Palantir Technologies
The data analytics and AI powerhouse — $4.48B in annual revenue, 70% YoY growth, and embedded in the most classified government systems on Earth through Gotham, Foundry, and the AIP generative AI platform.
Business Overview
What does Palantir do, and why is it so hard to replicate?
Palantir Technologies is the invisible operating system of the world's most powerful institutions. Co-founded in 2003 by Peter Thiel and CEO Alex Karp, the company builds software that transforms messy, fragmented data into actionable intelligence. From tracking terrorist networks for the CIA to optimising supply chains for Airbus, Palantir sits at the intersection of data analytics, artificial intelligence, and national security.
Headquartered in Denver, Colorado, Palantir operates two core platforms: Gotham for government and intelligence agencies (deployed in Top Secret/SCI classified environments), and Foundry for commercial enterprises. In 2023, the company launched AIP (Artificial Intelligence Platform), which allows organisations to build and deploy generative AI applications on top of their own data — and this has become the primary growth engine.
What makes Palantir unique is its ontology layer — a proprietary data architecture that maps the relationships between objects, events, and systems in ways that traditional databases cannot. Once deployed, Palantir becomes the central nervous system of an organisation, making it extraordinarily difficult to replace. The company also deploys forward-deployed engineers who embed directly with customers to customise the platform, creating deep integration that competitors cannot easily match.
The AIP platform has supercharged growth by enabling enterprise customers to deploy AI agents, automate workflows, and make real-time decisions at scale. U.S. commercial revenue alone grew 121% YoY, demonstrating that Palantir is successfully expanding beyond its government roots into the broader enterprise market.
Government
Gotham platform for defence and intelligence, plus Foundry for civil government. ~55% of total revenue. Includes classified deployments with Top Secret/SCI clearance environments.
Commercial
Foundry and AIP for enterprises. ~45% of revenue and the fastest-growing segment (121% U.S. commercial growth). Customers include Airbus, BP, and major healthcare systems.
AIP (AI Platform)
Generative AI layer built on top of Gotham and Foundry. Enables AI agents, automated decision-making, and rapid application development. The primary catalyst driving revenue acceleration.
Financial Fundamentals
Three tests every quality business must pass
Moat Analysis
Five dimensions that determine competitive durability
Brand Loyalty & Pricing Power
8/10Palantir is synonymous with elite data analytics in government and defence circles. The brand commands premium pricing due to its differentiated AI capabilities and classified-environment credibility. Enterprise AIP contracts are growing rapidly, demonstrating willingness to pay for unique capabilities.
High Barriers to Entry
9/10Palantir holds 3,500+ patents and operates in Top Secret/SCI classified environments that require years of security clearances to access. The proprietary ontology architecture is decades in the making. No competitor can simply replicate the embedded relationships Palantir has built within intelligence agencies and the Department of Defence.
High Switching Costs
9/10Transition costs range from $2.5M to $7.5M per enterprise client, with 6–9 month implementation timelines. Once deployed, Palantir becomes the central nervous system of an organisation — integrating deeply into core operations, data pipelines, and decision workflows. Ripping it out means rebuilding from scratch.
Network Effect
6/10Moderate network effects — the ontology framework becomes more valuable as more organisations and data sources integrate, but Palantir is not a consumer platform with viral adoption. Government network effects are stronger (inter-agency intelligence sharing), while commercial network effects are still developing as ecosystem expands.
Economies of Scale
7/10Operating margins have expanded to 22% as revenue scales, and free cash flow reached $2.10B TTM. AIP provides a more scalable deployment model than traditional Foundry. However, reliance on forward-deployed engineers for customisation limits pure software-like scaling. As revenue grows, unit economics continue to improve.
Bull & Bear Thesis
Both sides of the coin — so you can decide for yourself
Bull Case
Bear Case
Growth Drivers
Where the next wave of revenue comes from
AIP Acceleration
The Artificial Intelligence Platform is driving 70% revenue growth with capabilities doubling every six months. Enterprise AI adoption is in early innings and Palantir's unique ontology-based approach allows rapid deployment of AI workflows. U.S. commercial AIP adoption grew 121% YoY.
Commercial Expansion
Commercial revenue grew 121% in the U.S., demonstrating successful expansion beyond government. New verticals, geographic markets (e.g., Aither joint venture in UAE with Dubai Holding), and increasing enterprise adoption of Foundry and AIP are opening massive adjacent revenue streams.
Contract Momentum
Record total contract value of $2.8B in Q3 2025 with growing average deal sizes demonstrates enterprise traction and multi-year commitment visibility. Highest-ever quarterly bookings indicate pricing power and willingness to deploy significant capital on Palantir's platform.
Operating Leverage
Operating margins expanded to 22% (up from historically lower levels), demonstrating improving unit economics as revenue scales. Free cash flow reached $2.10B TTM. The profitability trajectory supports reinvestment in R&D, market expansion, and long-term shareholder value creation.
Investment Risks
Every investment has risks — here is what could go wrong
Extreme Valuation Crash Risk
P/S ratio over 100x and P/E over 400x leave the stock vulnerable to severe downside if growth rates decelerate or execution falters. Any quarterly disappointment could trigger sharp derating. Sustained double-digit growth for years is required to justify current multiples — a high bar for any company.
High SeverityGovernment Revenue Concentration
55% of revenue from government contracts creates concentration risk. Shifts in administration priorities, budget constraints, or procurement policy changes could materially impact revenue. Proposed defence spending cuts and potential geopolitical shifts could reduce government customer demand or contract values.
High SeverityScalability Bottleneck
Heavy reliance on forward-deployed engineers for implementation limits ability to scale revenue as efficiently as pure SaaS competitors. Unlike self-service platforms from Microsoft or AWS, Palantir's complex requirements create implementation bottlenecks. Scaling talent while maintaining quality is an ongoing execution challenge.
Medium SeverityBig Tech Competition
Microsoft, Amazon AWS, Google Cloud, Snowflake, and Databricks are rapidly expanding AI and data analytics offerings with superior distribution and pricing leverage. Enterprise customers increasingly demand integrated platforms, and Palantir faces risk of commoditisation and margin compression as competition intensifies.
Medium SeverityValuation & Intrinsic Value
What is this business actually worth?
As of 16 February 2026, Palantir Technologies (PLTR) is trading at approximately 63% above its estimated intrinsic value based on our discounted cash flow model. While the business fundamentals are exceptional — 25.5% ROIC, zero debt, $7.18B cash, 70% revenue growth, and a wide moat in classified environments — the current market price has already priced in years of aggressive growth. With a P/S ratio above 100x and P/E above 400x, investors face significant downside risk if growth decelerates.
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This research is for educational purposes only and does not constitute financial advice. The information presented is based on publicly available data and our independent analysis. Always do your own research and consult a qualified financial advisor before making any investment decisions. Past performance is not indicative of future results.