UBS Maintains Buy Rating on Datadog, Target Price $195
AI summary card
UBS Maintains Buy Rating on Datadog, Target Price $195
Core enterprise demand is solid, AI disruption risk is low, valuation is relatively reasonable—maintaining a buy rating.
- Maintaining a buy rating and unchanged target price of $195.
- Core enterprise customer spending intentions remain solid, expected to increase by 8-15%.
- Low AI disruption risk; customers view it as a moderate AI beneficiary.
- Valuation at 11x 2026E revenue, reasonable compared to high-growth peers.
- Expected Q1 2026 revenue growth of 31%, exceeding company guidance.
Report interpretation
Overview
UBS released its report ahead of Datadog’s Q1 2026 earnings release. Based on surveys of four enterprise customers, the report finds that core demand is solid and AI disruption risk is low, maintaining a buy rating and a $195 price target. Despite the relatively high valuation, the stock remains attractive given its high growth and AI benefits logic.
Core views
On the core enterprise demand side, surveys show Datadog’s spending in 2026 is expected to grow by 8-15% or remain stable, consistent with cloud spending growth. Customers have no plans to switch to competitors (such as Dynatrace, Elastic, etc.) mainly because of Datadog’s platform comprehensiveness and high switching costs. Regarding AI impact, customers classify Datadog as a ‘moderate AI beneficiary.’ The risk from self-built observability products like those from OpenAI is low; customers are reluctant to build or DIY monitoring solutions due to high real-time and performance requirements. Datadog’s revenue from AI-native customers (such as OpenAI, Anthropic) already accounts for 12.5%, making it an important growth driver. In terms of valuation and performance, the 2026E revenue multiple is 11.0x, and the free cash flow multiple is 39x. Compared to other high-growth AI beneficiaries (such as Palantir), it’s discounted and relatively reasonable. Expected Q1 2026 revenue is $988 million (+31% y/y), exceeding company guidance. Full-year 2026 revenue growth is projected at 27%, with an operating margin of 24%.
Analysis framework
The firm validated demand trends through customer surveys (four enterprise customers accounting for 88% of ARR), directly asking about spending plans and AI impacts. It compared valuations with peers (Snowflake, MongoDB, etc.) to assess relative attractiveness. Analyzed the share of AI-native customer revenue and the relationship with OpenAI to gauge AI disruption risk and benefit levels.
Methodology notes
EV/FCF Valuation
The report uses the enterprise value/free cash flow multiple to evaluate the stock price, suitable for high-growth tech companies that are unprofitable or have volatile profits, better reflecting their cash flow generation capacity.
Supply-Demand Framework
By surveying downstream customer spending intentions (demand side), the report judges industry sentiment and validates the sustainability of the company’s revenue growth.
Moat/Competitive Advantage
Analyzing product comprehensiveness, switching costs, and real-time performance requirements to assess the company’s ability to resist competitors and self-built solutions.
Asset mapping & comparison
Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).
- Datadog (DDOG.US)Beneficiary, solid core enterprise demand, AI benefits
- Strengths
- High platform comprehensiveness, high switching costs, fast growth of AI-native customers
- Weaknesses
- Relatively high valuation, high dependence on OpenAI
- Comparison
- Outperforms peers such as Snowflake and MongoDB
- Risks
- Slow recovery of observability spending, intensifying competition
- OpenAI/AnthropicCustomer/Partner, growing revenue contribution
- Strengths
- High-growth AI-native customers
- Risks
- Risk of self-built observability products (low but present)
Key data
- 2026E Revenue Multiple11.0xValuation Benchmark
- 2026E FCF Multiple39xValuation Benchmark
- Target Price$195Based on 43x CY27E FCF
- Q1 2026 Expected Revenue$988 millionExpected to exceed guidance
- Q1 2026 Expected Growth Rate31%YoY
- AI-Native Revenue Share (Q4 2025)12.5%Revenue Mix
Impact & implications
The report believes Datadog has shown resilience amid software sector adjustments, with a positive AI narrative. Solid core enterprise demand supports performance, and low AI disruption risk alleviates market concerns. If Q1 2026 earnings confirm accelerated growth, the stock price could rise further.
Risks
- Slow recovery of observability spending compared to cloud spending
- Intensifying competition leading to pricing pressure
What to watch
- Q1 2026 Earnings Release
- OpenAI Revenue Trajectory
- Whether Full-Year Guidance Will Be Raised