Key Stats for Datadog Stock
- Current Price: $260.78
- Target Price (Mid): ~$650
- Street Target: ~$284
- Potential Total Return: ~148%
- Annualized IRR: ~23% / year
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What Happened?
Datadog (DDOG) beat on revenue, beat on earnings, and raised its full-year guidance on August 6. The stock fell almost 17% anyway, closing near $234 in its steepest single-day drop in years. By August 10, it had clawed back a little over half of the dollars lost, closing at $260.78, up 11.48% as analysts lifted their targets, though still below its pre-earnings level.
The selloff was never really about the print. It was about one customer. Datadog disclosed that its largest client is reducing usage starting in Q3, and management chose to strip that spending out of guidance entirely. The market’s first instinct was to sell the overhang. Its second was to notice that everything else in the business is accelerating.
Why One Customer Sent a Beat Down 17%
Q2 revenue was $1.12 billion, up 36% year over year, above the high end of guidance. Free cash flow was $279 million, a 25% margin. Customers spending $100,000 or more annually rose to about 4,720 from roughly 3,850 a year ago. None of that is a disappointing quarter.
What spooked investors was the Q3 guide of $1.135 billion to $1.145 billion, implying 28% to 29% growth, a step down from the 36% just delivered. The reason sits inside the largest customer, widely reported to be OpenAI, though Datadog identifies it only as “a leading AI company.” CEO Olivier Pomel said Datadog “did chose to fully derisk our largest customer,” pulling that revenue out of the forward numbers rather than modeling a gradual decline. A guide that visibly decelerates is exactly what a stock priced for perfection punishes first and interrogates later.
Pomel pushed the interrogation himself. “If you back out our largest customer from our growth, you get pretty much the same growth rate,” he said, pointing to five straight quarters of acceleration everywhere else. That is the debate in one line: the headline number decelerates, and the underlying business does not.

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The Number That Matters Is the One Without the Big Customer
Non-AI customer revenue growth accelerated to the high 20s percent year over year, up from the mid-20s last quarter and 18% a year ago. Enterprise new-logo bookings more than doubled from a year ago, and newer customers are ramping faster: about 30% of year-over-year growth now comes from customers landed in the past year, up from 25% last quarter. Platform adoption compounds it, with 58% of customers now using four or more products, up from 52% a year ago.
Datadog signed a multiyear deal worth more than $30 million in total contract value with one of the world’s largest online media companies, displacing four commercial and internal tools, and landed 7-figure deals with two AI labs training models, a use case Pomel noted “was not really a business area for us a couple of years ago.” Seen against that, the usage cut looks less like a crack and more like a concentration risk resolving itself. Pomel called the renewal one with “a lot of continuity,” and the account still runs 17 Datadog products.
Priced Far Above the Peers It Competes With
At $260.78, Datadog trades at about 71 times forward EV/EBITDA and roughly 18 times forward revenue. That is expensive against the observability peers it competes with directly: Dynatrace sits near 18 times forward EBITDA, and Elastic near 19 times, a fraction of Datadog’s multiple, while Palo Alto Networks trades around 64 times, and the peer-group mean is closer to 39 times. Only CrowdStrike, near 119 times, carries a richer multiple.
The premium is real and not automatically justified. What supports it is growth: Datadog compounds revenue in the mid-30s percent at a 79.6% gross margin and converts a quarter of revenue to free cash flow, a profile that most of its peer set cannot match. Whether it can carry this much is the open question, and it is why a soft-looking guide moves the stock 17% in a session. The Street has kept revising up regardless. Following the print, targets clustered in the high $200s to low $300s, with Cantor Fitzgerald raising its target to $327 at the high end. TIKR’s consensus mean sits around $284, still below the freshest targets, a gap that reflects how fast revisions have outrun the average. Sentiment stands at 31 Buy, 10 Outperform, 3 Hold, 1 Underperform, and 1 Sell.

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TIKR Advanced Model Analysis
- Current Price: $260.78
- Target Price (Mid): ~$650
- Potential Total Return: ~148%
- Annualized IRR: ~23% / year

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TIKR’s mid-case model values Datadog at around $650 by the end of 2030, implying roughly 148% total return, or about 23% annualized over the next 4.4 years. This is a scenario built on stated assumptions, not a promise.
- Two revenue drivers: continued platform consolidation, the 58%-and-rising share of customers on four or more products that lifts spend without new logos; and the AI observability layer, where MCP tool-call volume quadrupled again quarter over quarter, and Datadog now serves all ten of the largest AI companies.
- Margin driver: operating leverage, with operating margin reaching 23% this quarter, up from 20% a year ago.
- Primary risk: the mirror image of the growth story. If AI-native usage normalizes faster than the broader base can offset, both the growth rate and the multiple compress together, and at 71 times EBITDA, there is little cushion.
- Upside: non-AI acceleration and platform adoption prove durable, and the AI layer scales into a second engine.
- Downside: this quarter’s guide marks the start of deceleration; the current multiple cannot absorb.
Conclusion
The next read is Q3 earnings, expected November 5, and the single number that matters is revenue growth excluding the largest customer. Hold in the high 20s or better, and the usage cut was concentration risk clearing out, with the August selloff as noise. Slip toward the low 20s and the soft guide was the first sign of real deceleration, with the multiple further to fall. Everything else, the platform metrics, the AI wins, the target hikes, is context around that one line.
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Should You Invest in Datadog?
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Disclaimer:
Please note that the articles on TIKR are not intended to serve as investment or financial advice from TIKR or our content team, nor are they recommendations to buy or sell any stocks. We create our content based on TIKR Terminal’s investment data and analysts’ estimates. Our analysis might not include recent company news or important updates. TIKR has no position in any stocks mentioned. Thank you for reading, and happy investing!