Investors are split on Datadog after a large AI account scaled back usage, sending the stock down 22 percent in a month to about $210 while cloud peers such as CoreWeave and Oracle rallied double digits.
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Datadog slides 22% in a month as AI customer trims usage
Datadog shares fell 22 percent over the past month to $210.76 after a large AI customer trimmed platform usage, a company-specific reset that left cloud peers trading higher.
Analysts still rate the stock a Buy, with an average price target of $284.12, implying roughly 35 percent upside from current levels, according to consensus data compiled over the past month. The range runs from a low of $158 to a high of $330.
The decline traces to Aug. 6, when Datadog fell 19 percent after reporting second-quarter results that beat on revenue and earnings and raised its full-year outlook. Management disclosed that a very large AI customer would reduce usage and folded that reduction into third-quarter and full-year guidance, implying revenue growth slowing to 28 percent to 29 percent year over year in the third quarter from 36 percent in the second.
The divergence from peers frames the debate. The First Trust Cloud Computing ETF gained 11 percent to $159.37 over the past month, while CoreWeave rose 14 percent and Oracle climbed 13 percent; Cloudflare slipped 3 percent. That pattern rules out sector rotation or a broad software derating as the cause and isolates the move to Datadog itself.
None of the second-quarter numbers were the problem in isolation. Datadog beat on both lines, raised its outlook and gave constructive commentary on non-AI customer growth. What snapped the multiple was a single disclosure about customer usage and what it implied about the shape of forward growth.
The stock trades at roughly 89 times forward earnings, a premium that leaves little room for error when the growth rate itself is slowing. Free cash flow margins narrowed to 25 percent from 29 percent as spending on AI initiatives rose, adding to the pressure on a name judged on growth rate. Customer concentration was a latent risk this quarter exposed rather than resolved, and a usage-based consumption model is inherently sensitive to one large account scaling back.
Buy the Dip or Trim Into Strength
The case for staying long rests on fundamentals. Datadog beat on both lines and raised its outlook in the second quarter, and the drawdown looks more like a multiple reset than a break in the business. If the customer usage issue proves a one-off and non-AI growth holds where management described it, the setup from current levels skews favorable.
The case for trimming rests on structure. A stock repriced on customer concentration and slowing growth can stay repriced for longer than bulls want, and the shares remain up roughly 65 percent year to date through Tuesday's close, leaving a thick cushion of prior gains to trim into.
Investors should size a Datadog position to how much single-customer risk they can tolerate rather than confidence in the platform roadmap. Trimming into a bounce and adding on further weakness are both defensible; leaning heavier than conviction supports is not.
Shareholders can watch whether the stock stabilizes near current levels and how management frames customer concentration on the next call. Traders should track whether the cloud rally broadens back into observability names or stays concentrated in infrastructure, with Snowflake's fiscal second-quarter report due after the close Sept. 2 a potential reset for the software group.
This article is for informational purposes only and does not constitute investment advice.
