Key Stats for Datadog Stock
- Current Price: $232.55
- Target Price (Mid): ~$743
- Street Target: ~$285
- Potential Total Return: ~220%
- Annualized IRR: ~31% / year
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What Happened?
Datadog (DDOG) did almost everything right in its second quarter and lost nearly a fifth of its market value anyway. The company reported revenue of $1.12 billion on August 6, up 35.64% year over year, beating the Street’s $1.08 billion. Adjusted earnings came in at $0.65 against a $0.58 estimate. Management raised full-year revenue guidance to a range of $4.45 billion to $4.47 billion. The stock closed down 19.03% that day.
The reason sits in one sentence from the earnings call: the largest customer cut its usage. That disclosure turned a beat-and-raise into the stock’s worst session in months, and it left a sharper question than usual. Did the market overreact to a routine consumption wobble, or get a first look at how much of Datadog’s growth leans on a handful of AI accounts?
The Beat Was Real and the Guidance Still Went Up
Sequential revenue growth of 11.43% was the fastest in several years. Free cash flow reached $278.70 million, a 25% margin. Every headline line beat consensus: EBITDA by around 6%, EBIT by around 10%, adjusted EPS by around 11%.
Third-quarter revenue guidance of $1.135 billion to $1.145 billion implies growth decelerating to roughly 28% to 29%, down from 36%. CFO David Obstler was explicit: “Regarding our largest customer, we have seen a usage reduction, which is incorporated in our Q3 and full year 2026 guidance,” adding that the company chose to fully de-risk that account. The customer renewed a nine-figure contract but committed to less consumption. Analysts and press reports identified the account as OpenAI, though Datadog did not name it or quantify the reduction. Because Datadog charges by usage, a renewed logo does not guarantee renewed revenue, and one account pulling back was enough to bend the growth curve.
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Why the Rest of the Business Argues the Other Way
Excluding the largest customer, CEO Olivier Pomel said the business is growing at the same rate and still accelerating. Revenue from non-AI customers grew in the high 20s percent year over year, up from the mid-20s last quarter and 18% a year ago. That cohort is the enterprise base of banks, insurers, and industrials, the accounts that do not spike or vanish.
Obstler’s framing at the Canaccord Genuity Growth Conference on August 12 answers the concentration fear directly. “Our cohorts are very, very long, meaning our cohorts signed 5 years ago are still expanding,” he said, with net retention holding in the low 120s. Datadog also monetizes by workload, not by seat, so the shift toward AI agents does not erode the model. As Obstler put it, “it really doesn’t matter if those workloads are created or looked at by agents versus not,” because someone still has to observe and secure them.
What the Premium Multiple Demands
Datadog trades at around 63 times NTM EV/EBITDA and roughly 88 times forward earnings. Against a software peer set including Microsoft, Palo Alto Networks, CrowdStrike, Fortinet, Zscaler, and Dynatrace, the mean sits near 35 times EBITDA and 51 times forward earnings. Datadog carries a clear premium on both. Dynatrace, the closest comparison, trades under 18 times EBITDA; only CrowdStrike, near 100 times, is more expensive.
Datadog grows faster than most of the group and converts more revenue to cash, which supports paying up. But a premium multiple leaves no room for error, and Q2 was the market pricing exactly that: a growth stock that decelerates gives back multiple and earnings at once. The Street’s mean target near $285 sits above today’s $232.55, but well below the pre-print level, a sign that consensus is recalibrating rather than capitulating. Coverage stands at 31 Buys, 10 Outperforms, 3 Holds, 1 Underperform, and 1 Sell.
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TIKR Advanced Model Analysis
- Current Price: $232.55
- Target Price (Mid): ~$743
- Potential Total Return: ~220%
- Annualized IRR: ~31% / year
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The mid-case scenario values Datadog at around $743 by December 2030, a total return near 220%, or roughly 31% annualized. Two revenue drivers carry it: continued platform expansion within the enterprise base, where net retention holds in the low 120s, and adoption across the AI-native cohort, now more than 750 customers, including all ten of the largest AI companies. The margin driver is operating leverage, with the model assuming net income margin climbs toward the high 20s by 2030, well above today’s level, as revenue scales past the current cost base.
The primary risk is the one the quarter exposed. Usage-based revenue concentrated in a few large AI accounts can move faster than management can offset, and a premium multiple punishes that swing twice. The upside case is that the non-AI base keeps accelerating, and the largest customer cut proves a one-time reset. The downside case is that AI usage normalizes across several accounts at once, deceleration compounds, and the multiple compresses toward the peer mean.
Conclusion
The number to watch is the Q3 print, expected in early November, and specifically the non-AI growth rate. Management guided Q3 to roughly 28% to 29% total growth, with the largest customer cut already baked in. If the non-AI cohort holds in the high 20s or reaccelerates, the selloff looks like an overreaction to one account, and the de-risked guide becomes a low bar. If non-AI growth slips toward the mid-20s at the same time, the concentration fear stops being about one customer and starts being about the model.
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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!
