ServiceNow - the conductor of the AI revolution

Recently, whenever the “man in the leather jacket,” i.e., NVIDIA CEO Jensen Huang, has highlighted trending companies, the returns on those stocks have been outrageous. Most recently, he was hyping up ServiceNow.

So, what does the company’s future look like in the midst of the AI revolution? If Huang is to be believed, it looks bright. Or is it different this time, and is Huang’s vision wrong? Let’s start, however, with what problem the company actually solves in the world.

History

ServiceNow was founded in California, USA, by Fred Luddy in 2003. At that time, however, the company went by the name Glidesoft Inc. until 2006. For the first couple of years, founder Fred Luddy was actually the sole employee, and it wasn’t until 2005 that the first five employees were hired. By 2007, ServiceNow had already turned its business cash flow positive with a revenue of $13 million.

ServiceNow went public in 2012 with a valuation of $210 million, when the previous year’s revenue was just under $100 million.

The milestones of the current decade have been significant partnerships. In 2023, the company announced it would begin collaborating with NVIDIA to integrate AI services into enterprise support software. In early 2026, partnerships were further announced with Anthropic and OpenAI. The goal is to bring their Large Language Models (LLMs) into ServiceNow’s AI platform.

Coming to the present day, the company’s revenue has grown to $13 billion, and the operating profit for last year was over $4 billion. At its peak, the market capitalization hit $230 billion but has now dropped to $93 billion.

Business

All larger companies have a need to streamline processes, and even a small time saving accumulates quickly into a significant financial saving if the processes are repeated numerous times daily. ServiceNow has built a platform intended not just to store data or process tickets, but to model and automate these constantly recurring tasks: approvals, support requests, solution automation, etc. In practice, the platform helps companies manage everything from IT support to HR processes.

Today, however, the business is also strongly linked to AI, and ServiceNow is considered a kind of “coordination layer” between AI agents and enterprise systems. Artificial intelligence vastly increases the number of automatable processes, but in addition to AI, companies also need an audit trail, compliance logic, integrations with legacy systems, and workflow orchestration. So, while many AI startups might be able to create a chatbot, an AI agent, or a Co-pilot-style UI, this is not yet enough for the large-scale utilization of AI in larger corporations.

Valuation

In the spring of 2026, the stock has been hit hard, similar to other software and SaaS companies. It has come down about 62% from its peaks, meaning the stock is hovering around $90 USD, whereas just over a year ago, investors were paying upwards of $230 USD at the highest. The 2024 multiples were truly in the range of EV/S 20x, P/E 155x, EV/EBIT 66x, and FCF yield 1.6%, meaning a lot of good news was priced in. Since then, AI disruption fears have weighed down the entire sector, but the core question for ServiceNow is whether a company that actually benefits from the AI revolution has been thrown out with the bathwater.

At the current price, the valuation looks considerably more reasonable than it did a couple of years ago. Based on last year’s earnings, the P/E is around 53x. EV/S has dropped to approximately 6.5x, which is nearly a 60% discount compared to its historical median. The Forward P/E is now only about 20x, the PEG ratio is under one at 0.81, and EV/FCF is around 19x. Thus, the current valuation is no longer outrageously expensive, at least, but it certainly requires earnings growth to remain strong.

Outlook

The momentum has continued to be quite strong, as Q1 2026 subscription revenues grew 22% year-over-year to $3.67 billion, once again exceeding the upper limit of their own guidance. Nearly 40% more new contracts worth over a million dollars were generated in Q4 2025 than a year earlier, and the group of customers with over $5 million in ACV (Annual Contract Value) grew by about 20%.

The traction of AI products has also started to show concretely. The Now Assist AI package is on track for $1.5 billion in annual ACV in 2026, which is 50% higher than the original target. Now Assist contracts worth over a million dollars were signed in Q1 at a rate over 130% higher than a year earlier.

Guidance for full-year 2026 subscription revenues is $15.5–15.6 billion, meaning growth is still expected to be around 20–21%. Additionally, cash flow is strong, and the board authorized an additional $5 billion share buyback program. On the other hand, in typical US company fashion, stock-based compensation is quite generous, which would dilute shareholders if shares were not also being bought back simultaneously.

Risks

Of course, it’s not all sunshine and rainbows. Firstly, AI disruption could hit ServiceNow itself. If future AI agents are capable of replacing workflows without a separate orchestration platform, ServiceNow’s role as a coordination layer will diminish, but at least for now, the trend has been the opposite.

Secondly, competition is intensifying. Salesforce, Microsoft, and numerous smaller AI-native startups are all targeting the same enterprise budgets. ServiceNow’s advantage is its deep integration into customers’ IT ecosystems and long-term contracts, but the competitive pressure is real.

In any case, as things stand, AI is more likely to increase the need for managed automation. We’ll have to wait and see if Huang is right with his vision this time as well. I don’t own ServiceNow yet, but I’ve at least added it to my watchlist.

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Here is a tweet about ServiceNow stock purchases by some interesting parties. :slight_smile:

https://x.com/tradewithcong/status/2057079139790983316


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Take these with a grain of salt.

It seems many politicians have their investments managed through discretionary mandates (täyden valtakirjan salkku), meaning the owners have no knowledge of where the money is being invested.

The trades look like large blocks bought by an algorithm and then split across various client accounts.

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Good opening. I have owned ServiceNow for a little over a quarter, and for my part, there is still a lot of research to be done so that my knowledge of the company is at a high enough level to truly understand what I own. Recently, many forum members seem to have bought the stock, so hopefully we can get some active discussion and new perspectives going.

Regarding forward-looking and cash-flow-based valuation multiples, it’s worth noting that they do not include stock-based compensation (SBC), which last year was slightly more than the company’s GAAP net income. In contrast, these have been deducted from the earnings in the trailing figures. This year, earnings are expected to grow by about 20 percent. Although this does not directly affect cash, it is a real expense, as to avoid dilution, ServiceNow buys back its own shares for cancellation in an amount corresponding to the stock awards.

Below is a link to a message I wrote in early February about my ServiceNow purchases.

And finally, three YouTube videos I think are good for those interested in the company. The first is possibly the most comprehensive video-format company analysis of ServiceNow I’ve found online, published by Drew Cohen in February.

The second and third videos discuss the Q1 results and future outlook. Liam Hyland goes through what he considers the most significant points of the interim report and creates a list of key metrics to track in future reports. In the third video, Brian Stoffel presents a more bearish perspective. In the first quarter, earnings growth was slower than revenue growth, and specifically, customer acquisition costs grew (+44%) at double the rate of revenue (+22%).

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IT services company Cognizant & ServiceNow are joining forces to help companies with AI oversight.

The companies are launching a joint management tool that automatically monitors AI systems in real-time to ensure they comply with legal regulations, such as the European Union’s AI Act.

The goal is reportedly to make the responsible and safe use of AI easier at an even larger scale.

“The market has solved AI access. What enterprises now need is the ability to operate AI responsibly at the scale and speed their businesses demand,” said Sriram Kumaresan, Global Head of Cloud and Infrastructure Services at Cognizant.

https://www.investing.com/news/assorted/cognizant-partners-with-servicenow-on-ai-governance-platform-integration-432SI-4727292

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