriotti's, a sandwich chain also selected PAR Ordering for their 175-plus stores. These larger and consistent wins continue to prove out the appeal of one connected digital cockpit and the advantage of solving ordering, loyalty payments, and catering together rather than through disconnected products. Critically, customers are seeing ordering as a natural platform extension of their existing PAR products, ensuring a robust and growing pipeline with active brand dialogue. Our POS business is executing well, and our current large enterprise rollouts are proceeding at accelerated time lines. We remain ahead of plan on Burger King's point-of-sale activations and have crossed over 5,000 sites through September and we will kick off Papa John's implementation at scale in Q4 as we roll out PAR POS and PAR OPS to their 3,000-plus U.S.-based stores. On the new innovation front, this quarter, we launched Guest360, a customer data platform integrated into Punchh that expands PAR's guest intelligence beyond loyalty members to the broader restaurant base. By unifying transactions and engagement data across channels, Guest360 enables brands to identify, segment and activate guests directly within Punchh and measure resulting revenue. What's more, we continue to make tremendous strides on the next major version of our POS, which we will release next year, completely agentic and built for this new world where time to delivery and innovation is tantamount. It will continue to drive PAR POS as a leader within restaurants. This innovation will reimagine the next generation of PAR's POS platform while continuing to invest in the customers and products that got us here. It will be a new cross-platform experience on a modern architecture. The goal is simple: create a clear path forward for every customer regardless of where they start and make it easier for them to benefit from everything we are building across PAR. Now turning to PAR Retail. PAR Retail delivered another strong quarter of platform momentum. A Tier 1 major oil company signed a significant 5-year partnership with PAR. The relationship also has meaningful expansion potential as the customer grows its network and adopts additional products, including our self-checkout solution, touchpoint and most importantly, PAR Intelligence. Kwik Fill, part of United Refining, selected PAR Retail and PAR Intelligence across more than 300 locations. These customer wins reinforce a core part of our advantage. We can bring together hardware, software, data and intelligence across convenience, retail and food service. Similar to restaurants, the PAR platform playbook is working. This is a result of a concerted effort in bringing together our hardware and services offering, combining it with engagement software onboarded via the Stuzo acquisition in 2024 and building new functionality on top of the existing stack via PAR Intelligence. Bridg also expanded its strategic relevance to PAR in the quarter. While our engagement products power loyalty and campaigns and PAR Intelligence turns data into decisions and actions, Bridg adds the ability to recognize and understand shoppers beyond the loyalty program by connecting previously anonymous purchases to enrich customer profiles. That expands the audience brands can reach, gives PAR Intelligence a more complete view of customer behavior to turn fragmented signals into better decisions and strengthens the measurement of marketing's impact on sales. The scope of Bridg is potent. 250 million-plus verified identities covering more than 90% of the U.S. population means that product market fit is incredibly high if coupled with the likes of PAR Intelligence. An additional national retailer selected Bridg in the quarter after moving from a competing identity resolution platform. Our recently released Bridg 2.0 launched in October, and we believe the product is increasingly central to how we extend PAR Intelligence beyond a single vertical or workflows. In summary, all of what we do centers around our platform and AI strategy. PAR Intelligence represents the next evolution of the PAR platform, a unified AI layer designed to improve execution and profitability across every customer location. Its differentiation rests on PAR's extensive industry-specific data and ability to embed autonomous agents across its integrated software ecosystem. Already deployed agents support operational insights, personalized offers and software development, creating a foundation for an expanding portfolio of AI-powered capabilities. A restaurant or retailer does not create value by asking more questions. It creates value by making better decisions faster across thousands of locations. PAR Intelligence is designed to connect the signals already moving through PAR, including transactions, loyalty, ordering, inventory and operations and turn those signals into actions an operator can understand, approve and measure. We remain focused on adoption and measurable outcomes in 2026, while building the premium capabilities in market and product attachment that can make AI a more meaningful revenue contributor in 2027. The current use cases include offer performance, member growth, basket analysis, operational efficiency, in-store and drive-through throughput speeds, financial review and operating issue resolution. Although customers are currently paying for different facets of our intelligence, it's premature to force an artificial AI revenue metric just to satisfy the moment. We will show adoption, customer outcomes, and monetizations as they become measurable and repeatable. Before turning the call over to Bryan, let me make some big picture items -- let me make some comments about big picture items for our company. The improvement in our profitability is not coming from a retreat in product investment or a onetime certain savings. Through the first 9 months of 2026, adjusted EBITDA reached $40.4 million compared with $15.9 million in the prior year period. At the same time, our R&D investments increased on a GAAP basis, while G&A declined. We are investing in new product innovation to ensure continued growth acceleration while leveraging AI to drive efficiencies at traditional cost centers. Our platform strategy is building customer relations over time versus maximizing prices in the short run. The current landscape makes PAR more indispensable to its customers than ever. As I recently shared, brands must get more out of their existing 4 walls as they are faced with depleting margins on the revenue front via punishing third-party delivery tax and inflationary labor and inventory environment and rising interest rates. The ability to enhance individual store outcomes with localized guidance made possible by PAR Intelligence spotting what is affecting operational and guest performance in real time at any unique location and driving context-aware actions will ultimately narrow the gap between the best and worst performing stores. Enabling the maximization of an individual outcome at a store and guest level is what AI catalyzes, something we could not do before this AI moment. With that, I will turn the call over to Bryan to review the financial results and outlook in more detail. Bryan?