To summarize, Ives estimates that Palantir will reach $5 billion in revenue by fiscal 2027, and he uses a 10x multiple to derive a $25 price target. Although the forecast of a more than 60% upside from Palantir's current trading levels can be tempting, Rosenbaum makes a great point that the report lacks details supporting these future profitability estimates. In other words, while $5 billion in sales by 2027 is impressive, what is the opportunity cost?
More recently, Morgan Stanley downgraded Palantir stock to $8, which implies a 40% drop from current trading levels. According to several public reports, the bank's downgrade anchors on the gap between Palantir's AI progress and how much it is moving the needle for the company.
This is an interesting stance because Palantir's management has highlighted how much demand the company is experiencing from its AI products. For example, per the company's most recent shareholder letter, investors learned that the company's latest AI development has been deployed across 100 organizations, and the company's current pipeline has 300 or more identified opportunities. But Morgan Stanley could have a point here. Despite the impressive stats above, Palantir is only guiding toward approximately 16% top-line growth this year, far less than other notable beneficiaries of the AI boom such as Nvidia.
Although it would be nice to see a more pronounced reflection of AI demand in Palantir's financials, my view is that Morgan Stanley's stance is a bit shortsighted. Some companies, like Nvidia, will witness a higher surge in demand sooner than others due to how heavily its customers rely on its chip products. However, a company like Palantir is in a more unique position.
While the company sells its software across a variety of industries and end-markets, investors should understand a couple of nuances. First, the sales cycle for enterprise software can be quite long. It could easily take weeks or even months of demoing the products before a formal deal is put in place. Moreover, while the notion of digital transformation and where AI sits in that equation is increasingly becoming a top priority for executives, that does not necessarily mean that all potential customers currently have an identified use case in which AI is ready to be deployed.