"The Super Intelligence Control Tower actually takes the right model, it hires it for the right job to solve the right problem, to unlock the real opportunities that companies have out there. So we're unlocking the value from the entire super intelligence ecosystem. From silicon to intelligence. And we're executing this on one platform."
Bill McDermott joined CNBC to share his observations from Q3 2026. Listen to the $NOW earnings call replay for more: https://lnkd.in/e9iYGR9g
The enterprise software segment
faced a big test tonight after the close, when ServiceNow
turned it���s results for the third quarter. Look, ever since it bottomed to $81
and change this past spring, this stock has been leading the group's
comeback, climbing nearly in a straight line to over
$150 today at close. Tonight, the company turned in result that was strong. All right, not perfect, but strong. Company's revenue results look good as it is
booking numbers, which is what I care about,
that's encouraging. On the other hand, it missed by $0.02 on the bottom line, cash flows for the quarter were considered a bit light. Guidance was similarly mixed,
but we got to get to the bottom of that. Is it enough to keep the stock in rally mode? Let's go straight to the source
with Bill McDermott, the Chairman and CEO of ServiceNow. Mr. McDermott, welcome back to Mad Money. Thank you, Jim. Great to be back with you. All right, so Bill
there's a ton to go over here. But first I want to give you some credit. You came on the show
when the stock was at $104. And you were very loud. You bought $3 million dollars of stock. You were making a statement, and the statement was,
this is getting ridiculous. How did you know that it was overdone
and that the whatever it was on Wall Street had disconnected
from the fundamentals of ServiceNow. Jim, this is a unicorn growth company. You know, think about Fortune 500 economics with a Super Intelligence Control Tower, that's literally reinventing businesses all over the world. So I knew the exceptional super intelligent
economics. Where you have a capital light, margin
rich, consumption driven company, that's really providing AI value
without all of the big cost items, like chips, and CapEx, and data centers. We just have a margin profile
that's perfect. And a growth company
operating at the rule of 57. When you add up free cash flow and margin
growth, it's the only company I'm aware of that's doing that
in the enterprise software world. Well, that is true. And now Armis, which you bought for 7 billion. To sum it was a head scratcher. Why is this man moving into cyber
security? In retrospect, I think people now call ServiceNow
because they don't know what to do. Everybody's scared, and I think that you've got the right property to be able to help. Jim, you said it right. The Super Intelligence Control Tower
actually takes the right model, it hires it for the right job
to solve the right problem, to unlock the real opportunities
that companies have out there. So we're unlocking the value
from the entire super intelligence ecosystem. From silicon to intelligence. And we're executing this on one platform. So you and I spent a lot of time
with my good friend, our good friend, Jensen at NVIDIA, Think about AI governance
that takes software all the way through to the silicon. And it's an industry first of its kind. So you have a long running personal
AI agent at ServiceNow. It gets better with every interaction. It has runtime enforcement. So ServiceNow sets the rules and rails, NVIDIA OpenShell enforces them at runtime. So we have a kill switch, that can revoke the passport for a person, an agent, or a robot, and block the action at the point of execution,
not after damage is done. And that's what everybody wants. They want a secure Super Intelligence Control Tower to run their business and drive profits for their shareholders. And that's what we're giving them. But why do some of these people
in these frontier models say that there is no such thing
as a kill switch? Are they just wrong? Well, they're looking at it a little bit differently. I'm looking at the enterprise software
world, and I think that's why OpenAI today announced a major partnership
with ServiceNow, because they all want to turn frontier intelligence
into governed and enterprise execution. So if you think about
the Super Intelligence Control Tower, we���re using OpenAI Voice now, ChatGPT, to simplify AI risk assessment. And we have something we call Shift Zero, where you���re stopping threats
before they become incidents. And, if you think about builders out there with Codex, they're now going to run it
through ServiceNow with rules and rails. And that's the same announcement
we made with Google, and several other great companies today like Anthropic, AWS, Cisco, OpenAI, of course,
Stripe, NVIDIA and many others. And that is what's missing, Jim. One control tower that connects your
people, your agents, all your lab models, because they're all great companies. It unifies your data. It integrates with a complex infrastructure and enterprises,
and it gets you to value fast. Customers want value now,
and they don't want a proof of concept. They're tired of the stories, and they're tired of laying out money
without getting a return. I am absolutely sure that is the case. But I also have to deal with what we see
on the on the tape, so to speak. And we know the tapes wrong a lot, because it's been wrong a lot when we when we come to ServiceNow. But people are saying, listen,
there are estimates out there, it missed the earnings estimates by $0.02. They're not looking at the revenue growth,
which was really strong. The RPO, which is terrific. And what we look at growth and margin. They're saying no he missed by $0.02. And that's just not excusable
with this high market. Well, let me offset that a little bit. First of all, the $0.02 has to do with the interest on the companies we just bought,
and the companies we just bought that impacts EPS. But we now, in this quarter,
and we just bought them in April, announced a 150 basis point improvement
in operating margin. We have free cash flow at 36%, and we have our revenue in RPO. And everyone said you'll have shorter duration contracts
and they'll be lower in value. Actually, just the opposite happened. Our RPO is growing now to $30 billion at 23%, and our sub revenues at 21%. That's operating at 57 company. 21 plus 36 is 57. And I told the markets will be 60 soon
meaning operating at the rule of 60. So $0.02 is interest expense on $5 billion because we chose to allocate the capital to debt because we generate
so much free cash flow. But in one snapshot, yes, EPS $1.02 was an expectation versus $1. And everybody knows in software that's the
least important measurement at the time. And Jim, I got to tell you, what other company can say that they're growing the way
we are with no compute constraint, no memory constraint,
no data center build out constraint, just pure free cash flow, operating
margin and revenue growth. What other one? Not a single one. So shareholders, I gave you my word. Back, as you said, Jim, early in the year, and the story���s only gotten a lot stronger now. Do you know, we are growing
our consumption on this hockey stick of tokens I have out there, 13x year over year, 500% month over month. So as you see these revenues, just remember, I've got tokens out there on the street with ServiceNow, that we're getting these customers
live faster and as they get live, and they go through their first tranche
of consumption, they will renew that. And that will be a hockey stick formation
that is unlike any other in the enterprise. So, I would just say
this is a great quarter, Jim. All right, well, that's we're going to leave it
because I think that people have to digest that and say maybe,
maybe they're looking at this, I thought you explained the $0.02
very well. They should be looking at the things
that you and I know what really matter, which is RPO, revenue growth, new
customers, all those going your way. Bill McDermott, Chairman
and CEO of ServiceNow. Bill, thank you for coming on the show. Thanks a lot, Jim. I appreciate it.�� Mad Money is back after the break.
Hiring the right model for the right job is a line we will remember from this Q3 conversation. The Super Intelligence Control Tower framing treats model choice as an operating decision, with governance and accountability attached, rather than a one time selection. That resonates with us, because enterprise AI works when orchestration stays visible. Bill McDermott put it in plain language, and plain language helps adoption.
Hiring the right model for the right job assumes someone wrote the job description. That's usually the part enterprises skip.