Rosenblatt reiterates Palantir stock Buy rating after company visit By Investing.com

Rosenblatt reaffirmed a Buy rating on Palantir and kept its $225 price target, citing stronger conviction after meetings with management and partner FoxTrot. The firm said Palantir could exceed a $1 trillion market cap within five years, while noting FoxTrot’s business is set to at least triple this year. Separately, Palantir reported Q1 2026 EPS of $0.33 vs. $0.28 expected and revenue of $1.633B vs. $1.54B expected, but the stock still fell in after-hours trading.

Analysis

PLTR is increasingly behaving like a “platform winner” rather than a point solution, which matters because the marginal buyer is no longer evaluating model quality alone but implementation leverage and workflow lock-in. If the partner ecosystem is compounding that fast, the second-order effect is that smaller AI application vendors and generic internal-build efforts get squeezed: the real moat becomes integration speed, compliance, and change management, not raw model access. That should keep enterprise software multiples bifurcated, with names that can sit above the stack outperforming pure model-adjacent plays.

The main risk is not demand, it is duration. At ~80x forward earnings, PLTR needs the market to keep underwriting many quarters of very high growth without a growth deceleration or margin digestion phase; any whiff of government budget timing, procurement slippage, or partner capacity constraints could compress multiple fast. In that setup, the stock can trade like a long-duration asset in a rates scare even if fundamentals stay intact.

NVDA’s move on the same tape suggests the market is still pricing AI capex resilience, but PLTR is a different exposure: it is the software monetization leg of the AI trade, not the infrastructure leg. If AI spend rotates from training-heavy to deployment-heavy, PLTR should benefit later in the cycle; if the market starts questioning whether enterprise AI proofs-of-concept convert to durable revenue, PLTR is the first high-beta AI software name to de-rate. The contrarian issue is that consensus may be underestimating how much good news is already embedded after the post-earnings reaction and analyst upgrades.

Key Decisions for Investors

• Short-dated tactical long PLTR via call spreads into the next catalyst window, but only on pullbacks: risk/reward favors defined-risk upside if the market keeps rewarding AI software execution; cap premium with a 1-2 month spread rather than outright stock.
• For hedged exposure, pair long NVDA / short PLTR on a 4-8 week horizon if you want AI upside with less multiple risk: NVDA benefits more directly from capex persistence, while PLTR is more vulnerable to post-upgrade digestion.
• If already long PLTR, take some chips off into strength and keep a core only: the stock likely needs several clean quarters to justify its duration premium, so trim 25-35% on analyst-driven spikes.
• Watch for a volatility event around guidance or partner commentary; if implied vol remains elevated, sell put spreads only at materially lower strikes to express willingness to own PLTR after a 15-20% correction.
• Relative-value idea: long high-quality enterprise software with cheaper multiples versus short PLTR for a month-end/quarter-end reversion trade if AI enthusiasm broadens out of the few obvious winners.