Wall Street Is Finally Figuring Out What Palantir Does: D.A. Davidson Upgrades PLTR to Buy
D.A. Davidson upgraded Palantir Technologies (PLTR) to "buy" on July 2, and the stock gained 3.7% on the news. That is not a dramatic move by Palantir's standards. But the upgrade represents something more significant than a one-day pop: a major firm finally articulating why Palantir's AI orchestration model is not just defensible but difficult to replicate at competitive scale.
Wall Street has struggled with Palantir since the company went public in 2020. The revenue model is opaque. The government contract revenue is lumpy. The commercial expansion has been slower than bulls hoped. And the valuation, which has consistently traded at 30 to 50 times forward revenue, has been nearly impossible to justify with traditional frameworks.
But something is shifting. PLTR has been a top performer in 2026, up roughly 47% year-to-date before July 2's move. And the narrative around what the company actually does is finally crystallizing into something investors can underwrite. The D.A. Davidson upgrade is not the beginning of that shift. It is the moment Wall Street started putting it on paper.
What Palantir Actually Does
The simplest accurate description of Palantir is this: it makes enterprise AI deployable for organizations where data is messy, sensitive, and siloed. Most AI tools assume clean data. Palantir's Ontology framework assumes that data is a disaster and builds a structured semantic layer on top of it, allowing AI systems to act on real-world objects rather than raw database queries.
The Artificial Intelligence Platform (AIP), launched in 2023, takes this further. It allows organizations to deploy large language models inside their own data environments with governance controls that satisfy legal, compliance, and security requirements. For a hospital, a defense contractor, or a financial institution, that is not a nice-to-have. It is the only way they can use AI at all.
Palantir's competitive moat is not its technology stack in isolation. It is the 20 years of domain expertise baked into its deployment methodology, combined with an Ontology layer that competitors would need 5 to 7 years to replicate meaningfully.
The D.A. Davidson Thesis
D.A. Davidson's upgrade centered on Palantir's AI orchestration positioning and its commercial acceleration. The firm cited Q1 2026 U.S. commercial revenue growth of 71% year-over-year as evidence that the AIP product cycle is gaining real momentum beyond the government base. With approximately 130 new commercial customers added in Q1 alone, the pipeline is no longer theoretical.
The firm set a price target of $38, which at the time of the upgrade implied roughly 12% upside from prevailing levels. More importantly, the qualitative framing was notable: Davidson specifically described Palantir as having "first-mover advantages in AI orchestration that are not replicated by any major cloud vendor," a pointed distinction from the commoditization narrative that has dogged the company.
The Government Business: Still the Anchor
Palantir's government revenue, which represents approximately 55% of total sales, has been stable rather than exciting. U.S. government contracts grew about 16% year-over-year in Q1 2026, a healthy rate but well below the commercial growth trajectory. The Maven Smart System, which provides AI-assisted targeting for U.S. defense applications, has expanded to 5 new deployment theaters in the past 12 months.
International government revenue has been the weak point. European defense customers move slowly, and restrictions on data sovereignty have complicated deployments. But with NATO members committing to increased defense spending, Palantir's existing footprint in allied defense ministries positions it well for a multi-year procurement expansion that could add $400 to $600 million in annual revenue by 2028.
The Valuation Question
Palantir still trades at a premium that requires explanation. At roughly 28 times forward revenue and 90 times forward earnings, the stock is not cheap by any conventional metric. But the relevant comparison is not traditional software companies. It is AI infrastructure companies with defensible moats and growing revenue streams, and that peer group trades at similar or higher multiples.
The bull case requires believing 3 things: that commercial revenue continues growing above 60% annually for at least 4 more quarters, that gross margins hold above 80%, and that the AIP platform achieves enough customer lock-in to sustain pricing power. The Q1 2026 data supports all 3 assumptions. The question is whether Q2 and beyond continue the trend.
Bottom Line
The D.A. Davidson upgrade matters not because one analyst's opinion moves markets, but because it signals a broader analytical shift in how Palantir is being evaluated. The company is no longer primarily a government contractor with a mysterious AI platform. It is an AI orchestration infrastructure company with a growing commercial business, a defensible technical moat, and a government base that provides durable revenue. Wall Street is 3 years late to this framing, but the upgrade confirms the narrative is finally arriving on the sell side. At 3.7% on July 2, PLTR is just warming up.
P.S. Palantir's Q2 earnings are expected in early August. The metric to watch is U.S. commercial customer count growth and AIP deal sizes. If the company adds another 120 or more U.S. commercial customers in Q2, the D.A. Davidson upgrade will look prescient, and more banks will follow.