Enes Uludağ
US Equity & Global Macro Analysis, Financial Statements & Sector Research
Datadog's growth is slowing just as its valuation demands acceleration. Q2 beat on every major metric, with revenue up 36% to $1.12 billion and full-year guidance raised to $4.46 billion, yet Q3 guidance implies about 29% growth, new 100K+ ARR customers slowed to 170, and FCF margin fell from 28.7% to 24.9%. The AI story leans on OpenAI as its biggest customer, and the chance OpenAI builds more of its own observability remains an overhang. x.com
Datadog is a first-class business whose AI tailwind reaches all observability, not just AI-native customers, though the price is second-class. Q1 revenue rose 32% to its first $1B quarter, with RPO up 51%, a 29% FCF margin and net retention re-accelerating into the low 120s; non-AI customers grew mid-20s% as AI drives more code. Vendor-agnostic multi-cloud coverage is a moat. At about 19x forward sales and 95x forward P/E, it needs retention above 115% or the multiple compresses. x.com
Datadog's multiple, not its earnings, is the problem: at a P/E in the 600s, it only works if growth keeps accelerating for the next eight quarters. x.com x.com
Datadog fell 20% despite beating earnings because at a 550 P/E it trades like a meme stock, and buying at such valuations risks losing everything. x.com
The more AI the world builds, the more data flows through Datadog. Revenue growth re-accelerated to 32% from 28%, the rarest signal in software in 2026. As the single pane of glass for cloud infrastructure, it monitors AI workloads that generate 10-100x more telemetry, with OpenAI, Anthropic and AWS using it for GPU clusters, token costs and model latency. AI-native revenue is about 12% of the total and growing triple digits, and expected revenue CAGR is 22%. x.com
Datadog's valuation looks extremely stretched at 17x next-twelve-month revenue after jumping 30% on its May 7 earnings and grinding up another 30% since from a much larger base. Even with the risk case off the table for now, as a reply notes, the move is still dumb. x.com x.com
Datadog faces a tough setup into its print at 25x sales, a valuation that demands a big beat and raise. It will probably beat and the chart is decent, but the setup remains tough even as BofA calls it a top pick into Q2 with a $305 target. x.com x.com
Datadog's 15% drop on slower Q3 guidance looks like a buying opportunity, with the long-term thesis intact. Revenue rose 36% to $1.1 billion, but its largest AI customer renewed a nine-figure contract while cutting usage, showing the downside of consumption pricing and one frontier AI account's weight on growth. The broader business keeps strengthening: non-AI revenue is accelerating into the high-20% range, enterprise bookings more than doubled and customers are adopting more of the platform. … Show more
Datadog's premium valuation guards a habit rather than a bottleneck, so strength is worth fading. It earns a 1% operating margin and trades at 553x trailing earnings and 21x sales, pricing its 32% growth as scarce and permanent. Yet observability is exactly the workflow AI agents now absorb and hyperscalers bundle in for free. That is moat pricing on a story, the inverse of a bottleneck. x.com
Combining estimated NTM revenue growth with trailing GAAP EBITDA margin makes Palo Alto Networks, Datadog, JFrog, Rubrik and Snowflake look overvalued against forward EV/sales. Zoom, Alphabet, Oracle, AppLovin, Microsoft, Fair Isaac, Adobe, Amazon and Teradata remain undervalued on this Rule of 40 comparison; Palantir, Cloudflare and CrowdStrike remain overvalued. x.com
Datadog's AI observability demand is starting to show up in its numbers. It posted its first $1B quarter with revenue growth accelerating to 32%. The stock has been forming a base for more than four years, and the bigger the base, the higher the potential move. x.com
Datadog looks expensive against AI software peers on growth-adjusted valuation. Across the group, every 10 points of extra growth commands roughly 5-7x more EV/sales; Snowflake, MongoDB, ServiceNow, Dynatrace, HubSpot and Salesforce track that trendline reasonably well, while Datadog sits above it. x.com
