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William Mcdermott
Chairman & CEO, ServiceNow, Inc.

$NOW ServiceNow Q2 2026 Earnings Conference Call

🎥 Jul 22, 2026 📺 EARNMOAR ⏱ 71m 👁 62 views
07/22/2026 Q&A: 31:52 ServiceNow, Inc. provides cloud-based solution for digital workflows in the North America, Europe, the Middle East and Africa, Asia Pacific, and internationally. The company provides asset management, integrated risk management, IT service management, Operational Technology management, Security Operations, strategic portfolio management, IT operations management products; customer service management product; field service management applications; and sales and order management services. It also offers human resources delivery; legal and contract operations; workplace serv...
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About William Mcdermott

On ServiceNow's Q2 2026 earnings call, McDermott stated that the company has "beat expectations in every quarterly report" over the past seven years, expanded profitability and free cash flow, and "quintupled" its total addressable market. He said ServiceNow has accelerated six of its own businesses to "billion or multi-billion dollar" status and processes "billions of workflows." McDermott described the company as moving from a "number eight company" to "contending for the top spot" in the enterprise software space. McDermott discussed the company's AI strategy, asserting that "the path to value isn't just making AI, it's deploying AI securely across the enterprise." He argued that ServiceNow's platform offers "optionality on all AI outcomes, not a bet on any one," and provides "needed certainty in an uncertain stack." He cited customer examples including Maybank, which he said signed a five-year deal to use ServiceNow's AI platform and control tower for security and autonomous regional operations, and NTT Data, which he said is using the platform for global AI governance and adoption.

Source: AI-verified profile updated from William Mcdermott's recent appearances. Browse all interviews →

Transcript (66 segments)
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Operator0:01
Ladies and gentlemen, thank you for standing by. My name is Christa and I will be your conference operator today. At this time, I would like to welcome everyone to the Service Now second quarter 2026 earnings conference call. All lines have been placed on mute to prevent any background noise. After the speaker's remarks, there will be a question and answer session. If you would like to ask a question, please press star one on your telephone keypad. And if you'd like to withdraw your question again, press star one. We will now turn the conference over to Darren Yip, senior vice president, investor relations and market insight. Darren, please go ahead.
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Darren Yip0:40
Good afternoon and thank you for joining Service Now's second quarter 2026 earnings conference call. Joining me are Bill McDermott, our chairman and chief executive officer, Gina Mastenuno, our president and chief financial officer, and Amit Severi, president, chief product officer, and chief operating officer. During today's call, we will review our second quarter results and discuss our guidance for the third quarter and full year 2026. Before we get started, we want to emphasize that the information discussed on this call, including our guidance, is based on information as of today and contains forward-looking statements that involve risks, uncertainties, and assumptions. We undertake no duty or obligation to update such statements as a result of new information or future events. Please refer to today's earnings press release and our SEC filings, including our most recent 10Q and 10K for factors that may cause actual results to differ materially from our forward-looking statements. We'd also like to point out that we present non-GAAP measures in addition to and not as a substitute for financial measures calculated in accordance with GAAP. Unless otherwise noted, all financial measures and related growth rates we discussed today are non-GAAP except for revenues, remaining performance obligations or RPO, current RPO, and cash and investments. To see the reconciliation between these non-GAAP and GAAP measures, please refer to today's earnings press release and investor presentation, which are both posted on our website at investors.serenow.com. A replay of today's call will also be posted on our website. With that, I'll turn the call over to Bill.
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William Mcdermott2:15
Thank you very much, Darren, and thanks everybody for joining today's call. I looked at the transcript from an earnings call 7 years ago, and back then, we said Service Now would be the defining enterprise software company of the 21st century. Thought I'd give you a report out. Since then, we beat expectations in every quarterly report, expanded the profitability and free cash flow of the company, quintupled our total addressable market, accelerated six of our own unicorns to billion or multi-billion dollar businesses, processed billions of workflows and trillions of transactions, grew the partner ecosystem globally, architected the most complete AI control tower for the enterprise, maintained our best-in-class renewal rate, increased our brand value, offered our customers deep enterprise context, unlimited choice and differentiated capabilities, and of course, we set a course to 32 billion in revenue in 2030, operating at the rule of 60 and beyond. So today, we're adding a stunning Q2 print to this track record. Subscription revenue growth was 23% in constant currency, one and a half points above the high end of our guidance. CRPO growth was 21.5% in constant currency, more than two points above our guidance. Operating margin was 29.12%, three points above our guidance. We had 123 deals greater than a million in net new ACV up 40% year-over-year. Service Now AI ACV exceeded expectations again, surpassing a billion, keeping us on track to beat our target of 1.5 billion ACV by the end of 2026. We're feeling real good about it. What does it all mean? We are who we said we were. The path to value isn't just making AI, it's deploying AI securely across the enterprise. IDC forecast spending on AI software is going to grow 53% this year, 17% faster than AI hardware. Whichever chip wins, whichever lab wins, whichever price per token regime prevails, the enterprise needs one governed layer of record for work. And Service Now offers needed certainty and an uncertain stack. Our platform is optionality on all AI outcomes, not a bet on any one. We're in the bullseye of AI, cyber security, workflow orchestration, integration, and automation. That's why we're growing fast. It's why we're only just getting started. We are who we said we were.
Over the past several months, we've addressed a number of really good questions during meetings with investors. Today, I'd like to give every investor the professional courtesy of those exchanges. One question we regularly get is, 'Is Service Now becoming a cyber security company?' Here's the answer. Service Now already was a billion-dollar plus cyber security business. Today, our risk and security business is the fastest growing of the top 10 cyber companies in the enterprise. I'll make it very clear. We now have a 10-figure cyber security business that's growing faster than all the other top cyber security companies. We're building the world's most integrated end-to-end security platform across cyber risk and compliance, agentic incident response, exposure management, identity and access security, cyber physical security, and continuous vulnerability detection. The security stack sits on top of our ITSM and ITM core infrastructure. So, think about it. AI control tower plus Armis plus Vasa. Our customers want every AI in the enterprise to be visible, governed and secured in one command center, native or third party. They don't want any blind spots. There's 2.2 billion agents entering the enterprise globally. That's 2.2 billion new identities, a quarter of today's human population. Vasa maps access across human, machine, and AI identities. We'll have 40 billion connected devices in the world in the next four years. Armis already tracks 7 billion of those devices in real time. Many customers, especially in the public sector, seek out Armis because government policies require state-of-the-art visibility. The attack surface is exploding. Every ungoverned asset and identity multiplies the blast radius. When you integrate awareness and identity with the actionability of the Service Now platform, you have a complete 360-degree capability to secure the enterprise. It's highly telling that the AI control tower is already gaining traction with our partner ecosystem. In fact, one global services firm is leveraging this portfolio to help their clients rapidly triage their cyber security activity. They're hunting down problems with Service Now and the others are rapidly following suit. So once again, this is the eighth largest cyber security business in the enterprise and the fastest growing and we are just getting started.
Another question we get is when will customer deployment of AI mark an inflection point for Service Now's growth? Here's the answer. It already has. The percentage of renewal customers purchasing Agentic AI for the first time doubled quarter over quarter and year-over-year. So, customers that weren't already on the AI journey are signing up fast. Most customers are now completely allergic to anything that looks like a project. They only want deterministic. Service Now only does deterministic. That's a big reason why customers with agentic AI in production have grown 9x over the last 9 months. So here's a few of many examples. The Department of Air Force is expanding its use of the Service Now AI platform. The deployment will unify IT operations and enterprise visibility. Experian is using Service Now to automate intelligent at scale. We will also integrate our platforms, embedding Experian's data and decisioning into existing Service Now workflows. In a 5-year deal, and many deals are going longer. You should see that in the CRPO and the RPO, by the way. May Bank, Malaysia's largest bank, will leverage Service Now to establish a resilient operation center to fortify security and resilience. The US federal government's largest IT contractors and agencies are now consolidating asset discovery and security response on Service Now. One agency is using Armis to move from asset blind incident response to comprehensive threat hunting. Hitachi will standardize enterprise asset management across its global businesses on Service Now. Additionally, we're partnering with them to advance the Hitachi intelligent infrastructure monitoring solution. The city of Raleigh became the first local government to deploy Service Now's L1 AI specialist in production with no in-house AI engineering bench behind it. That's right. It's on its own. The city is moving to become fully autonomous one ticket category at a time. Many enterprise customers are at various stages of the same journey. They're progressing from supervised to autonomous operations. A large global consumer good company partnered with Service Now to launch its first agentic AI use case in ITSM to triage workflows. The customer rapidly deployed a repeatable governance first blueprint for future agentic use cases. A leading global food and beverage company found itself with AI agents proliferating across five platforms simultaneously with no unified way to govern them. Their CTO has a mandate. No agent goes live without clearing governance, risk, value, and observability. AI control tower went live this spring. They can now see in real time who was building AI and whether it had been approved. The value for them was immediate. It's worth highlighting IT operations management continues to be a source of strength to Service Now extending its outperformance in Q2 with attach rates to ITSM continuing to rise year-over-year. Our CMDB gives customers a trusted system of record for their infrastructure, applications, services, and dependencies. Service Now delivers the intelligence layer and the infrastructure it runs on.
We also get asked, is Service Now gaining traction in the CRM marketplace? Here's the answer. The market participants in the enterprise are very good. They're really good companies. And let me be clear, they're not going away. Having said that, we're doing very well. Already, we're a two billion ACV business. CRM NNACV growth accelerated again on a year-over-year and quarter-over-quarter basis. Sales CRM average deal size doubled year-over-year. We're on track to execute over two billion service CRM cases this year. In addition, partners are increasingly positioning Service Now as an operational CRM platform, opening executive conversations across the suite. For example, in Q2, a partner closed a full front office replacement of a major CRM deployment in just two months. A leading North American automotive marketplace outgrew its legacy CPQ provider. It couldn't handle the volume or complexity of the business. After five vendors failed to deliver, Service Now will help their sales teams achieve the speed and accuracy to operate at scale. An American software leader selected Service Now to modernize a highly customized quoting environment. Our ability to connect CPQ with broader workflows, customer data and service operations was a key differentiator in the win. A leading North American telecom infrastructure provider selected us to unify commercial and field operations on a single platform. Service Now will scale quote volume 3x with no added headcount and cut repricing from weeks to hours. A regional financial institution consolidated its loan origination workflow onto Service Now's unified CRM platform, replacing legacy point solutions.
Hey. Hey, here's the big one. Voice is the next frontier and we're winning it. We just proved something extraordinary. A large airline has gone all in running their customer service voice calls on Service Now's voice AI CRM agents. This is live in production and handling 5 million annual voice calls in year 1 alone. The results speak for themselves. Customer satisfaction is off the charts. We also get asked about Service Now's role in the HR stack. Here's the answer. Employee works is the strategic entry point for enterprise-wide employee experiences. This combines move works conversational AI with Service Now workflows to create a single place to search, self-serve, and take action across HR, IT, and all workplace services. As Fortune 500 customers adopt employee works, we're seeing it pull through broader HR and employee experience opportunities. A similar pattern to what's happening in the CRM business.
We get asked about the industry dynamics and enterprise AI. Here's the answer. Innovating for the enterprise is like politics. As you may have noticed, it's pretty easy to make noise, hard to make progress. One of the reasons Knowledge 2026 was the biggest we ever hosted is because customers are desperate to make real progress with a proven innovator they can trust. Sessions on ITSM, ITM and AI control tower were all oversubscribed because the influx of AI creates more activity for IT, not less. Customers demoed our latest product releases, including new AI specialists. Specialists for IT, CRM, employee service, and security. They learned about Service Now action Fabric. This enables any agent, clawed, co-pilot, or homegrown, to tap directly into secure, governed actions headlessly. With so much of a data mess, they wanted to understand Service Now's context engine and autonomous data analytics, which resolve data fragmentation across systems. With interest in Service Now rising, our innovation velocity is accelerating to meet the opportunity. For example, we have a big announcement coming very shortly, a business model evolution that expands our TAM with AI native products. This new offering will be a conversational service desk experience, no tickets, and AI coded automation. In a new product-led motion, we're targeting the Fortune 500,000, many of whom we expect to replace their legacy offerings and bypass the startups. Stop wasting time. We already have several customers in beta and soon will be GA that's generally available. This is the first of many net new AI native products we'll be bringing to market in the weeks to come. Our dynamite engineering team is on fire. Another area of real progress for customers is the expansion of our strategic partnerships. Deeper integration of Service Now AI control tower and Microsoft agent 365. Extended agentic AI governance from desktops to data centers with project arc. A new agent secured by the NVIDIA open shell runtime and governed by Service Now AI control tower. Enhanced collaboration between Service Now's AI native FTEES and industry-led Accenture FTEES. There are too many to cover here. The momentum is everywhere.
Here's a rapid fire round for you. Are we worried about seat compression? Not at all. Our addressable user base is growing and 50% of our net new business is already non-seat-based. We keep seat-based pricing because customers prefer it for predictability, particularly now where a lot of pricing out there has been less than predictable. Are customers going to build their own? I've yet to meet a customer who would even consider it. The best tech leaders know it will cost 5 to 10x to build an agent versus run one on Service Now. How's the government business? It's never been stronger. National governments, regional governments, local governments, they're all expanding their Service Now deployments. There are just a few questions that I hope you found useful in answering for you over these few moments we get to spend together. For now, I'll answer the final question. Why will Service Now get incremental share of wallet in the enterprise? I'll explain it as plainly as I can. There are many good companies in the enterprise today and I do have respect for them all. Some that have built very strong businesses over the years, others that are new participants. They're good companies. The established companies aren't going anywhere and I expect them to do very well based on the years of business logic and context in their platforms. The new companies are growing fast and they'll be disruptive to some legacy point solutions and likely complimentary to the bigger platforms. There are two major factors that should cement conviction in Service Now. One. If you were to assess all the players out there, which of them include a system of record, deep enterprise context, fully integrated governance and auditability, a proven global distribution channel, and a flexible pricing model that includes predictable consumption and outcome-based options. I'll save you the trouble. Only Service Now's completeness of vision checks all of those boxes. The second factor is pure market fit. Which of the platforms in today's enterprise was designed from the ground up to integrate to all of these players? Again, the only answer is Service Now. Risk at scale is why CEOs are losing sleep right now. They read all these thread headlines. They see all these platforms and token invoices and they don't know what to do. This is the gap. Service Now is the bridge. We're in the control business. One platform, one system of action, any cloud, any agent, any workflow, any model governed, secured, and accountable. This is the AI control tower enterprise leaders now know is mission critical. Enterprise execution with cyber security at the core of the platform and cyber security growing real fast. Service Now is the rules and rails of the enterprise. We're in command of the agentic enterprise from workflow to cyber. Our position is real. It is durable. It is compounding. This is the foundation for a rerating of Service Now. Let's get it started today. We said defining enterprise software company of the 21st century. We are who we said we were.
Thank you for your time today, for your interest in Service Now, and for your enduring support. We'll never take it for granted. With that, I'll hand things over to our president and CFO, Gina Mastenuno. Gina, over to you.
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Gina Mastenuno23:16
Thank you, Bill. Q2 was an outstanding quarter that highlights Service Now's broad-based demand, strong execution, and operating leverage. Once again, we beat the high end of our guidance range across every topline and profitability metric. AI net new ACV growth continues to outpace expectations. Our AI control tower is supercharging our security and risk business and ITM is seeing strong demand tailwinds for the CMDB to serve as an essential governance and data foundation. Simply put, the momentum across the portfolio continues to build and we remain on track to deliver another exceptional year. Q2 subscription revenues were 3.877 billion, growing 23% year-over-year in constant currency and 150 basis points above the high end of our guidance. RPO ended the quarter at approximately 29 billion, representing 22% year-over-year constant currency growth with an increase in average customer contract duration. Current RPO was 13.2 billion, representing 21.5% year-over-year constant currency growth. That's a 200 basis point beat versus our guidance. Across our workflows, we saw widespread demand. Technology workflows had 50 deals over a million, including nine over 5 million. The combination of Armis and Vasa has had a strong pull effect on our core. ITSM was in 15 of our top 20 deals. It had an outstanding quarter in 18 of our top 20 deals with 14 deals over a million. Our security and risk solutions were in 16 of our top 20 deals. Also with 24 deals over a million. CRM and industry workflows were in 16 of our top 20 deals with 15 over a million driven by sustained momentum in CPQ and sales and order management. Core business workflows had 12 deals in the top 20 with a blockbuster 24 deals over a million driven by strong demand for employee works and creative workflows had 18 deals in the top 20 with 14 over a million. From an industry perspective, business and consumer services led the way with net new ACV growing over 6x year-over-year. Education posted impressive growth, surpassing 125% followed by telco and media growing nearly 40% year-over-year. Manufacturing also delivered strong growth in the quarter. Our renewal rate was a best-in-class 98% in Q2, underscoring the durability of our customer relationships. We ended the quarter with 658 customers generating over 5 million in ACV with 32 more customers crossing the $20 million threshold since last year. As customers scale, they are consolidating more on the Service Now AI platform, demonstrated by 18 of our top 20 deals, including eight or more products.
Service Now AI continued to outperform expectations in Q2 with ACV crossing over a billion and net new ACV growth accelerating sequentially growing over 40% quarter over quarter. Deals including five or more Service Now AI products grew 5.5x year-over-year which drove a tripling of million-dollar plus deals. In addition, the number of customers with Agentic AI in production has increased 9x over the last nine months, a leading indicator for the future consumption opportunity. While still early, we're already tracking ahead of our target for AI to reach 30% of ACV by 2030. As Bill noted, our new AI native SKUs are making our Agentic solutions more accessible across the customer base as evidenced by deal volume amongst first-time Service Now Agentic AI buyers growing over 45% year-over-year. What's more, upgrades to our new AI native SKUs are driving price uplift in line with the 20 to 30% framework that we laid out at our financial analyst day. Employee works or AI front door for the enterprise workforce continued to build strong momentum with deal volume growing over 150% quarter over quarter. Another good example of our acquisitions amplifying the core. The robust attach rates of AI across the platform are also driving our data and analytics business. Raptor DB Pro deal volume grew 80% year-over-year again in Q2 and workflow data fabric was in 17 of our top 20 deals. Turning to profitability, non-GAAP operating margin was 29.5%, 300 basis points above our guidance driven by the revenue outperformance and timing of spend primarily in marketing. Our free cash flow margin was 16%. Together, these results continue to demonstrate our ability to drive a strong balance of world-class growth, profitability, and shareholder value. Moving to our outlook for Q2, we saw net new ACV outperform, so we're raising our full-year guidance. Part of that outperformance was due to strong US federal demand, which shifted some on-prem revenue from Q3 to Q2. This is simply about timing. I'm very confident in our Q3 and full-year guide for 2026. We're raising our subscription revenues by 15 million at the midpoint from 15.755 billion to 15.770 billion representing 21% year-over-year growth on a constant currency basis. We expect subscription gross margin of 81% reflecting more customers utilizing our hyperscaler partnerships as well as accelerating AI adoption. We expect operating margin of 31.5% and free cash flow margin of 35%. And GAAP diluted weighted average outstanding shares of 1.04 billion. For Q3, we expect subscription revenues between 3.975 billion and 3.980 billion representing 20% year-over-year growth on a constant currency basis. We expect CRPO growth of 20% on a constant currency basis. We expect operating margin of 31% and we expect 1.05 billion GAAP diluted weighted average outstanding shares for the quarter.
In closing, Q2 is another outstanding quarter. In an environment where most enterprises are still searching for AI's ROI, Service Now is the platform delivering it. In my conversations with CFOs, the question has become simple. Where is the return? They've watched budgets burn on pilots that demo beautifully and never touch the P&L. Service Now doesn't just deploy AI. Our AI control tower provides a single view to discover, govern, and secure every AI system and tie every agent to a real ROI. AI that only advises is a cost. AI that completes the work is a return. On our platform, agents don't just reason, they take action. And because we have the contextual data, every action is anchored in the live governed reality of the enterprise, turning probabilistic AI into deterministic, reliable outcomes. That's how AI moves from an operating expense to operating leverage. Customers aren't paying us for tokens, they're paying for resolutions. That's why enterprises are choosing Service Now to convert AI ambition into measurable ROI. Finally, to our teams around the world, thank you. Your execution is why the world works with Service Now and why we are more confident than ever in the road ahead. With that, I'll open it up for Q&A. Thank you.
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Operator31:35
Thank you. If you would like to ask a question, please press star one on your telephone keypad to raise your hand and join the queue. And if you'd like to withdraw your question, again, press star one. We do ask that you limit yourself to one question. For any additional questions, please recue. And your first question comes from Gabriella Borges with Goldman Sachs. Please go ahead.
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Gabriella Borges31:59
Hey, good afternoon. Thank you. This is for Bill or Amit if he's on as well. I wanted to ask you about your level one IPSM product cycle. I know you talked about it at knowledge and when generally available, you had the pilot customers, all that good stuff. My question to you is what are your reflections over the last three months? What's working with that product cycle? What's the feedback in terms of how you can make it better? And Gina, you already gave us a couple of general AI data points on monetization for this product cycle in particular. Any nuggets you can share with us on how much customers increase spending with Service Now when they go through the level one automation for ITSM? Thank you.
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Amit Severi32:40
Hey Gabriella, thank you for the question. I see the level one ITSM product cycle has been very accelerated for us. The thing we're solving for, which we talked about at Knowledge, is to really have human equivalent AI specialists which can take on the full task end to end without any customer having to deal with individual pieces of technology, AI agents, the orchestration, the reasoning. We take out and abstract out all of that work for them and customers really benefit from the outcome and that is what is resonating with the customers today. So we have deployed level one support AI specialist as well as 20 other AI specialists inside Service Now and we're starting to do that with our customers. Today, 40 plus customers are using it already and getting a lot of good benefits. We're talking about closing down close to 80 to 85% of the service request without having any human interaction and this end to end service request completion. Not just giving you the information but actioning on those requests as well and that reduces the time. So for example, some of these requests might take 2 days for humans to get to or resolve. We're doing that in 20 minutes. So the productivity gains for employees are very high and very superior because now they're getting the issues resolved while we reduce the volume of requests required for humans to deal with and they can now deal with something more complex instead of having to deal with all these requests which are coming in volume wise. So this is a game changer. This is first in the industry and we've seen huge success already and you should expect a lot more continuous evolution in this space. Customer traction is excellent so far. Usage goes up considerably because you do burn down a lot of analysis because you are doing full end-to-end task resolution here and that's really where the opportunity for us exists and it's also labor arbitrage. So we also get to monetize the labor cost which employees have to pay. Now they can do this in a much cheaper way. So we can take away the labor cost as well. So a lot of great examples happening here and great progress so far.
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Gina Mastenuno34:35
And I'll just add Gabriella to the monetization question because it's so very important. I'll reiterate we crossed a billion in AI ACV in the quarter well on our way to the 1.5 billion. I also noted in my script that we're while early we're already tracking ahead of our target for AI to reach 30% of ACV in 2030. And these L1 autonomous agents, if you think about the complex task that they're able to execute really drives more and more assists. So, as we think about compounding effect of consumption, this is a great example of how we will reach our 30%. But tracking very well and we're really excited about what we're seeing.
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Gabriella Borges35:20
Thank you for the detail.
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Gina Mastenuno35:22
Thanks, Gabriella.
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Operator35:24
Your next question comes from the line of Michael Turan with Wells Fargo Securities. Please go ahead.
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Michael Turan35:31
Hey, great. Thanks so much. Appreciate you taking the question. Uh, you know, on the Q2F side, you mentioned the Fed outperformance and I guess the question is is that Fed strength, could that at all prove a leading indicator for a bigger bounce back there versus last year in terms of spend or how should we think about the seasonality of that segment? Maybe you can also frame just how you're approaching that from a 3Q guidance perspective if there's any prudence just given the duration or upfront impacts there for us to be thinking about and parsing Q2 and Q3. Thanks very much.
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Gina Mastenuno36:04
Yeah, so thanks Michael for the question. So, you know, clearly a strong Q2 and Fed is good news in general. And as we move into the big Q3 quarter for Fed, it's definitely a good indicator. We called it out specifically because we did have a little bit more on-prem in Q2, which is purely timing, but I want to be clear that the beat was not all just on prem. We had really strong net new ACV in the quarter as well which allowed us to raise the full-year guide and so Fed business is strong as we move into Q3 pipe looks good and we're very excited about what we're seeing.
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William Mcdermott36:46
and Michael I would just build on what Gina is saying by simply reinforcing the message I gave you on cyber. Cyber security is going to be a massive tailwind for Service Now. The AI control tower for reinventing business is massive. Think about all of the assets, the incidents and the actions that have to take place to manage these large entities of government operations. Think about the department of defense even as one example and the importance of saving people's lives like medical material agencies in flight putting things together the devices the coordination the beauty of Service Now as Amit said a moment ago it doesn't just think but it acts and it closes the loop and that I think is the full cycle of AI innovation and cyber security that we're building here at Service Now. And as the attack surface becomes even more dangerous by the moment, we're up for the challenge. And I think you're going
to see us move up the leaderboard from a number eight company to contending for the top spot.
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Michael Turan38:05
That's very clear. Thanks. Congrats on the creation there.
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William Mcdermott38:08
Thank you, Michael.
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Operator38:10
Your next question comes from the line of Alex Zukin with Wolf Research. Please go ahead.
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Alex Zukin38:19
Alice,
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Operator38:23
your next question comes from the line of Cal Leani with Bank of America. Please go ahead.
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Cal Leani38:31
Hi guys, I have two questions, but I'm going to combine them into one. Your pricing is token based, assist based. And competitors like Salesforce offer outcome based that could introduce pricing pressure. On the other hand, you own the data, you own the context and competitors need to get the data out, contextualize it and pay a lot for tokens to do that. So my question is at the end of the day you're launching many AI modules in the next few quarters or next few months. Do you think on top of the value can you also offer price advantage versus competition? What happens to pricing of AI given all these differences between you and competitors? Thanks.
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Amit Severi39:17
Yeah. Hey Tal. So we've been very clear in terms of keeping pricing very customer friendly and thinking about how they want to adopt our products and where they see value. So we never try to do strange things which are very hard to manage or hard to understand. So hybrid pricing structure which we introduced where it's a combination of license and usage directly applies to giving the customer predictability and flexibility and it does when you use more that means you are getting good outcomes otherwise you will not use more. So outcome is already tied in the underlying assumption of usage. So trying to define another metric which is very hard to understand or measure and then have to go back and forth in terms of contracts and everything else in enterprise software doesn't work and we've seen that for years and it's played out so well for us now because the way we have addressed our pricing requests from customers seems to resonate with everyone. So that's really how we think about it and the question you asked about tokens and things like that is really based on the outcome in terms of what you get, the result, the full solution versus just counting each of the individual pieces of LLM or things like that. So customers are seeing the outcome from their usage but they also now are being very predictable in terms of what they will pay us and that has worked quite well. And the second thing you asked about how we allow access to our systems in the context, our context is for us to really get a better result for our customers and our competitors don't get access to it, neither do LLMs. So that's really where the secret sauce is and that's something which we when we run 7 trillion workflows on our platform we are collecting so much intelligence which can really change the game for customers from the usage perspective and the results perspective and that's where the differentiation comes in and nobody else has that today.
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Gina Mastenuno40:59
And I would just add on your question on pricing, our pricing uplift for our pro plus continues to be above 30% and for our new AI native SKUs that have just launched, those uplifts are in line with what we talked about at FAD of being 20 to 30%. So customers absolutely understand the value that our AI is delivering to them.
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Cal Leani41:25
Great. Thank you.
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Operator41:27
Your next question comes from the line of Sic Chattery with JP Morgan. Please go ahead.
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Sic Chattery41:34
Hi, thanks for taking my question. Maybe if I can follow up on the AI targets here which you're clearly exceeding already in terms of your road map and tracking ahead. How much of the upside or can you sort of help us ballpark how the adoption is going in terms of new customers coming into the ecosystem as a result versus maybe you're being able to upsell more of your customers into the higher tier packages because of the AI features being more interesting at that level? Help us if you can help us broadly break that down a bit in terms of what's the driver of the upside as you look at the road map here. Thank you.
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Amit Severi42:14
So thanks so much for the question. As we talked about, the AI native SKUs are really making our agentic solutions more accessible to that customer base, new customers and then existing customers who haven't tried AI before. So we talked about deal volume among first-time ServiceNow agentic AI buyers. Customers that haven't bought AI before grew over 45% year-over-year and again uplifts in pricing of 20 to 30%. So the AI functionality is really resonating across the board with our customer base, existing customers and also for new logos. So the new customers are also leaning into AI first as you would expect. I'll just add that the use cases across AI are just expanding quite a lot. Customers of course started with the GenAI kind of mindset but now they're doing resolution planning, incident management, triaging, the whole case management around it. So once the agentic use cases get started, we're seeing a tremendous amount of interest in doing more and more and that's why you've seen the growth Gina's talking about with our AI adoption. And that happens for existing customers because they want to identify their workflows. They're finding new use cases in other departments. So there's a lot of cross-sell opportunities because you connect multiple departments and multiple systems together. You're just not doing it for one particular area and that's where we become much more of a control tower as well as the full orchestration engine versus other vendors out there. So that's really where we see the exciting uptake and we keep on learning from it. And if you look at the innovation cycle, we brought in now a really large amount of new capabilities we've introduced over the last 6 to 12 months is just huge and it's very exciting for our customers and very differentiated versus all the random individual pieces of technology which are out there in the industry today.
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Gina Mastenuno43:58
And then on your question specifically on adoption, we talked about number of customers with agentic AI in production has grown 9x over the last nine months. So adoption is going well. On top of what we just talked about,
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Operator44:21
your next question comes from the line of Tyler Radkkey with City. Please go ahead.
T
Tyler Radkkey44:28
Thank you very much for the question and certainly the 200 basis point on CRPO is pretty impressive. We're getting some questions just on some of the mechanics and the full year guidance raise and I know there's some dynamics you called out in terms of Q2 to Q3 revenue recognition, but it seems like a very strong quarter. You're tracking ahead on AI, net new ACV, security business is firing on all cylinders. Just help us understand the relatively modest full year subscription revenue raise versus the Q2 outperformance. Is there more conservatism? You know, other dynamics we should be thinking about. Thank you.
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Gina Mastenuno45:13
Yeah. So, thanks so much for the question, Tyler. So, we talked about the fact that about half of the beat is a pull forward of on prem for a quarter. So that won't impact Q3 versus Q2. From a full year revenue guide, we passed along all of the net new ACV overachievement, but yes, I'm always looking, especially in this market environment, at a conservative, prudent guide. There's certainly upside. But we feel really good about the guide right now and we raised for all of the net new ACV overachievement in the quarter and are being prudent for back half as most would expect.
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Operator45:59
Your next question comes from the line of Matt Hedberg with RBC Capital Markets. Please go ahead.
M
Matt Hedberg46:07
Great. Thanks for taking my question. Bill, obviously a set of strong results here and I guess, with all the talk about enterprise AI readiness and mythos driving, increased cyber awareness that seems to be benefiting you guys, there is a concern from investors that buying cycles may start to elongate. I guess, with that being said, can you talk about any changes you saw or you might expect on deal cycles or decision-making? Obviously it seems like ServiceNow is a consolidation point when it comes to IT spending, but just any perspective on that would be helpful.
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William Mcdermott46:36
Oh, thank you for the question, Matt. So, think of it this way. The frontier companies out there are incredible. It's so exciting. The hyperscalers are incredible. They're so exciting. And what's really unique is we're in the midst of the AI revolution. So one has to then say, where is ServiceNow's place in this AI revolution? We're in the bullseye of it because the frontier models need to get activated in the enterprise. That's the battleground. And so whoever teams up with ServiceNow wins. And the reason for that is as Gina and Ahmed were discussing the 100 billion workflows and the nearly 8 trillion transactions that we have in flight right now. There's a lot of business processes that are running on the ServiceNow platform and what we did with the company with the CMDB you have to go to the beginning of the company we knew all the people we knew all the places we knew all the things and over time we integrated with all the systems of record so we're completely integrated with everything hyperscalers frontier models data lakes systems of record. So that workflow and how you automate that and the incredible power of AI going east to west and north to south without any clunky workarounds because these clunky systems that have been in the enterprise for six decades doesn't let AI do what AI was born to do. We let AI do what AI is born to do because of the data in that workflow automation platform. And if it's not in our platform, we've integrated into the other participants and we have connectors into all of them. So those connections let AI and the magnificent power of AI really go to work. The other thing that is so interesting right now, as you know, the attack surface is exploding. Every ungoverned asset and identity multiplies the blast radius of AI in the enterprise. So we had a leadership position in security and operations and we integrate with all these excellent security companies that are out there. These guys are my friends. But we did something a little different. We gave the customer that one command center where they had a full purview of their landscape and they had the threat areas very well known. Now with Vasa and Armis we are managing all the identities of the humans, the agents and the thinking machines and robots and now we're going after the critical infrastructure, the people, the networks and the devices with Armis. So the strategic relevance of ServiceNow is at the bullseye or the epicenter of the AI revolution in the enterprise. And so what you're seeing here is a company before your very eyes turning into both an enterprise software market leader and a cyber security market leader and the fastest growing at both. And that's pretty special. And so I think what you should take away from this is Methos was a gift to the ServiceNow company in the sense that everybody now is scrambling with all the exposure that they have to patch things up. But it's one thing to know where the threat area is. It's another thing to hunt it down, take action on it, and close the loop, which is what the ServiceNow platform enables you to do. End to end cyber security. And so I think it's just gotten very interesting right now. It shows in our numbers. You know, a lot of people are like, are seats going away? No, actually active seats are going up. Wow, what about the term of the contracts? They must be going down. No, they're actually elongating. And you see that in the CRPO and the RPO and oh by the way, the pricing. Oh, you must be doing something wrong on the pricing. No, actually we're giving the customer exactly what they want, the hybrid with the seat and the consumption, so they get a great ROI on their investment. So all these pieces are coming together. And then you say to yourself, you read the media headlines today and you're like, 'Wow, it's pretty cool that we have a kill switch for rogue AIs. For any company that's running ServiceNow and you get a rogue AI, there's a kill switch. It doesn't get through.' And then you think about how you use the right model and you hire it for the right job. And we do that, too. And people are realizing you don't need to take a Ferrari to mail a letter. So using the right technology for the right job and then managing the budgets, including all the tokens and the security of this has become pretty important. And so we're right now really seeing a new world order of things. And when one of the colleagues just asked a question about the AI and all that, I think this maneuver on what we did with the AI control tower and setting that new vision for the company for the future, I think cyber security will be bigger than ServiceNow is in the next few years. I think you'll be like, could you please talk to us about your workflow automation business and your core IT because all I hear you talking about is cyber.
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Operator52:24
Your next question comes from the line of Samad Samana with Jeff. Please go ahead.
S
Samad Samana52:31
Hi, good evening. Thanks for taking my question. So, just wanted to maybe triangulate. Sales and marketing headcount was up quite a bit quarter over quarter and you've already added more sales headcount in that line this year than all of last year. I'm just curious, is that a matter of timing? Is that some head coming in for the M&A or is that the company ramping up sales distribution ahead of this the revised pricing and packaging? Just trying to understand how we're thinking about sales distribution given the large head already and how we think about that for the rest of the year. Thank you so much.
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Gina Mastenuno53:04
Thanks so much for the question. So it's all three. So, a little bit is from M&A as we inherited some incredible sales associates and as Bill just talked about, security and risk really ramping. So we're certainly making sure that we're hiring ahead of that. We've always said and we've never stopped hiring quota bearing feet on the street sales execs and we will continue to do that. And you'll continue to see us do that. So yes, we feel bullish about back half as you would expect. You'll see more sales heads as a result. But yes, some of it is from M&A.
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William Mcdermott53:47
And may I say Samad, Gina laid it out there beautifully. We're a growth company and we're going to grow. We're going to grow fast. And the one thing I also wanted to reinforce as a commitment that we made as a management team to the capital markets, we will complete this year after having acquired three gorgeous companies, Move Works, Vasa, and Armis. We will complete this cycle of 2026 and start 2027 with the exact same headcount before we did the acquisitions. So you are going to see the operating margins and the free cash flow margins of this corporation scale and you already saw the three-point operating margin improvement in the quarter which was way beyond expectations. We are serious about growth. Growth on the top line, expanding the margin profile of the company and winning share everywhere we go in this AI revolution, especially cyber.
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Operator54:55
Your next question comes from the line of Brad Zelnik with Deutsch Bank. Please go ahead.
B
Brad Zelnik55:01
Great. Thanks so much for taking the question, Gina. I appreciate your gross margin guidance reflects more customers leveraging your hyperscaler partnerships and accelerating customer AI adoption which both seem like really good things but focusing on the AI side. How are you managing the tension between an increase in consumption mix and better token pricing going forward? And how should we think about the upside versus downside risk to gross margin from here? Thanks.
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Gina Mastenuno55:28
Thanks so much for the question Brad. So yes, both good reasons for a little bit of short-term pressure on margins. Notably, even though we had a little pressure on gross margin, we held the operating margin flat. But with respect to gross margin guidance, as we ramp and the increasing hyperscaler is that we're ramping quicker than planned, which is a very good thing. As we continue to ramp and more and more goes to hyperscalers, the cost per comes down. So we absolutely believe that midterm there will be less pressure and even better pricing on the hyperscaler side of things which I also talked about at FAD. The same thing with respect to AI consumption. And so if you remember at FAD, I talked about a little bit of short-term pressure, but that we absolutely think that mid and longer term, we have some opportunities to continue to increase. All of that being said, operating margins continue to increase. As Bill said, we will remain as disciplined as ever on driving not only best-in-class topline growth, but best-in-class margins well on our way to the rule of 60 by 2030.
A
Amit Severi56:44
If I can add Brad on the token, how we think about using large language models, I think clearly in the market and we've been talking about it for years that the large language models are getting commoditized, there's no reason for using the most expensive ones. So we're very smart about how we use and leverage some of these emerging technologies where you use open-weight versions, where we have our own, where we have domain specific ones, and where we use some of these high-end frontier models. A lot of these capabilities can keep on being swapped around and we really optimize across the board to ensure we're getting the best outcome while keeping the cost low. So our engineering team is really on top of it and our research team really does a lot of work in our labs to keep up with it and we work with many of them as well to optimize how this gets adopted. So we are not really worried about the margin impact as we keep on using more of these capabilities. Why? Because the way we price is really based on the solution versus individual tokens at the end of the day. So I think that should be how you should think about long term.
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Operator57:44
Your next question comes from Keith Bachmann with Please go ahead.
K
Keith Bachmann57:51
Hi, many thanks. Bill, I wanted to direct this to you if I could. You've talked quite a bit tonight about cyber and high aspirations for what you want to be as a cyber company, but maybe you could talk a little bit about revisit your strategy and aspirations as what the boundaries are. So, you have Vasa and Armis, which are intriguing assets, but there's a lot of areas where you don't play or don't participate. You've been in the SOC for a while in terms of a workflow engine, but how do you think about your future opportunities with cyber and related to that is there's ongoing convergence in cyber in observability with new competitors entering it from the cyber side. You've had some presence in observability, but as these markets converge between workflow, cyber and observability, how do you think about revisiting your strategy also on the observability side? That's it for me. Many thanks.
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William Mcdermott58:49
Yeah. No, no, appreciate it. Thank you very much, Keith. We're building the world's most integrated end-to-end security platform. I think that's the way you should think about it and think about us in the context of AI control tower. Think about us as the agentic front door to security 360. And of course, Vasa and Armis give us an enormous start on some of the areas we didn't have, but we already had a lot of areas and a very large security business. Now with the great engineering we have and the development commitment we have, I think we're just going to build so many great things. I talked about risk and compliance, which we already have. I talked about identity and access security, which we already have. I talked about cyber physical security which we already have. I talked about continuous vulnerability detection which Armis is the best at it. We're literally hunting the vulnerabilities not passively looking at them on a dashboard. Exposure management, agentic incident response, these are things that our platform does. So what I laid out today was an organic story. Now to the extent there might be other things we wish to do. I'll let Ahmed comment on some of the road mapping that we're doing. But I just want to give you great confidence that what we have right now is awesome and it's going to really rock the world. In fact, I'm actually so pumped up because we just had a couple of days of board meetings and I got to see the solution, the products that we have in flight and our great go to market leader Paul and all the work he's doing with the teams and how beautifully integrated they are in the company. You know, we're the rare company that actually brings companies in from the outside and puts their CEOs in charge of the business. And we did that with MoveWorks and now we did that with Armis and Yugnney running our security business as a corporation within the corporation and that's inclusive of Vasa. And so the alignment of our naturally born assets and then having these businesses run by people that are born in the security space. I mean you got to look at this hunger, this drive, this belief, this innovation roadmap the way I saw it and I think you would be as excited as I am. So Ahmed, do you want to add some color?
A
Amit Severi1:01:17
Yeah, no, Bill, I think you covered a lot of the ground in there. I think Keith, on general, if you look at the security and the cyber security space, we are basically covering the pre-breach with vulnerability management, exposure management. So we complete that story in terms of any device, any asset, any kind of agents and everything else across Vasa and Armis from that perspective. Then you have the post breach which we have been very strong at ServiceNow. We've been managing all of the things for SecOps across the life cycle or any breaches associated with cyber attacks and now we have runtime security as well. So bringing all of the pieces together into one platform and really that's the area we are playing in. There are always going to be a lot of other peripheral things in cyber security and the cyber security space is huge and we're not going to be in every area but where we have strength, where we have opportunity, and it builds on top of what we did with CMDB, what we did with approach breach stuff and now adding the AppSec as well as the pre-breach things for any kind of exposure and vulnerability for any devices and it is just really changes the game and creates a big platform. And second thing quickly on the observability, as you probably saw, we launched our AI ops specialist as part of AI ops products in ITM. So we already doing a lot of work with observability, bringing agentic kind of use cases into our platform. So we're not trying to build this observability ourselves, and then we integrate with all the other players which gives us signals and then you can make decisions and take actions and that's really the foundation around it and everything else we do in that ecosystem today.
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William Mcdermott1:02:44
And if I could, I just want to say, Keith, to my friends out there in the security business, great friends like Nicash and George and many others, they're still our great friends and they're our great partners and we run their solutions in our company, too. And we intend to continue to partner with them and make those partnerships even deeper because there's such a surface area and so much opportunity and Methos has opened up the floodgates. So, I think the new information from a shareholder value standpoint is we're in the party now and we're not out to replace all of those excellent companies. We're building our own story on our own great foundation and it's important that the customer gets the benefit of all of us because they're going to need it.
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Operator1:03:32
Your next question comes from the line of Greg Moscowitz with Missouo. Please go ahead.
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Greg Moscowitz1:03:39
Great, thank you for taking the question. Bill, maybe a follow-up to an earlier question if I may. All the commentary on this call sounds very favorable. But there have been a couple of recent indications from tech vendors that organizations have become more consumed with hardware and AI spending and that this is having a knock-on effect on other aspects of IT spend. So just to ask this directly, have you seen any impact to sales cycles with ServiceNow?
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William Mcdermott1:04:06
I have not. In fact, the key here, Greg, is this has really become a suite story. You have to recognize the breadth and depth of our portfolio. Having six unicorn businesses, a seventh on the way, by the way. So, when we go into 2027, I'll have seven unicorn businesses that are either a billion or multiple billions. Keep that in mind. So the breadth and the depth covers the surface area of many aspects of a corporation but it also covers the most important part of the corporation which is how do you run the business and the fact is with AI these customers don't have enough time to do it the old way. So many of them have such a fragmented enterprise that they need to take advantage of our workflow automation above the mess and click in that AI engine into this unbelievable platform and really begin running. So the higher you go in the suite, the more relevant we are and the more the suite realizes that we're in the bullseye of what has to happen to fundamentally be the control tower for reinventing these businesses. So I have not seen any change. If I've seen any change it's on the positive. And I will tell you, we're ready. And our business is rocking. And when I think about what we're going to do with the new businesses that we took advantage of at the end of last year and took some criticism for, it was because we believed in our strategy. We believe in our team. We believe in our customers and what they need. And now it's all about execution. And we're good at that. So what I see is a customer base waiting for us, plays that we're running to gain even more traction and a fantastic future for people that believe in ServiceNow.
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Operator1:06:10
We have time for one more question and that question comes from the line of Adam Wood with Morgan Stanley. Please go ahead.
A
Adam Wood1:06:18
Hey, thanks for squeezing me in. You mentioned in this call around the AI control tower and controlling the enterprise control plane for customers. Obviously that's a huge opportunity and a critical function but obviously also very competitive space. Could you talk a little bit about your right to win here? Is this going to be more a departmental battle where you have the strongest presence you need to win or can you go enterprisewide and then can you talk about any customers that are going down that road with you and kind of call out why they chosen you for that use case. Thank you.
A
Amit Severi1:06:47
Yeah, maybe Adam, I'll start to tell you about how we think about AI control tower. As Bill mentioned, our heritage has been the CMDB platform which tracks every kind of asset out there, hardware, software and other capabilities enterprises have. We build AI control tower with that kind of foundation where we would be able to discover anything an enterprise is running. Which includes now AI agents, any devices which are connected to it and it's very heterogeneous. It works across multiple domains. It's not really for ServiceNow assets but everything else. So we always been doing this open ecosystem discovery, management, life cycle tracking, cost management and observability around it. So it was very natural for us to get into this idea of AI agents being also monitored and managed across all the different landscape customers have and that has been very clearly resonating with our customers. We have more than 500 plus customers already live using AI control in the first 6 months when we launched this product and it continues to grow and we keep on adding more and more capabilities in terms of finding like Bill mentioned kill switch, how do you find errors or issues with any of the agent rogue agents running around and stop them from accessing any information or any data. With Vasa we added a lot more around identity governance and with Armis we are able to now take all the devices as well in their physical AI as well, so the breadth and the depth we have here is the reason why we have the right to win. We had the foundation and we build a solid product which is really working for our customers and we have tremendous amount of proof points where we are able to now really help customers to manage their whole AI landscape and really have control and a peace of mind and that's really where the foundation comes from.
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William Mcdermott1:08:25
And I would say running the business is what suite executives care about. How am I going to be a best-run business? And when you think about it that way, and you ask for some examples also, order to cash, procure to pay, design to build, hire to retire. We can go through all the business processes and CEOs know exactly what they are for their company. And they know they have to optimize them to ring margin points out of waste and gain future market opportunities like lead to cash as an example. So they're thinking big picture, they're thinking business processes. So in that context, we are enterprise participants in the transformation of these companies. And some examples would include a Fortune 50 healthcare and retail distributor. You know this company well, believe me, they're capturing millions in annualized savings by consolidating vendor risk governance and fraud detection across a thousand suppliers. They're using ServiceNow's AI control tower. Tech Mahindra, you'd recognize that pretty quickly, strengthening through a 5-year deal, by the way, to fundamentally transform the workflow processes across HR, IT, security, and they're going to govern their assets at mass scale with Agentic AI. Another one I love is Maybank, by the way, another five-year deal. So much for deal shortening, right? A leading financial institution. And what they're doing, I mean, this is Malaysia's largest bank. They're using the AI platform and control tower to establish a resilient operation center to fortify security and resilience as well as autonomous regional operations. NTDT data is one of my favorites, too. Since Paul and I were very involved in that, I'll tell you. They have a governance process with us to drive AI scale for all internal use globally and they're doing it on a single platform and they're looking at responsible innovation done with great visibility and the control tower accelerating AI adoption but also monitoring it, measuring it, making sure everything's done in real time the right way and you know Ahmed talked about kill switch. We're doing many other things. So, I hope that gives you a little feel for it. Adam.
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Operator1:11:01
and I'll now turn it back over to Darren for closing comments.
D
Darren Yip1:11:05
Thank you all for joining. We look forward to talking to you next quarter. Take care.
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Operator1:11:09
Ladies and gentlemen, this does conclude today's conference call. Thank you all for your participation. And you may now disconnect.