The Motley Fool’s “One Top AI Agent Stock” pitch leads to Datadog, and in this case the reveal is a genuinely excellent business. That is worth saying plainly, because most newsletter teases hide the name of a mediocre company. The problem with Datadog is not the quality of the franchise. It is the price you are asked to pay for it. Here is the business, the numbers, and the valuation that the ad never mentions. We walk through the specifics in our DDOG Stock: What Investors Need to Know piece.
What Datadog Does
Datadog (DDOG) is a New York based observability and security platform. In plain terms, it sells software that watches other software. When a company runs applications across the cloud, those applications generate a constant stream of telemetry: metrics, logs, and traces. Datadog collects all of it, analyzes it, and tells engineers when something is slow, broken, or under attack.
That may sound like plumbing, but it is the kind of plumbing every modern software company cannot operate without. As applications have grown from single servers to thousands of distributed services, the volume of telemetry has exploded, and the ability to make sense of it has become its own business. Datadog is one of the leaders of that business, alongside Dynatrace, New Relic, and Splunk under Cisco, plus a cluster of cloud-native and open-source tools.
The Quality of the Business
The fundamentals are unusually strong. Datadog grew revenue more than 35% year over year to about $1.12 billion in its most recent quarter, and its dollar-based net retention runs above 120%. That retention number is the important one. It means existing customers, on average, spend more each year than the year before, which is the signature of a sticky, expanding product. Companies do not just keep Datadog; they buy more of it over time.
The balance sheet is equally clean, with roughly $5 billion of net cash. The company funds itself, it is profitable on a non-GAAP basis, and its gross margins sit in the high 70s. This is not a speculative story stock. It is a durable software franchise with real revenue and real retention.
Where the AI Agent Story Fits
The Fool’s pitch argues that AI is entering a third wave: first hardware, then software, and now agents. Agents are software that takes actions, not just answers questions, and every action spins up more telemetry that has to be watched. Datadog says it is trusted by more than 750 AI companies, including all of the top 10 AI leaders.
The direction of that thesis is sound. AI applications fail in ways that are hard to debug, and tracing a model’s behavior from prompt to output requires exactly the kind of telemetry Datadog collects. If anything, observability is more necessary for AI workloads than for traditional ones. The mechanism is real; the question is what you pay for it.
The Valuation Problem
This is where the ad goes quiet, and it is the entire ballgame. At a roughly $100.8 billion market cap, Datadog trades around 20 times revenue, more than 100 times forward earnings, and about 85 times expected 2028 earnings. Those are the multiples of a company whose future growth and margin expansion the market has already priced in years ahead of time.
A business growing 35% a year can justify a premium, but 20 times sales leaves almost no room for error. If growth decelerates toward the mid-20s, the multiple tends to compress, and a stock at 20 times sales can fall a long way even while the underlying business keeps performing. The tease price itself, $278.24, sits less than 1% below the October 27 close of $280.82, which tells you there is no information edge being handed to you. The crowd is already in.
The Bottom Line
Datadog is a genuinely excellent company and the AI observability thesis is directionally right. For the full breakdown of how the pitch frames the opportunity and where the math gets stretched, see our AI agent stock teardown. The honest summary is this: a great business at a demanding price is still a demanding price. Wait for a pullback and buy on weakness rather than chasing the reveal. For context on the software category more broadly, our best AI stocks piece is a useful companion.
The Multi-Product Engine
The thing that makes Datadog’s retention number so sticky is its multi-product design. The company started with infrastructure monitoring, then expanded into application performance monitoring, then log management, and more recently security and cloud-cost tools. Each new product is a reason for an existing customer to spend more, which is why dollar-based net retention stays above 120%: the average customer keeps buying additional modules long after the initial sale. That land-and-expand engine is the quiet driver of the business, and it is more durable than any single AI trend. It also means the AI agent story is not really a new company, it is one more module in a platform that has been cross-selling for years. The tailwind is real, but it is layered on top of an already proven growth machine, not a pivot into something new.
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