Palantir’s $255 Bet: Why BofA’s Price Target Ignores the Insiders Who Are Selling

(SeaPRwire) –   Palantir reported its best earnings in recent memory, yet something about the market’s reaction feels more like momentum than conviction. Revenue of $1.94 billion crushed the $1.81 billion consensus. That is a 92.8 percent year-over-year jump. Earnings per share came in at $0.41 against a $0.34 estimate. The stock rose about 10 percent on Friday alone, and the broader tech sector lent its usual tailwind. But the real question worth asking is not whether the numbers are impressive. The real question is whether a price target of $255 makes sense when insiders have unloaded over $150 million in shares in just the last 90 days.

Bank of America has now raised its target to $255, maintaining a Buy rating and implying roughly 50 percent upside from recent trading levels around $172. Northland Securities lifted its FY2026 EPS forecast to $1.24 from $1.08 and pushed FY2027 to $1.53 from $1.39. Mizuho raised its target to $215. The institutional commentary reads uniformly bullish. Yet the company trades at a P/E of 147. That ratio demands unbroken compounding. One stumble and the valuation model breaks. The softer July jobs report helped fuel the rally by dimming near-term rate hike expectations. High-growth software stocks benefit from that kind of macro tailwind, and Palantir is certainly getting the boost. The stock sits at $172, well above its 50-day moving average of $131.76 and not far from its 12-month high of $207.52. Insider selling of 1.1 million shares worth $150.7 million is being described as tax-driven. Everhart Financial Group trimmed its stake by 17.5 percent in Q2. ARK Invest reduced its position. Michael Burry remains bearish. The consensus average price target is $190.73. That is nearly $65 below BofA’s $255 call. The gap between those two targets is not trivial. It signals a real divergence in how the street sees this stock’s ceiling.

Bank of America’s thesis rests on three pillars: sovereign AI, expanding commercial contracts, and deep government relationships. Sovereign AI is a genuine demand driver. Organizations want to deploy AI without ceding control of sensitive data to foreign or public clouds. Palantir’s architecture is purpose-built for that use case. Commercial clients are signing larger deals and spending more with existing accounts. A net margin of 49.01 percent and an ROE of 30.57 percent show the machine is profitable at scale. Those are real numbers. But the $255 target assumes growth continues unimpeded. The analyst breakdown tells a different story. Two Strong Buys and 20 Buys dominate the board, but 11 Holds and three Sells exist alongside it. Oppenheimer cut its rating from outperform to market perform. A P/E of 147 is a bet on perfection, not a description of current reality. The market is pricing in durability before durability has been fully proven through multiple quarters of deceleration.

The commercial loop here is straightforward and also fragile. Government contracts provide revenue stability. Commercial expansion provides growth acceleration. The intersection is where Palantir makes its case. But commercial AI buyers are pragmatic. They will renew if the platform delivers measurable results and they will reduce spend if something better emerges. The company has proven it can sell to governments. The harder test is whether it can repeat that execution at scale in the private sector while maintaining these margins. Bank of America is right to be bullish. So is Mizuho. So is the broader Buy consensus. But the insider selling deserves more weight than it is getting in these models. When executives unload that much stock, they are not always just paying taxes. Sometimes they are simply betting on their own valuation. A price target of $255 is a conviction call. The trades happening behind the scenes suggest the conviction may not be as uniform as the ratings imply.
Author bio: Christian Pierce is a chief financial columnist and markets commentator with a focus on technology earnings, valuation dislocations, and the behavioral gaps between analyst targets and insider activity.