Palantir Stock Dips on Valuation Concerns; Karp Blasts Short Sellers

Palantir (PLTR) shares fell 8% despite strong Q3 results, fueled by valuation concerns, Michael Burry’s short position, and anxieties about an AI bubble. CEO Alex Karp criticized short sellers. While Palantir exceeded expectations and raised guidance, analysts noted the high expectations and forward P/E ratio of 254. Some suggest other AI-focused firms like Microsoft offer better risk-reward. Growth driven primarily by U.S. enterprise demand raises questions about long-term sustainability.

Palantir Stock Dips on Valuation Concerns; Karp Blasts Short Sellers

Palantir (PLTR) shares experienced a significant downturn, plummeting 8% on Tuesday, as investor sentiment was weighed down by concerns over the company’s valuation and news of Michael Burry, known for “The Big Short,” establishing a short position. This development comes despite Palantir’s recent earnings beat, raising questions about the stock’s premium and future growth prospects.

CEO Alex Karp, during an interview on CNBC’s “Squawk Box,” strongly criticized short sellers, accusing them of “market manipulation.” He defended Palantir, stating they are “shorting one of the great businesses of the world.” Karp characterized these short positions as “super triggering,” underscoring the company’s confidence in its long-term potential.

The stock’s negative reaction overshadowed what were generally regarded as positive Q3 results, including exceeding revenue and earnings expectations and issuing robust guidance. Palantir has now surpassed the $1 billion revenue mark for two consecutive quarters and revised its full-year outlook upward.

Goldman Sachs analyst Gabriela Borges noted the tempered market response was “in the context of high expectations,” especially considering Palantir’s history of exceeding revenue forecasts. She also pointed to the stock’s substantial year-to-date outperformance as a factor influencing the reaction.

The sell-off also mirrors broader market anxieties about a potential AI bubble, prompting investors to re-evaluate valuations across the technology sector. Palantir’s valuation has been a subject of scrutiny, as its price-to-earnings ratio trades at a premium compared to more established tech giants with larger revenue streams. This high multiple necessitates consistent, substantial increases in forward guidance to justify investor confidence.

Currently, Palantir’s forward price-to-earnings ratio sits at 254, a stark contrast to Nvidia, the world’s most valuable company, which has a forward P/E of 35. This disparity raises questions about whether Palantir’s current valuation is sustainable.

Jefferies analyst Brent Thill, despite being a self-proclaimed “fundamental fan” of Palantir, suggested that the risk-reward profile may be more attractive in other AI-focused software companies like Microsoft (MSFT) and Snowflake. This sentiment highlights the increasing competition in the AI space and the shifting preferences of investors.

Mizuho analysts described the risk-reward as a “big challenge” despite the company’s strong performance, while D.A. Davidson’s Gil Luria maintained a neutral rating, citing valuation concerns and the company’s increasingly high expectations. The consensus seems to be that while Palantir is executing well on its Artificial Intelligence Platform (AIP) commercialization, its growth is primarily driven by U.S. enterprise demand and front-loaded AI transformation spending, potentially limiting the overall upside.

RBC analysts echoed this sentiment, stating, “Overall, Palantir continues to execute around AIP commercialization, but we believe growth remains narrowly supported by U.S. enterprise demand and front-loaded AI transformation spend.” The future growth depends on the company’s capacity to grow its customer base, successfully penetrate new markets, and prove the long-term sustainability of AI transformation investments.

Original article, Author: Tobias. If you wish to reprint this article, please indicate the source:https://aicnbc.com/12302.html

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