Down 30% from Highs, Wall Street Sees 26% Upside for Datadog

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By Thomas Richmond Published

Quick Read

  • Datadog (DDOG) reported Q4 revenue of $953.2M, up 29% year over year, but guided FY2026 revenue to $4.06B-$4.10B implying 18-20% growth versus 28% in 2025.

  • Datadog trades around $140 against an average analyst price target of $176.95, implying 26% upside.

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Down 30% from Highs, Wall Street Sees 26% Upside for Datadog

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Datadog (NASDAQ:DDOG | DDOG Price Prediction) currently trades around $140, against an average Wall Street price target of $176.95, implying roughly 26% upside for the stock. Datadog operates a unified observability and security platform used by engineering teams to monitor applications, infrastructure, logs, and AI workloads. The stock has been a favored way to play cloud and AI infrastructure, with deep penetration across enterprise customers and AI-native companies. The stock sits well below its 52-week high of $201.69, while analysts price targets have barely moved. Either the market is pricing in a real slowdown, or the pullback is creating an entry point.

Down 30% on 2026 Guidance

Datadog is down about 30% from its high, and the reason comes down to forward guidance. Datadog’s Q4 results were solid, with revenue reaching $953.2 million, up 29% year over year, and non-GAAP EPS of $0.59 beating expectations. However, management guided for FY2026 revenue of $4.06 billion to $4.10 billion, implying 18% to 20% growth, which will be a clear step down from the 28% growth delivered in 2025. This sent the stock down to current multiples of a forward P/E of about 64x and a price-to-sales ratio above 13x.

Insider selling added pressure. Multiple executives sold shares in early March, including CEO Olivier Pomel, reinforcing concerns around near-term expectations.

Why Analysts See the Guidance as Conservative

The bull case rests on the assumption that management’s 2026 guidance is intentionally cautious. Management noted that the core business, excluding its largest customer, is expected to grow at least 20% in 2026. Q1 guidance of 25% to 26% growth sits well above the full-year outlook, suggesting room for upside if trends hold.

Underlying metrics support that view. Customers generating over $1 million in ARR grew 31% year over year to 603, billings rose 34%, and remaining performance obligations increased 52% to $3.46 billion. AI exposure is also expanding. Datadog now serves roughly 650 AI-native customers, including 14 of the top 20, and its Bits AI product has already reached over 2,000 trial and paid users.

Of the 48 analysts in the consensus, the breakdown reflects confidence: 10 rate the stock a Strong Buy, 33 a Buy, 4 a Hold, and 1 a Sell.

A 36.7% Gap on the Target, a 9-Point Lag to the S&P 500

DDOG trades at $129.48 against the $176.95 consensus, about 36.7% of theoretical upside across 43 Buy, 4 Hold and 1 Sell ratings. The 52-week range: a high of $201.69 and a low of $98.01.

Datadog is down 4.79% year to date, while the S&P 500 is up roughly 4.67% over the same stretch. That places DDOG more than 9 percentage points behind the index in 2026, even after a 5.02% bounce over the past month.

Over 12 months, shares are up 30%. A forward P/E of 61 and EV/Revenue of 12.4 remain premium SaaS pricing.

My Take: A High-Upside Stock That Still Looks Expensive

The bull case rests on growth reaccelerating. If Q1 trends hold and management raises guidance through the year, the current 26% gap to target can close. Continued expansion in enterprise customers, strong RPO growth, and AI-driven usage would support that outcome. The bear case rests on the slowdown being real. If growth settles in the high-teens, the current multiple looks too rich, and further compression is likely before earnings catch up.

My view is that the market is already discounting a slowdown, which is why the stock trades well below targets. That creates real upside, but only if Datadog proves over the next few quarters that growth can hold above 20%.

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About the Author Thomas Richmond →

Thomas Richmond is a financial writer and content strategist with 5+ years of experience covering stocks and financial markets. He has published over 250 articles focused on individual stock analysis, helping investors better understand business fundamentals, stock valuations, and long-term opportunities.

Thomas previously served as a Content Lead at TIKR, a stock research platform, where he helped scale the company’s blog to hundreds of articles per month and contributed to a weekly newsletter reaching more than 100,000 investors.

He specializes in breaking down complex companies into clear, actionable insights for everyday investors, with a focus on fundamentals-driven research.

His work has also been featured on platforms including Seeking Alpha and Sure Dividend.

Outside of work, Thomas enjoys weight lifting and soccer.

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