This growth stock continues to crush the market

Palantir Technologies (NASDAQ: PLTR) he crushed S&P 500 each of the last three years. This started in 2023 when the growth stock generated a return of over 167%, then continued in 2024 with an amazing 340% gain. Its momentum did not wane in 2025 as the stock doubled again, advancing 135%.

Meanwhile, City Group analyst Tyler Radke sees the good times continuing to roll in 2026. He recently upgraded the stock to a buy and set a $235 price target.

The analyst said discussions with CIOs (chief information officers) lead him to believe that Palantir’s commercial revenue will only continue to accelerate as budgets and use cases grow, while government revenue may be about to take off as the US government sees modernization as a top priority. Radke believes this will cause the company to continue to beat analysts’ revenue and earnings estimates and for them to continue to be revised significantly higher.

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Palantir stock’s strong performance can be directly linked to its accelerating revenue growth, which has improved every quarter since the second quarter of 2023. In that span, its year-over-year quarterly revenue growth went from just 13% in 2023 to 63% last quarter.

The biggest driver of Palantir’s success has been commercial customers in the US, which coincides with the introduction of its artificial intelligence platform (AIP). The company began primarily as a government defense contractor, whose Gotham platform was able to gather and analyze data from a large collection of sources and help uncover potential threats. He later brought his data collection and analytics expertise to the commercial sector with his Foundry solution, but it wasn’t until he paired it with AIP to act as an orchestration layer that it really took off.

One of the biggest problems with artificial intelligence (AI) is that it can hallucinate and just make things up. However, having a single source of truth for data can greatly alleviate this problem and make AI more useful in real-world settings.

Foundry AIP can gather data from a variety of sources and organize it into an ontology that links the data to its real-world counterparts, be it a physical object or a process. With this clean and organized data, customers can use the large linguistic model (LLM) of their choice to provide actionable insights based on their data to help solve problems without the worry of AI hallucinations.

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