DA Davidson and Cantor Fitzgerald Raise Palantir (PLTR) Price Targets

DA Davidson and Cantor Fitzgerald both raised Palantir price targets after a strong Q3 driven by accelerating revenue and what DA Davidson called “parabolic” U.S. demand for AI—DA Davidson lifted its target to $215 (from $170) and Cantor Fitzgerald to $198 (from $155)—highlighting Palantir’s Ontology platform and unique positioning to help enterprises and governments deploy AI. Despite the upbeat read on demand and competitive positioning, both firms retained Neutral ratings citing rich valuation—Cantor noted the stock trades roughly five times their infrastructure software coverage median—limiting near-term upside despite favorable fundamentals.

Analysis

DA Davidson and Cantor Fitzgerald both raised Palantir’s price targets after the company reported an “outstanding” Q3 with accelerating revenue growth; DA Davidson increased its target from $170 to $215 and Cantor Fitzgerald raised theirs from $155 to $198. Both firms attributed the strength to rapidly growing U.S. demand for AI solutions and Palantir’s Ontology platform, and Cantor noted the company beat Q3 revenue expectations and the midpoint of guidance.

Despite the operational beat, both research teams retained Neutral ratings explicitly because of valuation; Cantor Fitzgerald stated PLTR trades about five times higher than its infrastructure software coverage median, and DA Davidson called valuation the barrier to an upgrade even while labeling it “the best story in all of software.” The market signal is mildly positive but cautious (sentiment score ~0.35), implying upside is contingent on sustained AI-driven revenue and visible, repeatable customer deployments.

The practical implication is a classic fundamentals-versus-valuation tradeoff: Palantir appears well positioned to capture enterprise and government AI spend, but the stock’s premium increases downside risk and tightens the margin for execution misses, and the article suggests some AI names may offer higher risk-adjusted upside.

Key Decisions for Investors

• Maintain or size modestly long exposure rather than add aggressively given the strong Q3 but rich valuation,
• Wait for confirmatory catalysts such as sustained Q4 revenue beats, clearer Ontology adoption metrics or multiple compression before materially increasing position size,
• Consider rotating a portion of exposure into cheaper AI or infrastructure software names that may offer better downside protection as suggested by the article,
• Implement risk management (position limits, stops or hedges) because the stock trades at roughly five times the infrastructure-software median and is vulnerable to execution or guidance disappointments