The Descartes Systems Group Inc. ($DSG)

Good afternoon, ladies and gentlemen, and welcome to The Descartes Systems Group Quarterly Results Conference Call. [Operator Instructions] This call is being recorded on Wednesday, March 11, 2026. I would now like to turn the conference over to Mr. Scott Pagan. Please go ahead, sir.

Thanks, and good afternoon, everyone. Joining me in person on the call today are Ed Ryan, CEO; Allan Brett, CFO; and Ed Gardner, EVP, Corporate Development. And I trust that everyone has received a copy of our financial results press release that was issued earlier today. Portions of today's call, other than historical performance, include statements of forward-looking information within the meaning of applicable securities laws. These statements are made under the safe harbor provisions of those laws. These forward-looking statements include statements related to our assessment of the current and future impact of geopolitical, trade, tariff and economic uncertainty on our business and financial condition, Descartes' operating performance, financial results and condition, cash flow and use of cash, business outlook, baseline revenues, baseline operating expenses and baseline calibration, anticipated and potential revenue losses and gains, anticipated recognition of revenues and incurrence of expenses, potential acquisitions and acquisition strategy, cost reduction and integration initiatives, timing of management changes, the approval and potential share purchase under a normal course issuer bid and other matters that may constitute forward-looking statements. These forward-looking statements involve known and unknown risks, uncertainties, assumptions and other factors that may cause the actual results, performance or achievements of Descartes to differ materially from the anticipated results, performance or achievements implied by such forward-looking statements. These factors are outlined in the press release and in the section entitled certain factors that may affect future results in documents filed and furnished with the Securities and Exchange Commission, the Ontario Securities Commission and other securities commissions across Canada, including our management's discussion and analysis and annual information form filed today. We provide forward-looking statements solely for the purpose of providing information about management's current expectations and plans relating to the future. You're cautioned that such information may not be appropriate for other purposes. We don't undertake or accept any obligation or undertaking to release publicly any updates or revisions to any forward-looking statements to reflect any change in our expectations or any change in events, conditions, assumptions or circumstances on which any such statement is based, except as required by law. And with that, let me turn the call over to Ed.

Thanks, Scott, and welcome, everyone, to the call. Today, we're reporting quarter -- record quarterly and annual financial results across the board. We're ahead of our annual plans and finished the year extremely strong. These are great results that I'm looking forward to walking through in more detail. However, first, let me give you a road map for this call. First, I'll start by hitting some highlights of last quarter, provide some comments on how artificial intelligence impacts our sector and business. I'll then hand it over to Allan and Ed Gardner, who will go over the Q4 annual financial results in more detail. After that, I'll come back and provide an update on how we see the current business environment and how our business was calibrated for Q1, and then we'll open it up to the operator to coordinate the Q&A portion of the call. So let's start with the fourth quarter and year that ended January 31. Key metrics we monitor include revenues, profits, cash flow from operations, operating margins and returns on our investment. For this past quarter, we again had record performance in each of those areas. Total revenues were at a record high of $192.8 million, up 15% from a year ago. Record high services revenues were also up 15% from a year ago, with our continued focus on generating recurring revenues. Record net income was up 22% from a year ago. Record income from operations was up 25% from a year ago. Record adjusted EBITDA was up 18% from a year ago. Our adjusted EBITDA margin is at a record high level of 46%. We generated a record high of $76 million in cash from our operations, up 25% from a year ago. So strong record results across all these key metrics. For the year, the results are equally impressive. Record revenues up 12% with service revenues up 15%. Record net income up 14%, record income from operations up 16%, record adjusted EBITDA up 16%, record cash from operations up 21%. As I said, all results for the year were ahead of our plans. At the end of the year, we had $356 million in cash, and we were debt-free with an undrawn $350 million line of credit. We remain well capitalized, cash generating, growing and ready to continue to invest in our business. We also have a normal course issuer bid that allows us to purchase up to 8.6 million shares before December of 2026. We made some small initial purchases before we went into a trading blackout in January. So a tool that we have that we've already used and that may be used again as we monitor rather volatile recent market conditions. I'm not going to spend much time talking about the operating results for the quarter or year. As I said, they were very strong. The reasons why are similar to what we've done in the past in the previous 2 quarters, first, we saw strength in the global trade data and intelligence from a chaotic tariff and sanctions environment. Second, we saw strength in real-time visibility and shipment tracking as we continue to leverage AI tools and agents to have the industry's leading shipment tracking rates. And third, we saw strong e-commerce imports in the United States, which was good for us as we have the market's leading solutions for helping with high-volume rapid customer clearances. We also completed a tuck-in acquisition in our e-commerce pillar earlier today. U.K.-based OrderMine is a current partner of Descartes with its solutions already working alongside our Peoplevox e-commerce, WMS for U.K. customers. We're particularly excited to introduce OrderMine's core product ForecastMine to our e-commerce customers around the world. ForecastMine is a strategic step forward in our e-commerce AI investments, accelerating our AI-powered forecast and demand planning, particularly for e-commerce sellers using Shopify. E-commerce sellers are focused on freeing up cash, protecting margin and scaling without operational drag. We've got a huge pool of rich inventory, order, supplier, fulfillment and returns data that ForecastMine can train on to help sellers do this. Specifically, it helps convert e-commerce signals into clear, actionable insights that reduce excess inventory, prevent stockouts, improve forecast accuracy across channels and seasonality, automate purchasing and shortened planning cycles from days to minutes. I'd like to welcome the OrderMine team to Descartes. I'm happy to answer questions on any aspect of our operations or the acquisition later in the call or afterwards. However, I wanted to spend some time today with some comments about what I'm getting asked the most questions about the impact of artificial intelligence on our industry and on our business. I've heard market commentators raise concerns about the impact of artificial intelligence technologies on the long-term prospects and terminal values of technology businesses. Specifically that if AI can generate software code, then coding becomes commoditized and established technology companies are vulnerable to new entrant competitors or companies taking software coding in-house. In short, the headlines are AI could kill existing technology companies. I don't buy any of that. Those commentators are fundamentally misunderstanding the value technology companies bring to customers. I believe AI technologies will make businesses like Descartes even more valuable to customers. At the heart, technology businesses do not exist to just make software code. This is not the value they deliver to customers. Instead, they deliver a comprehensive service to customers, a service that includes security, trust, stability, compliance, infrastructure, operational and customer support, workflow and domain expertise, proprietary data, connections, scale, innovation, cross-pollination of valuable ideas and yes, technology functionality that is powered by software. Generative AI doesn't replace all those things. Generative AI is a tool that allows tech companies to make many of those things better and deliver them faster. Tech companies will leverage AI to make their businesses more secure with AI tools that help identify, diagnose and prevent attacks, they'll make their service availability more reliable with AI tools across their infrastructure, and they'll enhance operational support for customers with AI-powered agents to address routine increase. Generative AI companies know the market is making a mistake by questioning the long-term prospects of technology companies. They're admitting that publicly, and they're running their own businesses by relying on specialist technology businesses rather than using their own AI tools to build an inferior quality enterprise system. The market peers don't match reality. I've also seen market commentators paint many technology businesses with the same brush that the impact of AI will be the same for everyone. That's also not true. The impact of AI will vary significantly by industry, business model, scale, pricing model and investment commitment. So let me talk to Descartes specifically. What we are, what protects us, the moat around our business, and the opportunities that AI brings to our business. First, what we are? Descartes is a network services business. We run the global logistics network. It's the world's largest connected community of supply chain and logistics participants, formed over more than 30 years. It's relied on by the community every day to process billions of transactions per year. We use technology to help our customers solve complicated inter-enterprise supply chain and logistics problems on the GLN that require the cooperation of multiple parties and communities on the network. We're not an enterprise software company. Now let me describe the huge moat we have protecting our business. I'm going to try and help you wrap your arms around how broad it is by putting into some key categories. First, we're a critical network relying on by the world. As I said, the Global Logistics Network is relied on by the community every day to process billions of transactions per year. It's unparalleled uptime breadth, speed and specialization make it critical to the operations of our more than 30,000 customers. It's difficult and time consuming for another company to replicate that. It's challenging for our customers to find something as reliable, relevant and comprehensive to switch to. It's the major moat for our business. Two, we help solve complicated inter-enterprise challenges. Supply chain and logistics challenges are not enterprise issues that can't be solved with just a customer's internal people and data. Supply chain and logistics challenges require interaction with external parties beyond the enterprise whether they be drivers, warehouses, customs authorities, governments, shippers, carriers, logistics intermediaries or banks. If you use AI to create tools or applications to help you, you still need to connect to the supply chain and the logistics world. That means you either connect once to the GLN or you connect and maintain hundreds or thousands of connections to external parties by yourself. The enterprise nature of our business keeps us relevant and makes us a better choice for our customers than trying to do it themselves. Third, we process transactions. Descartes is primarily a transaction processor as things are processed by the GLN, such as tenders, bookings, loads, invoices, bills of lading, customs filings, security filings, et cetera, we charge for our services. Our value is generally tied to the service we provide rather than the number of employees our customers may have now or in the future. Our model is not reliant on seat-based or user licenses. Four, we help with compliance. Many of our customers use our GLN to help them comply with various laws and regulations. This could include customs filings, security filings, tariff classification, foreign trade zone, warehouse operation, sanction party screening or public freight rate management. Customers are often wary of taking compliance burdens on solely themselves, especially given the pace of change of regulations and the financial and other consequences of getting it wrong. If we earn our customers' trust to reliably help them comply, then there's not much financial or other benefits to them changing something that's already secure, timely and accurate. This helps protect our business from new entrants and customers considering taking on compliance burden themselves. It also helps us grow because when we're a trusted and reliable partner for one compliance initiative, our customers are much more likely to trust us with other initiatives in the future. Five, we were a system of record. For many of our customers, our systems are the official trusted source of truth for their critical supply chain and logistics data. Using the Global Logistics Network, we help them ensure data integrity, accuracy and security of key supply chain and logistics information that they rely on for daily operations. This makes these customers very reluctant to switch to another provider or to do it themselves. Six, we are supply chain and logistics experts. We're in a very specific market. Our team lives, eat and breathe supply chain and logistics every day. When changes happen, and they happen quite often these days, you want to know that you're doing business with an expert that's on top of things. Our customers consider this expertise a part of our service offering, and it makes them dedicated Descartes customers. And finally, we're trusted, financially stable and transparent. We have a very good reputation. We've worked for many years to cultivate trust with our customers through reliable service, fair pricing, secure operations and continued expansion and innovation. We've built a financially stable business that our customers can be confident will be here for the long term. They have access to our public quarterly financial reports to monitor the strength of the business. All these things protect us from customers considering switching to companies with less operational history, reliability or financial stability. Our customers value our success. Now to the huge opportunities for Descartes with AI. We're actively investing and delivering results to our customers. Let me hit the 3 biggest areas of opportunity for Descartes. Our biggest opportunity with AI comes from the data on the Global Logistics Network. Descartes has the largest trove of real-time supply chain and logistics data in the world. We process billions of transactions a year. We have massive amounts of clean historical and real-time information on the sourcing, storage, classification, transportation, tracking, pricing, service history and financial settlement of most transactions in the global logistics and supply chain markets. AI technologies need data to function. AI technologies are trained and learned from consuming massive amounts of data. AI technologies are only as effective as the data they consume and only as relevant as the time lines -- of the timeliness of the data they get. Most AI technologies are all trained on the same publicly available information on the Internet. The real value is being able to train AI technologies using nonpublic information, which is exactly what information we have on our Global Logistics Network. Our Global Logistics Network data is rocket fuel for AI. We'll continue to grow and cultivate data on our GLN in a responsible way that allows our customers to benefit from the collective intelligence of the network. For us, our key focus going forward is respecting, anonymizing and protecting the data we have while preparing for how our customers may want to use it with newer AI technologies. Second area is that we believe AI agents will change the future of who uses our technology. We think it will change both what we sell to some customers and how we support them. We think an AI agent -- think of an AI agent as a digital coworker trained to do a specific task. AI agents are excellent for reducing human workload by automating repetitive tasks. They are also helpful to handle matters that aren't affordable to have humans do. Historically, our services have been designed to only be used by human workers often clicking on icons and entering data. However, that isn't the future. We're preparing our services to be used by either human or digital workers. Our customers expect value from digital workers. They don't want inefficiencies in their business from humans doing low value or repetitive tasks that could otherwise be automated. Rather, they want AI agents performing tasks and supporting humans who are making decisions. We believe this is real and current customer demand for us to meet. I believe our business will shift in 3 ways. We'll provide customers the ability to get AI agents and digital workers through Descartes. We're already doing this in areas of our business like MacroPoint. In MacroPoint, you can hire a digital worker to call drivers and get a location check on where the shipment is, another digital worker to gather missing shipment documents for you, and yet another worker to address data integrity issues. Each of these AI agents grow our network, improve the quality of the data the GLN has, and reduce costs for our customers. We'll arm human workers with the information they need to make decisions rather than to perform tasks. User interfaces are going to change, screens with complicated series of clicks and reports will change to specific information needed by human eyes to help make a decision. Finally, services will be designed to be consumable by AI agents, whether they are Descartes agents for our customers' own AI agents, our services need to be consumable in a machine-to-machine format. This may include providing AI agents access to different types of data in novel ways or enabling AI agents to interact with our own digital workers or technology. We believe AI agents will be part of the future for Descartes and our customers. We're already delivering value to our customers with AI agents and investing in delivering suites of digital workers that can help our customers. In addition to the AI agents I described with MacroPoint, these include: natural language searches and AI agents for Descartes GLN data mine U.S. import business; AI agents to help deal with challenging match scenarios for denied party screening on parties with ambiguous names and addresses; AI agents helping determine free trade eligibility based on past practices, helping our customers reduce their tariff bill; AI agents making automated tariff classification suggestions for goods; and using AI agents to interpret lengthy carrier rate agreements and present optimal selection recommendations, and there's many more. And finally, the third opportunity for Descartes is to make our business more efficient. We run a multinational, multicurrency, multi-pillar business. We operate an enormous distributed technology infrastructure that can be a target for attack from bad actors. We operate and monitor hundreds of products and services at elite availability levels. We provide support to and build more than 30,000 customers. We grow our business 10% to 15% a year, and have historically added 3 to 4 new businesses to the Global Logistics Network by acquisition every year. With that footprint, there are opportunities to improve our business with automation. We've invested into AI technologies to do this. Key examples are AI tools helping our software engineers with initial coding, customer support automation to enable customer self-help for routine inquiries, advanced AI technologies to harden our network security posture and new tools to monitor network performance. We're investing in AI technologies to help our team. We will get more efficient. However, our customers expect that we can reinvest savings generated by AI technologies into further improving the GLN and/or reducing our need to hire at the levels we have historically. That seems like a sound approach to me. Overall, AI is a tremendous opportunity for us. We believe it will spur further demand for our trusted real-time clean formatted GLN data and the collective intelligence of the network. It's already allowing us to deliver additional value to our customers with AI agents, and it's helping make our business more efficient. We believe that the interenterprise scale network infrastructure of our business puts us in a much better position to benefit from AI than legacy or emerging point or enterprise technology solutions. And finally, to wrap up, Q4 and FY '26 were very strong financial results for us. I'm excited about how the business is performing and the opportunity we have in front of us. I'm now going to hand the call over to Allan in the CFO role for the last time on one of these calls as we conclude the year. The good news is that Allan is going to remain a part of our business, and it's a privilege to be able to keep working with him. Ed Gardner will be the new CFO following this call, and he also gets the benefit of Allan's experience and wisdom as we make this transition. Ed Gardner is also on this call and available for investor and analyst questions afterwards along with both Allan and me. So with that, I'll turn the call over to Allan to go through the financial results in more detail. Allan?

Thanks, Ed. As indicated, I'm going to walk you through our financial highlights for our fourth quarter and year ended January 31, 2026. We are pleased to report record quarterly revenues of $192.8 million this quarter, an increase of just over 15% from revenues of $167.5 million in Q4 of last year. Our revenue mix in the quarter continued to be very strong, with services revenue increasing again over 15% to $180.1 million from $156.5 million last year in the fourth quarter, with services revenue representing 93% of total revenue this quarter, consistent with Q4 last year. Removing the impact of both recent acquisitions as well as the positive impact from changes in foreign exchange rates, we would estimate that our growth in services revenue from new and existing customers, that is our organic growth, would have been approximately 8% this quarter when compared to the same quarter last year, and this is up from approximately 7% organic growth in services in Q3. Overall, our organic services revenue growth in the fourth quarter was the strongest we saw all year. Professional services and other revenue, including hardware revenue, came in at $12.6 million or 7% of revenue, up 18% from $10.7 million in Q4 last year. Due to increases in both professional service assignments as well as slightly stronger hardware revenue this quarter when compared to the same quarter last year. For the year in 2026, we recorded record revenue of $729 million, up 12% from revenue of $651 million in the previous year. For the year, services revenue came in at $677.2 million or 93% of revenue, up from $590.2 million last year as revenue from new and existing customers as well as from acquisitions, both contributed nicely to our growth -- our revenue growth this year. Gross margin came in at 78% of revenue for the fourth quarter and 77% for the year in our fiscal 2026. A solid increase from gross margins of 76% realized in both the fourth quarter and the entire year last year. The increase in gross margin for both the quarter and the year was primarily due to operating leverage from our organic growth and services revenue as well as a decrease in low margin hardware revenue compared to last year. For the fourth quarter and the entire year, our operating expenses increased primarily related to the impact of the 3 acquisitions completed during the year, including the 3G TMS acquisition we completed early in FY '26. The increases in operating costs from acquisitions were partially offset by savings realized from the restructuring efforts we undertook early in fiscal 2026, wherein we reduced our labor force by approximately 7% as we reacted to the uncertainty from tariffs and the changing freight market at that time. Overall, our operating expenses increased by approximately 11% compared to the prior year. As a result of solid revenue growth, improved gross margin as well as controlled growth in operating expenses, adjusted EBITDA came in at a record $88.7 million in the fourth quarter or 46.0% of revenue, up 18.3% from adjusted EBITDA of $75.0 million or 44.8% in the fourth quarter last year. Looking back to the annual results. Again, we continue to see strong adjusted EBITDA growth to a record $329.5 million or 45.2% of revenue, up 15.7% from $284.7 million or 43.7% of revenue last year. From a GAAP earnings perspective, net income for the fourth quarter came in at $45.6 million, up 22% from net income in the fourth quarter last year. For the year, net income was $163.8 million or $1.87 per diluted common share, up 14% from $143.3 million or $1.64 per diluted common share last year. With these operating results and strong collections from customers, cash flow generated from operations came in at a record $75.9 million or 86% of adjusted EBITDA in the fourth quarter, an increase of 25% from operating cash flow in the fourth quarter of last year. For the year, cash flow from operations was $266.2 million or 81% of adjusted EBITDA, up 21% from $219.3 million or 77% of adjusted EBITDA last year. Overall, as Ed mentioned, we are extremely pleased with our operating results in the fourth quarter and in fiscal 2026 overall. As after a period of some concern last spring when the uncertainty around tariffs was at its peak, our operating leverage from continued strong revenue growth in the second half of the year has allowed us to achieve a 15.7% growth in adjusted EBITDA, while we also improved our adjusted EBITDA ratio to 45.2% of revenue for the year and also achieved 21% growth in our cash flow from operations for the year. If we turn our attention to the balance sheet, our cash balances totaled $356.5 million at the end of January. As mentioned earlier, for the year, we generated operating cash flow of just over $266 million, while we deployed approximately $152 million in capital towards 3 new acquisitions. After ending the year with just over $356 million of cash and an undrawn line of credit of $350 million, we are clearly well capitalized and positioned to consider all acquisitions, opportunities in our market, consistent with our business plan. So with that, I will turn it over to Ed Gardner, our incoming CFO, to provide an update on a few items as we turn our attention to our current fiscal year, our FY '27.

Thanks, Allan. So as we look to the current year, FY '27, we should note the following items. We expect to continue to see strong operating cash flow conversion north of 80% of our adjusted EBITDA and subject, of course, to unusual events and quarterly fluctuations, including potential adjustments related to future earnout payments that exceed our estimates made at the time of an acquisition. After incurring approximately $5.7 million in capital additions this past year, we expect to incur approximately $6 million to $8 million in capital expenditures this coming year, mainly related to IT equipment purchases. After incurring an amortization expense of $81.2 million this year, we expect the amortization expense will come in at $69.1 million for FY '27, with this being subject to adjustments for foreign exchange changes and any future acquisitions. After paying contingent consideration or earn-out payments for approximately $1.7 million on past acquisitions last year, we currently anticipate that we can make additional earn-out payments of up to approximately $9 million in FY '27. Our income tax rate in the fourth quarter came in at approximately 25.6% of pretax income, resulting in a tax rate for the year of 24.6%. This is lower than our blended statutory tax rate of approximately 26.5% mainly as a result of the benefit of certain onetime tax items realized in FY '26. Looking forward to FY '27, we're expecting the tax rate will be in the range of 24% to 28% of our pretax income, which means it will be something on either side of our blended statutory tax rate. And finally, we currently expect stock compensation to be approximately $17.2 million for FY '27, subject to any future equity grants as well as any future forfeitures of stock options or share units. I'll now turn it back over to Ed Ryan to wrap up with some closing comments and our baseline calibration for Q1.

Thanks, Ed. I wanted to comment on 2 areas that are impacting global trade right now and impacting our thoughts as we plan for the quarter and the year ahead. Tariffs and ongoing -- and the ongoing Middle East military conflict. On the tariff front, there have been plenty of headlines about the U.S. Supreme Court's decision invalidating IEEPA tariffs. That was followed by the President implementing a 10% global import tariff that may go to 15%. That can be in place for 150 days unless extended by Congress. Separately, several court decisions are considering the process for a refund of the more than $150 billion of invalidated IEEPA tariffs. Here are some tariff-related things we've noted in monitoring the GLN and speaking with our customers. In the several days where there were no valid U.S. import tariffs in place, we saw an influx of imports in the United States and companies taking action in free trade zones to move goods from international to domestic status. The current new tariff regime is temporary and its legality has already been challenged. This leaves our customers in a further period of uncertainty with difficulty making decisions about pricing, cash flow and import levels. The U.S. issued its 2026 trade policy that reinforced its commitment to using tariffs despite the Supreme Court IEEPA ruling. This includes further investigations in specific sectors with a view to implementing further tariffs beyond the current structure. The tariff landscape is volatile and compliance is becoming more complex. Rapid shifts in tariffs are likely to continue to come. The process for recovery of IEEPA tariffs is still unclear. However, our experienced tariff and duty recovery team, that has been in place for many years, is working with customers already. Recovery processes may require volumes of revised electronic filings to be made to the U.S. custom systems, and we're working with customers to be ready for that potential influx. It's unclear how intermediaries like customs brokers will compensate shippers for tariffs if the intermediary receives a refund. This becomes even more of a challenge for high-volume intermediaries serving thousands of independent shippers. For our customers, this all means the tariffs are no longer a stack compliance test. You don't think about them once a year and then go run your business. Instead, trade exposure, tariff modeling and regulatory change are dynamic risk management challenges. It's critical to have a global trade management system supporting real-time global tariff data, trade intelligence and trusted partners like Descartes to share intelligence and manage the complexity. Overall, right now, the invalidation of the IEEPA tariffs is a source of further instability and uncertainty for our customers. However, it's confirming the value that our tariff management, duty recovery and custom filing solutions bring to our customers in meeting these challenges. The second ongoing matter impacting global trade are the ongoing military events in the Middle East. From a supply chain and logistics perspective, the impact includes the Strait of Hormuz is effectively closed, trapping many vessels in port and blocking further traffic. Suez Canal remains a risky sea route and ocean carriers have rerouted to sailings that travel around the tip of South Africa. This has caused ocean rates to increase substantially. Some air spaces have been closed or are deemed too hazardous for safe flight impacting the movement of air cargo and existing capacity. There's been an increase in fuel prices, which impacts both international and domestic shipping activity. We anticipate changes to the existing sanction framework impacting Iran, which will require further shipping scrutiny. Things are more volatile and complex for our customers than ever. We see them adjusting the supply chains to establish new relationships to keep goods flowing, adjusting pricing to reflect unplanned shipping costs and updating delivery expectations with customers to reflect longer voyage times. We also expect an increase for our optimization solutions that helped decrease vehicles used and miles driven, something we usually see as fuel prices spike. The first 2 months of 2026 have been chaotic, volatile and uncertain for our customers, shipping has proven to be resilient over time, but we're monitoring our network for trends with the latest developments. For now we approach the year as our customers are cautiously with the expectation that rapid adjustments to more unforeseen circumstances will be necessary. We keep this in mind as we consider how we're calibrated as we start the year. In our annual report, we've provided a comprehensive description of baseline revenues, baseline calibration and their limitations. As of February 1, 2026, using foreign exchange rates of $0.73 to the Canadian dollar, $1.19 to the euro, and $1.37 to the pound, we estimate that our baseline revenues for the first quarter of fiscal 2027 were approximately $164 million. And our baseline operating expenses were approximately $99.5 million. We consider this to be our baseline adjusted EBITDA calibration of approximately $64.5 million for the first quarter of fiscal 2027 or approximately 39% of our baseline revenues as at February 1, 2026. We're currently operating above our expected adjusted EBITDA operating margin range of 40% to 45%. Our margin can vary in any period given such things as revenue mix, foreign exchange movements and the impact of acquisitions as we integrate them into our business. For now, we're keeping our target ranges of 40% to 45%. However, we'll monitor how we're performing over coming quarters to consider whether any upward adjustment is appropriate. These remain on certain times for our customers. It's a challenge for them to know what they can rely on in this global trade environment. Our goal is to continue to show our customers and other stakeholders that one thing they can rely on is Descartes. So thanks to everyone for joining us on the call today. As always, we're available to talk to you about our business in whatever manner is most convenient for you. And with that, operator, I'll now turn it over to you to handle the Q&A portion of the call.

[Operator Instructions] Our first question comes from the line of Dylan Becker from William Blair.

A nice job here. Maybe, Ed, appreciate a lot of the color on kind of the AI conversation and the AI narrative. I think you did a good job talking about the value of the multisided network and your capabilities there. But if were to kind of double-click and maybe dig deeper into the use cases you're seeing and how your customers are kind of asking you and actively deploying AI. I wonder if you could give us a couple of examples on maybe one where the value of the network is enabling you to kind of see context and quantify value that might be a little bit more difficult if it were something more like a point solution that was trying to solve this problem, but then also how you're maybe thinking about the quantification or monetization of that value and what that can look like from a revenue perspective for the business going forward?

Well, there's a ton of -- I'll just give you a broad example. We process shipments all day long. And invariably, we get information over the course of the day that says that something happened to that shipment. So IoT data comes in, other news comes into us, maybe a status messages that tells us something is wrong. And sometimes it doesn't tell us that something is wrong, it just tells that it's been in the same place for too long. We can use AI to identify that problem. We can use AI to figure out what to do about that problem. And the important part for us is that we know what the customer was trying to do in the first place. And this may be happening in the middle of the night for the customer, like they might not try to figure this out manually until they get in the next day and they probably have lots of problems that might be caused by the same port problem or whatever might be out there. During the night, we can have AI agents go in and fix those problems, right? And say, "Hey, this shipment is going to be late, and it's going to be late by several days if we don't do anything about it." And we may be able to go into that shipment, find out if something is wrong, know what was supposed to happen and rebook them on a series of new ships or plans or trucks that puts them in a situation where it's only late by an hour or 2 or a couple of hours. For what might cost them $1 or $2 on our network, we might save them hundreds of dollars and days worth of time trying to figure this out. And here's that example I just gave you could encompass lots of different AI solutions, but all of them aimed at trying to find out where problems exist. And help the problem a customer solve it before they even know the problem. We're just coming back to them the next day and they say what happens to the shipment and "oh, it's 5 hours, it's going to be 5 hours late, and then they look a little further and they go, well, was going to be 5 days late." And in the middle of night, Descartes fix this automatically for $2, whatever. And we see all kinds of opportunity for that all over our network.

Perfect. No, that's very helpful. And then maybe I also appreciate the color on kind of the evolution and kind of dynamics relative to tariffs in the Middle East. And if we were going to step back traditionally, global trade complexity tends to serve as a net positive to your point, for the business. But is there any way that you would kind of contextualize the puts and takes of any kind of prolonged scenario here? And what that looks like if some of those shipping channels continue to be blocked for extended period of time, the implications on volumes, the importance on more subscription. Just any way to kind of think about the puts and takes between the 2 segments of the business there.

I mean, most of the time, the cargo still has to go. And it's just a matter of how it's going to get there. And you saw several examples over the past 10 years where when it takes longer, we get more bookings because people book both ways around the world. We -- our customers' prices go up for their customers, and it creates a lot of supply chain disruptions. That has traditionally benefited Descartes because we help them sort through those complexities. We help them go see what all the options are. We help them make new bookings so that they may get cargo in from 2 different places in the future, then maybe have several factories around the world and they decide to do something else to get the cargo in and they have to figure out what the tariffs and duties are when they do that, maybe it's more money. But you also get the target there a week earlier. And all kinds of things like this where customers use our network and databases more frequently because these problems occur. And I think that's what we're going to see here, too. I don't know how long this is going to go on. I don't know how long that Strait is going to be closed. There's talk about mines being laid in it right now. There's also talk of escorting ships through it. So we're just going to have to see what happens. But in the meantime, our customers have a lot more to think about. And a lot of the times they have to think about it, they go into our systems to figure out what to do, and that's usually good news for us.

Next question is from Chris Quintero from Morgan Stanley.

Congrats on the solid set of results here guys. I wanted to ask about how you are thinking about capital allocation given where the stock is now and obviously, how you all feel about the defensibility of the business and the opportunity on the AI front. And -- what does that mean for potentially organic growth versus reported growth and the delta there?

Okay. There's a couple of questions in there. One, on the acquisition front. We're starting to get to a point where prices had come down, and we were getting more deals done. And now you see what's going on in the public markets, and you know that has to translate into the private markets. And that causes another reset and set of negotiations that occur. When the value of public companies go down, that's what private equity firms would look to typically to say, hey, that's what these things will be worth eventually. That's why you should buy this company and that company. That puts them in a -- it puts us in a situation where we may be able to buy assets for lower dollar amounts than we have in the future or have in the past -- excuse me. That will be good news for us. As I mentioned in the beginning of the call, we're sitting on a lot of cash. We're sitting on a lot of excess capacity to borrow, and we probably have even more than that if we wanted to. We're $350 million now. It's like 1x EBITDA, so we can probably get more if we want to -- if we want to expand that to get more deals done. So we think we're in a very good position, ignoring what the stock price is and the value of the stock and we can't help the people think we get lumped into the technology companies. I made a whole argument at the beginning of this call that we might not be appropriate to lump us in the semi guys. And maybe the problems being overblown to begin with. But we keep making a heck of a lot of money, and we keep making more money than we did the quarter before for 20 years in a row now. And we use that money to buy companies up. And when markets are in turmoil, and we keep making a lot of money, and we use that money to buy companies, we think we're going to be in a very good position to be able to do that, and we're just waiting, looking, trying to make good decisions. And we would like our stock to be up, but that's not really what's material every day. It's we're running this business, and we keep getting -- making the business bigger and we keep making the business make more money, and we use that money to go buy companies and we don't think big games changing. We think are -- that's what we're going to continue to do. When I look back at some of the worst times in the financial markets and think about what happened to us, those were some of the best times for us in the financial crisis and the pandemic we really benefited. And I think you may see that again here, and we're certainly near enough to be in that position. We're healthier than other companies. That puts us in a good position to buy it. Also, some of the things I mentioned at the beginning of the call, the fact that we're -- our network is a great place for this AI technology. There's a lot of AI companies out there. Now almost everyone I look at in our space, they're all small. They all look like features to me, that will be great on top of our network. And I think that's going to put us in a good position as those companies, some of them succeed and they want to go further. We're a good place for them to combine because we have 30,000 customers, and they're using our network to do some of the things that will be a great fit for some of the AI features that come out from small companies. And we want to be in a position to either merge these companies into ours or if they're real small and the technology looks cool. But because of the way AI works right now, it might not be hard for us to replicate that functionality, and we might have a decision to make about whether we want to buy the company or just build the functionality ourselves. And it used to be that building functionality took a long time and as it gets to be easier and easier to build it and it happens faster and faster. You might see us make more decisions where we say, hey, we're just going to build better selves. So we'll see what happens, but I like the position we're in, for sure.

Got it. And then just as a quick follow-up on professional services. How should we think about the ground cloud business and the safety retraining that needs to happen? Is that going to be a tailwind for fiscal year '27? How should we think about how much of a benefit that could be?

Well, as FedEx and more and more companies like them start to outsource drivers, we think that GroundCloud business is going to be more and more valuable, some of the stuff that they're doing right now. I think likely to help us any company announce that you have to do more stuff and we're the dominant service provider in that business, it's an opportunity for us, so we're excited about that.

Our next question comes from the line of Paul Treiber from RBC Capital Markets.

Congratulations on the solid results. Just a question on next quarter baseline. Does baseline include the acquisition of OrderMine? And then also related to baseline, are you assuming strengthening organic growth or consistent organic growth compared to this quarter?

So I believe -- and Ed, correct me if I'm getting this wrong, but I think it's as of February 1, so OrderMine is not in there. It's a small deal. So I wouldn't imagine it would be material. Maybe, Ed, you can take the second part of that question?

Yes. I think generally as we come across into any given quarter, we expect at least plan for a similar organic growth rate in that quarter. We normally see a variation of 1 point either way. Obviously, it can be bigger either way. But that's the thinking coming in.

Lot of uncertainty out there, Paul. So it's hard for us to -- we're happy it's going back up to where it was, and we hope it stays here and maybe even grows a little bit. I don't see anything out there that's going to get us to the 15% that we were at in the middle of pandemic. And I don't see anything that's going to drop us back down considerably.

Okay. Well, nice to see the improvement this quarter. And a second question, just on the M&A team and with Ed moving into the CFO role, to what degree can you speak to like the M&A team, the composition there and if you're backfilling Ed's role?

Yes, I was going to say. Look, we've got some internal movement as a result, we've been getting ready for this for a while, as you can imagine. And part of that has been more people internally in M&A as well. We've got a general manager structure where we've got GMs that are involved in helping shape the business for each of our pillars, and those GMs have been getting more and more involved in the negotiation with founders and being the front person as they really understand the business, and that's been really helpful us. And it's actually allowed us to increase our capacity without growing the team as much as we'd expect over the last, let's say, 3, 4, 5 years. And so I think moving forward, we plan to do more of that. And we do have some openings. We do have an opening in the corporate development team, but we've got someone stepping in to lead it right now internally.

That's also -- and by the way, Paul, I mean, 1 of the reasons I was ticking around is not only to help with the transition for Ed, but to help in M&A deals, which she was always quite involved in as well. So Allan moving back towards that just to help out and make sure we're getting all the deals that we want to get done done is comforting for us because he's been doing it for a long time for us.

Our next question is from John Shao from TD Cowen.

Congrats on a strong quarter. So could you maybe give us an update on the mentality of a customer at this point? I know you guys are pretty close to them. So do you see them actively requiring AI features or just early-stage conversations?

Did you name a specific customer in there? Or did you say in general?

Just in general, do you see -- let's say, when you're getting conversation with the customer, do they often require the AI is one of the important features or it's just something nice to have?

No. I think a lot of our customers and they may be well behind our thinking in it, but they're still starting to say, "Oh, these things can help me? Do you guys have agents that we can use to solve some of these problems? Can you just take it over and saw some of the problems for me? And you know our sales reps are telling them the AI agents that we currently have and the ones that we're in the process of building so that they can figure out how to incorporate it into their processes. I think it's early days for our customers in this -- for most of them. Some are a little more advanced than others, but we're well ahead of that and trying to build and anticipate the agents that we would be providing to them to help them get jobs done in their back office. And maybe you have agents that help communicate with some of the agents that we're going to have internally that can provide them information so you really have agents talking to agents, AI agents talking to AI agents. And then just using their employees to make decisions 1 step above that, but a lot of the work has been done to make that a faster decision to make.

That's great color. My second question is, could you maybe help us break down your service organic growth this quarter? How much is coming from upselling and how much is coming from market share gains? Because I do remember you were talking about some market share gains last quarter.

We're getting for both. I don't know if Ed or Allan have specific numbers on it, but it's coming in both directions and it has been for a while. You hear with a lot of the AI functionality we're going out, that's starting to visibly produce revenue, which is great, new organic growth. We also have -- in several instances, we have situations where we've done a whole lot better than our competitors because we're bigger company that maybe had better thoughts on how to solve bigger problems in the market. We also have lots of different products. So it's easier for the customers to switch to us. In a lot of cases, I think some of our competitors have indicated bullishly, I think that they might end up being a competitor to our customers one day and jump out of the technology business and into being a broker or a [ forwarder ] or some other type of middleman, we've been very clear over the years. That's not what we're doing. We're out here to provide technology. And if there's money to be made doing your job, I'm going to sell you technology and let you make the money. I'll take $10 a transaction to provide a technology solution that helps you make $200 a transaction as to a customer, and I'll be happy about it. And we had competitors that had made overtures towards -- well, maybe I'll just take the $200. Now you're not a technology company anymore. Now you're a freight broker or freight forwarder or whatever. We have never made that leap, and we will never make that leap. We provide tools and software and a network to solve problems. And there's a lot of money to be made by our customers in doing that. Our experience has been that's great because they use our stuff more and more and more, and they're happier and happier with us for giving them the opportunity to do it.

Next question is from Stephanie Price from CIBC.

Just sticking to the AI topic. I hope you could talk a little bit more about the AI opportunity around data on the GLN. Do you expect you can eventually monetize the data? Are you seeing it more in terms of selling additional products? Like do you have some customer use cases at this point that you can kind of point to?

Using the data, remember, it's our customer data. I'm not selling their data to anyone. But to the extent I can anonymize it and use it to help them make better decisions. And I may be able to anonymize everyone's data and use it to help specific customers make better decisions because I know things that are going on generally in the supply chain. I think you can see us do that all over the place. I mean, we have -- the example I gave a minute ago right at the start of the call, right, sort of the Q&A section, is a great example of that. We see a problem in a port. We may -- who knows how we hear about that. We may hear about it from 1 carrier. And then we're helping 30 freight forwarders fix the problem because we go, there's a problem in Rotterdam right now. We need to get all this cargo out of Rotterdam. They might have to wait to come in the next morning at which point they're well behind in the process of doing that. And maybe the solution is moving everything to Antwerp or whatever. And we could do that without any human intervention, and we can do it very quickly. And the reason we're able to do it is because we found out about it quickly because several customers may have it happening to them when we find out from watching their data. And then do something about it because we know what they were each attempting to do in the first place. We knew where they wanted this shipment to be 20 days from now. And that might require several new bookings, right? I got to tell hey, we're coming into a different port. I got to get different trucking companies. I got to get different railroads. They're going to get different dray haulers at the end of these moves, all coordinated together and working on what is affecting an effective new shipment. And our customers will be quite happy to hear we did that overnight to solve a problem for them and still get the cargo there on time or roughly on time, and we did it for just a couple of hours. And there were no humans involved. And we see opportunities for that significantly increasing over the years and expanding the size of our network as a result and really helping our customers solve problems that required a lot of manual intervention just 2 years ago.

Okay. That's great color. And then maybe on the margin side, obviously, very strong margins in the quarter, trending above your 45% target. Are there any metrics you can point to around AI in terms of potential cost savings or productivity improvements you've seen from AI so far? Or should we think of these more just in terms of the 7% headcount reduction and the flow-through from that?

I mean there's a couple of components. The 7% reduction was a long enough time ago that it was already in our numbers in previous quarters. We always have on our network and our data content businesses as we get new revenue, our costs are relatively fixed. So there's a constant push up in those businesses, and some of the most profitable businesses we operate and they get more profitable every quarter. And then you add AI to that, where we're able to do more stuff, more efficiently, handle more customer support calls, develop more lines of code, answer calls more quickly, things that one, make customers happier; 2, deliver functionality to them faster, and cost us less to do it. And it's a win all the way around. And I think that's -- I talk to my friends. I'm independent of Descartes, I'm talking to my friends about what happens with this AI thing over time. Everyone's job may change, but I think they're still going to be work for everybody. You might have to get a different job or do something different in your job every day, and that might be frustrating to some people. But just like when the Internet came out, I remember Alan Greenspan talking about the massive changes in productivity that it created. And I think we're about to see that all over again. I would look and go -- it's hard for me to imagine that the world's economies wouldn't expand significantly because of this. I see what's just going on in my company. And I think we're at the tip of the iceberg in this right now. It's going to be massive for us and a lot of other companies in terms of either cost savings or increased productivity or increased dollars that we're able to bring or increased customer satisfaction. And it's probably going to be all of those things together. And if every company is able to do that, you're going to see the whole world's productivity pick up massively, and that's got to be good. It's got to be good for the world economy. And it might be a little frustrating for people that have to change their job, but they will. The Internet changed a ton of stuff, too. Mobile phones change a ton of stuff, too. And this is the next big one that's coming along. And to me, it's probably in line with the Internet coming out, a massive, massive change that's going to make every company more productive. And for companies like ours that are in the middle of it, I know it's going to provide us a lot of opportunity to expand and help our customers do much more sophisticated things that they couldn't have imagined 10 years ago for us to be able to do for them. And now it's going to be possible. And I think that's going to be great news for everyone.

Our next question is from Cole Couzens from Wolfe Research.

I know you're not reliant on seat-based pricing models, but I believe there's some small exposure in your software business. Is there any way to quantify like what percent of revenue is currently seat-based? And is there a chance that you could change this? Is there any chance you could change this going forward like some of your competitors?

It's about 15% of our business is seat-based. And without question, we will change it. It's changed over my lifetime. I've seen the pricing mechanism change like 10x and always aimed at what are we doing for you and how much is that worth? And I don't care if I'm charging a per seat to do that. And all of a sudden, if there's a Gentech agent doing it and we can't measure seats anymore, we're going to find another way, transaction-based pricing, how many bookings bill lading or whatever did you do in a month. Everything has minimums in our business anyway. So it's just going to be a new mechanism. And you may be referring to some of our customers, our competitors that have done some stuff to move -- to change it and we're perceived to be doing it unfairly. I mean, I think one of the things our customers have come to expect from Descartes is that we're always pretty darn fair about how we price stuff. And when we put something out for them that changes the way that we do it, it's a fair way to do it. But again, it's a small part of our business and not something I'm particularly concerned about.

Sorry, I was just going to add to that in case it was hard to hear is 15%, 1-5. Just under 15% in case it sounded like 50%.

No, I got that. And maybe just on the organic growth in the quarter. It sounds like it came from both market growth and share gains. Maybe if you can just expand more on what's driving these share gains? And how sustainable this is going forward.

I talked about it a little bit before, but we're a big company with a lot of solutions and a lot of customers, and we're a safe choice. I spent some time talking about that in the prepared comments. And as things get complicated, I think people look to go to the safe guy, they know it's going to handle the problem. We have some businesses where our competitors are selling [ their services ] a little bit. We had some competitors that have jacked up prices on customers and made some customers angry, all of those things came to benefit us. And sometimes I was just staying to Stephanie a minute ago, sometimes it's tough to sit there and be the guy that's more than fair all the time and well, I could take advantage of this situation and make more money in the short run, and we never do that. We always are planning for the long-term relationship with these customers. I'll just pick on one of them, but I would always say to people, there's only 1 FedEx, don't get in a fight with them, or UPS or [indiscernible] or whatever else, right? And we've gone to great strides and at our own -- at cost to us because we could have been pigs about it at various points and chose to take the customer-friendly route because if I have 40 contracts with them, I would like to sign the 41st and the 42nd and the 43rd too. And if you start doing stuff that makes them think you're not a great guy to do business with, they're not going to sign those next contracts with you. And we've taken the approach that's, okay, play the long game for all these things and it's been paying off over time as we get bigger and bigger. Everyone always told me it would get harder as we get bigger, and I think because of the approach we've taken to it, it's always gotten easier. They've come to treat us like partners as we have more relationships with them. But when we're fair with them, they're very comfortable signing up new contracts with us. And some of that's playing out now and to our benefit as we get bigger and bigger.

Our next question is from Robert Young from Canaccord Genuity.

First question for me would be on the trade data and intelligence and real-time tracking, they've been talk 1 or 2 drivers of growth for a number of quarters now. Just thought it would be interesting to get some insight on the degree of penetration into the GLN user base. Like are we still very early in the deployment? There's been a lot of world shakeups to drive that. And how far are you into the user base?

We think there's still a long way to go. A lot of competitors in that space were bought up by people that don't really serve the supply chain, they serve banks and legal law firms and things like that. A lot of our competitors kind of slowly walked away from the business, and that's been great for us. We become the absolute global leader in it. One other companies have come up for sale in that space, we bought them and become a more dominant player in that industry. And therefore, the place that everyone always turns to. And the more governments come out and change these tariffs all the time and the more they changed the sanction parties or add to the sanction parties, the more people have to pay attention to that and buy more access from us. And there's a long way to go, and it's going to keep coming. And you might see us get into related businesses with it. You also may see us using AI to combine some of our real-time data off of our network anonymized to supplement that data and make it more valuable. So we like that business in the long run. I've also heard people say, hey, well, AI let somebody else get into that business and I get there's not a chance. It's so much going for us there. We have so much to get that data even though it's publicly available to get it from all 140 countries and then all of the different agencies within that country that are able to identify sanction parties or add to the tariffs or duties regime and we then put all that data and normalize it, put it all in one database. We then distribute to our customers in whatever format they want SAP, NetSuite, whatever they want to use it in. And then we don't charge that much for it, right? So it doesn't make any sense for anyone to try and replicate this because I'm charging you $20,000 a year. It's just like -- it's practically free. And maybe the most important part is you can't go to the government. And when they say hey, why did you ship to this guy you weren't allowed to ship to and say, well, I built my own AI tool and the government is going to look at it and go, well, it didn't work. It's a lot safer to say, well, I got it from the current and the government goes, well, Descartes usually right about these things. I wonder who's actually right here. We're a safe choice. And for a very low cost, we think that puts us in a very defensible position. And to try and -- for someone to try and replicate that in the long run, I think it's a [ fool's errand ].

Okay. My second question, this agentic opportunity for self-healing logistics that you keep coming back to as an example. It sounds like you're framing it as a future state, but and you've got the data and you've got the signaling from the network. And so I'm curious, is there a technology gap? Or is that just execution and engineering to roll something like that? Like how far realistically and is that...

Well, we're doing some of it right now. It's going very fast. And the most interesting part of that, and we haven't talked about it much yet, I've alluded to it a couple of times. It's going very fast right now. Our ability to come up with new ideas and roll them out is now weeks and months versus months and years. We're coming up with new ideas. And the ideas are coming so fast, and I'm shocked at how fast we're building these things using off-the-shelf AI tools that we're adding to our network and using against our data, as I mentioned in the prepared comments, and it's going very, very fast. And I'd say half the cases -- I don't even have to sign the customer to a new product, they're already signed up to have them going to manage shipments. They pay a certain price to do that. And if I have the opportunity to go in and change their shipments to their benefit, it works out great for me. And we're so great for them too. For a couple of bucks, I'm solving a very big problem for them. And I think there's -- we keep thinking of more things we can do like every week, there's more things coming out with someone in our organization is talking to our customer goes, hey, you know we can do this for the customer. And when we used to have those concepts or those things happened 10 years ago, it was like, yes, we do that for the customers. It could take us 10 years to code that -- a year to code that. Well, now it's like 3 weeks and there's no coding involved. And we're solving the problem for the customer. This is a huge opportunity for us and a big benefit for our customers. It's a head scratch to me right now what people are saying about the lumpiness in with these companies that are enterprise software companies. And I don't even think I believe that they're in the same kind of trouble that everyone else does. And I don't think we're like them either. I mean, I think we have this network with all this proprietary data and our customers are helping us -- we're helping our customers manage things. And AI can help us do it better. And I think we're in the catbird seat. All we've got to do is execute. And if I complement our company at anything, it's -- we're very action-oriented and we're pretty good when we get an idea, we go after it hard and make it happen. And now it's a lot easier to make it happen. So we're excited about the opportunities ahead of us.

The next question is from Mark Schappel from Loop Capital.

Just one here. During your prepared remarks, you called out areas of strength in your business, global trade was 1 visibility, customs and regulatory. What parts of your business maybe weren't quite as strong as you would have liked?

I mean, most of the business post stellar numbers, most of it -- every part of our business was performing better than we hoped. I don't know if there's anything I'd call out. I don't know if you have any thoughts on anything that was not great. I mean I'd love it if the trucking volumes were better and funny enough or getting better right now. And even in that business, we still grew pretty well because we're able to take a bunch of business from our competitors. So that business was up. I don't know if there's any that you would say we're underperformed, Ed?

No, I think -- network volumes in general are still not where we'd love to see them, whether that's -- Air has been growing reasonably well. I think you'll see from the available -- the information available out there. Ocean varied depending on the country and the U.S. freight market has been in a freight recession for a while. So we'd love to see those volumes pick up. But generally, yes, we're really happy with the performance.

There are no questions at this time. I would now like to turn the conference back to Mr. Ed Ryan for the closing remarks.

Great. Thanks, everyone. We appreciate your time on the call today, and we look forward to reporting back to you on Q1 in June. Have a great evening. Thank you.

This concludes today's conference call. Thank you for participating. You may now disconnect.