PLTR
vs
S&P 500

Over the past 12 months, PLTR has significantly outperformed S&P 500, delivering a return of 482% compared to the S&P 500's 11% growth.
Stocks Performance
PLTR vs S&P 500
Performance By Year
PLTR vs S&P 500
Palantir Technologies Inc
Glance View
In the early 2000s, Palantir Technologies Inc. was conceived as a solution to a complex problem: how could vast datasets be harnessed to make precise, actionable decisions? Founded by visionaries including Peter Thiel and Alex Karp, the company set out to leverage the power of big data and machine learning to tackle intricate challenges, initially focusing on national security and intelligence gathering. Palantir’s flagship platforms, Palantir Gotham and Palantir Foundry, became indispensable tools, enabling clients to sift through mountains of data to uncover insights that would otherwise remain hidden. While Gotham catered primarily to governmental and defense applications, aiding agencies like the CIA in counterterrorism efforts, Foundry provided a versatile solution for a range of industries, from healthcare to finance, seeking to optimize operations with data-driven intelligence. Palantir’s business model hinges on deep integration with its clients, often embedding its software engineers with the customer’s team to tailor solutions to specific needs. This strategy fosters a high degree of customer reliance and retention, leading to long-term contracts and recurring revenue streams. Unlike traditional software companies that sell licenses or off-the-shelf solutions, Palantir adopts a partnership approach, which transforms data into a strategic asset for its clients. As a result, the company's revenue is driven not only by software licensing fees but also by service and support contracts that ensure continuous collaboration and innovation. In recent years, Palantir has expanded its horizons beyond government contracts, capitalizing on the growing commercial sector demand for analytics, thus broadening its footprint in an increasingly data-centric world.
