Finance

Daiwa Upgrades Palantir on AI Demand, Strong Commercial Revenue Guidance

Daiwa Capital Markets upgraded Palantir Technologies (PLTR) to Buy from Neutral, citing robust AI-driven demand and a Q4 beat. The note also flags a lower price target of $180 from $200 and highlights accelerating U.S. commercial revenue as Palantir scales its business.

📅 February 10, 2026
⏱️ 2 min read
Daiwa Upgrades Palantir on AI Demand, Strong Commercial Revenue Guidance

Key Takeaways

  • Upgrade to Buy by Daiwa, citing AI demand and a strong Q4.
  • Price target cut to $180 from $200, implying ~26% upside.
  • U.S. commercial revenue up 137% year over year, underscoring commercial expansion.
  • 2026 guidance targets at least 115% growth in U.S. commercial revenue.
  • Palantir stock: +23% over 12 months, -20% in 2026 year-to-date.

People Involved

  • Shigemichi YoshizuDaiwa Capital Markets Analyst

Entities Involved

  • Palantir Technologies, Inc. (PLTR)AI-enabled analytics software company
  • Daiwa Capital MarketsInvestment research arm of Daiwa Securities

MarketMoodz Analysis

Investors should view the upgrade as a sign that Palantir’s AI-enabled analytics platform is gaining traction across both public and private sectors, supported by a Q4 beat and a 137% YoY surge in U.S. commercial revenue. The note emphasizes scaling the commercial business through greater penetration and longer-term contracts, which could drive faster top-line growth.

Palantir’s revenue mix remains weighed toward government contracts, a factor that can constrain margins and investor optimism. The upgrade’s optimism on the commercial side earns Palantir a higher-multiple stance among AI peers, but investors should monitor profitability trajectory, contract dynamics, and the government exposure that still underpins a sizable portion of revenue.

What to watch next includes Palantir’s ability to translate 2026 guidance — including at least 115% growth in U.S. commercial revenue — into consistent quarterly results, how government revenue evolves, and how competitors respond to AI adoption in both federal and commercial environments.

Source: Original Article

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