Key Stats for Datadog Stock
- Current Price: $126.61
- Street Target (Mean): ~$179
- TIKR Target Price (Mid): ~$283
- Potential Total Return: ~124%
- Annualized IRR: ~19% / year
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What Happened?
Datadog (DDOG) stock has been one of the most punishing rides in software this year. Shares hit $201.69 in November 2025, then fell nearly in half before recovering to the mid-$120s, with a max drawdown of 48.62% by February 23, 2026.
The selloff came from a combination of software, multiple compressions, and broad macro volatility. The business did not cause it.
On February 10, 2026, Datadog reported Q4 2025 revenue of $953.19 million, up 29% year over year and beating estimates by 3.81%. The stock closed down 1.80% on the day.
CEO and co-founder Olivier Pomel described what drove the result on the earnings call: “We continue to see broad-based positive trends in the demand environment. With the ongoing momentum of cloud migration, we experienced strength across our business, across our product lines, and across our diverse customer base.”
What stood out beyond revenue was the number of bookings. Datadog’s team closed a record $1.63 billion in bookings, up 37% year over year, including 18 deals over $10 million in total contract value and two exceeding $100 million.
CFO David Obstler added a critical detail: revenue growth in the broad-based business, excluding AI-native customers, accelerated to 23% year over year in Q4, up from 20% in Q3. That means the growth story does not rest on a single large customer or AI-native tailwind.
The analyst’s response has followed. Guggenheim upgraded DDOG to Buy with a $175 target on April 9, 2026, calling the pullback an attractive entry point into what it described as a dominant observability platform.
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Is Datadog Undervalued Today?
At $126.61, Datadog trades at roughly 42x forward EBITDA and 59x forward earnings. Those are premium multiples. Whether they are justified depends on what the platform is actually producing.
The simplest case for the stock is the product breadth.
Three of Datadog’s observability pillars have each independently crossed $1 billion in annual recurring revenue (ARR): infrastructure monitoring at over $1.6 billion, log management at over $1 billion, and the combined APM (application performance monitoring) and DEM (digital experience monitoring) suite, which is currently accelerating into the mid-thirties percent range year over year.
That is not a company relying on a single product to carry the thesis.
The platform also holds customers well. Net revenue retention held at approximately 120% for the trailing twelve months, and gross revenue retention was stable in the mid-to-high nineties. Separately, 55% of customers used four or more Datadog products at the end of Q4, up from 50% a year ago. Each additional product deepens integration, raises switching costs, and expands revenue per account without requiring new logos.
The expansion opportunity inside the existing base is equally large. Datadog counts 48% of the Fortune 500 as customers, yet the median ARR per Fortune 500 customer is still below $500,000, per Pomel on the Q4 call. That is a significant gap between penetration and wallet share.
Datadog’s 2026 Investor Day added another angle: security products have crossed $100 million in ARR and now reach one in four Fortune 500 companies, but account for just 2% of those customers’ total Datadog spend.
On the AI side, over 5,500 customers use Datadog’s AI integrations, and usage of its MCP Server (an interface giving AI agents real-time access to observability data) grew 11-fold quarter over quarter in Q4. Pomel’s thesis is straightforward: AI increases system complexity, so observability demand scales with AI adoption.
Compared to peers, Datadog’s NTM EV/Revenue of 10.10x sits above the peer group median of 7.64x from the TIKR Competitors table. CrowdStrike trades at 17.46x and Palo Alto at 10.40x, while Fortinet comes in at 7.64x. Datadog’s premium to most peers is consistent with its broader platform scope and faster growth, and it is nowhere near CrowdStrike’s level despite spanning a wider product surface area.
The risks are real. FY2026 guidance calls for around 18% to 20% revenue growth, a step down from FY2025’s 27.7%. Obstler noted on the call that guidance is conservative around the largest AI-native customer, whose consumption-based revenue is hard to predict. Software multiples also remain sensitive to macro shocks, as the March volatility demonstrated.
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TIKR Advanced Model Analysis
- Current Price: $126.61
- TIKR Target Price (Mid): ~$283
- Potential Total Return: ~124%
- Annualized IRR: ~19% / year
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The mid-case assumes around 18% revenue CAGR through 2030. The two growth drivers are expansion within the Fortune 500 customer base, where median ARR per customer remains far below its potential, and continued monetization of AI-native workloads. The margin driver is operating leverage on an 80% gross margin platform that already generated $914.72 million in free cash flow in FY2025. At the mid-case, the model produces approximately $283 by December 31, 2030, representing roughly 124% total return and around 19% annualized.
The downside is multiple compressions if growth decelerates faster than modeled or if AI-native customers consolidate spend with hyperscaler tools. At the current price, the model suggests that risk is largely priced in.
Conclusion
Watch Q1 2026 earnings on May 7, 2026, for one number: broad-based revenue growth excluding the top AI-native customer. If that holds at or above the 23% delivered in Q4, the guidance deceleration is conservative framing, not a structural shift. Datadog’s platform breadth, retention, and AI tailwinds are not fully reflected in a stock that is down 37% from its peak.
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Should You Invest in Datadog?
The only way to really know is to look at the numbers yourself. TIKR gives you free access to the same institutional-quality financial data that professional analysts use to answer exactly that question.
Pull up Datadog, and you’ll see years of historical financials, what Wall Street analysts expect for revenue and earnings in the quarters ahead, how valuation multiples have moved over time, and whether price targets are trending up or down.
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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!
