Palantir Technologies Inc. (PLTR) saw its stock rise sharply after reporting robust fourth-quarter financials and upwardly revised guidance, signaling sustained momentum in AI-driven enterprise adoption and government contracting. The rally also lifted defense sector peers RTX and LMT.
- Palantir reported $902 million in Q4 revenue, a 37% YoY increase
- Adjusted EBITDA rose to $337 million, up 31% from prior year
- Total bookings reached $1.2 billion, exceeding estimates
- 2027 revenue guidance raised to $4.1B–$4.2B range
- Government segment grew 49% YoY, driven by DoD and intelligence contracts
- RTX and LMT shares rose 6.2% and 4.8% respectively on sector-wide optimism
Palantir Technologies (PLTR) posted a 24% jump in its stock price following the release of its fiscal Q4 2026 results, driven by a 37% year-over-year increase in revenue to $902 million and a 31% rise in adjusted EBITDA to $337 million. The company reported total bookings of $1.2 billion, exceeding analyst expectations, with the U.S. government and defense sector contributing 44% of the total. Management emphasized strong traction in its AI-powered platforms, particularly in mission-critical applications for national security and logistics. The company raised its full-year 2027 revenue guidance to a range of $4.1 billion to $4.2 billion, a significant upward revision from prior estimates. This forward-looking optimism underscored confidence in continued expansion across both commercial and defense verticals. Palantir’s government segment grew 49% year-over-year, fueled by new contracts with the Department of Defense and intelligence agencies, including integrations with existing U.S. military command systems. The rally had ripple effects across the defense technology landscape. Raytheon Technologies (RTX) rose 6.2%, while Lockheed Martin (LMT) gained 4.8%, reflecting investor reassessment of defense sector valuations amid heightened expectations for AI-enabled modernization. Market participants noted that Palantir’s performance validated the long-term growth potential of AI-driven infrastructure in government and enterprise markets.