Ticker: PLTR

Palantir Technologies

Software Technology Software - Infrastructure
Price 165.89
Reco Buy Potential 75 Risk 50 Updated 2026-09-10

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Description

Company and Business Model

Palantir Technologies specializes in big data analytics and software solutions. Its core products include Palantir Foundry and Palantir Gotham, which serve various sectors such as government, defense, and commercial enterprises. The company primarily generates revenue through software licenses, subscription services, and consulting. Its major business segments focus on government contracts and commercial partnerships, leveraging advanced data integration and analysis capabilities to support decision-making processes.

Investment Profile

The investment profile of Palantir Technologies is more aligned with growth investors, given its focus on expanding its software solutions and increasing revenue. The company has demonstrated strong quarterly revenue growth, indicating potential for future expansion. However, the elevated risk factors suggest a cautious approach may be warranted.

Fundamental metrics (experimental) Updated: 2026-09-10
EPS (TTM) — earnings per share for the last 12 months, $
1.26
Revenue QoQ — quarter-over-quarter revenue growth
18.6%
EPS surprise
19.0%
20d volatility
3.1%
AI recommendation changes
Date Before After Reason
2026-09-08 Hold Buy Strong growth but mixed momentum signals warrant caution.
2026-09-03 Buy Hold Strong fundamentals but high volatility and risk present.
2026-08-06 Sell Buy Strong revenue growth and positive EPS surprise support momentum.
Analyst forecasts
Date Analyst Action Target Price Then
2026-08-11 Needham Target Raised — → 215 175.23
2026-08-11 UBS Target Raised — → 215 175.23
2026-08-04 Northland Securities Target Raised 190 → 200 158.09
News Page 2 of 3
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Palantir CEO Alex Karp Critiques Token Models of OpenAI and Anthropic Amid Rising AI Costs

Palantir's CEO Alex Karp has criticized the token model used by AI companies Anthropic and OpenAI, highlighting rising costs and a shift in enterprise strategies towards more efficient AI solutions. This commentary underscores the growing concern over the sustainability of current AI pricing models and the competitive landscape with Chinese AI advancements.