Nvidia, Palantir Erase $120B After Record Quarter
Key insights
- Nvidia posted record $81.6B Q1 revenue with 92% YoY data center growth but still lost $95.9B in market cap post-earnings.
- Palantir doubled U.S. revenue and raised full-year guidance yet shed $24.3B in market cap due to its price-to-sales ratio above 60.
- The simultaneous $120B correction across both AI-pure-play names suggests consensus AI equity premium has reached a valuation ceiling.
Why this matters
When the two most prominent AI-pure-play equities sell off simultaneously on record earnings, it resets the cost-of-capital assumptions that AI startups and enterprise AI vendors use to justify growth spending. Palantir's P/S above 60 and Nvidia's retreat despite 92% data center growth signal that institutional capital has begun stress-testing AI multiples rather than extending them. Founders and technical leaders entering fundraising in 2026 should expect investor scrutiny to shift from growth rates alone toward margin trajectories and payback periods.
Summary
Nvidia reported a record $81.6B in Q1 revenue, data center up 92% YoY. Palantir doubled U.S. revenue and raised full-year guidance. Both stocks sold off sharply anyway: Nvidia lost $95.9B in market cap, Palantir shed $24.3B, a combined $120B correction.
The driver is valuation math. Palantir's price-to-sales ratio sits above 60, pricing in years of sustained hypergrowth; excellent results don't move the needle when they're already assumed.
Essentially: (Nvidia, Palantir) showed the market that being the world's top AI companies isn't enough when the stock price already assumes it.
- Nvidia's data center grew 92% YoY to a quarterly record, yet shares still retreated post-earnings.
- Palantir's P/S above 60 leaves almost no room for execution risk, even when execution is strong.
- The synchronized selloff across both AI-pure-play names signals the AI equity premium may have found its ceiling.
The correction is less about business performance and more about what institutional capital had already priced in.
Potential risks and opportunities
Risks
- Late-stage AI startups that benchmarked 2025 valuations against Palantir and Nvidia multiples face down-rounds in 2026 if the AI equity premium continues compressing toward historical software averages.
- Nvidia's $95.9B single-session market cap loss could trigger passive-index rebalancing that cascades into adjacent semiconductor names (ASML, TSMC, Broadcom) within the next 30 to 60 days.
- Palantir's P/S above 60 leaves the stock acutely exposed to any federal AI budget cuts or commercial deal slippage, which could accelerate multiple compression well below 40x by Q3 2026.
Opportunities
- Value-oriented institutional funds (Coatue, Viking Global) can now build positions in Nvidia and Palantir at post-correction prices that better reflect near-term earnings realities rather than peak-premium assumptions.
- AI infrastructure vendors with more conservative multiples and clearer path-to-profitability stories (Arista Networks, Dell Technologies AI server division) gain relative attractiveness as capital rotates out of pure-play AI names.
- Short-duration AI application companies with disciplined unit economics can use this valuation reset as a narrative anchor in investor conversations, reframing earnings discipline as a competitive differentiator over growth-at-any-price positioning.
What we don't know yet
- Whether Nvidia's forward guidance addressed Blackwell architecture demand specifically enough to anchor analyst expectations or left meaningful uncertainty about FY2027 data center revenue.
- What share of Palantir's raised full-year guidance is attributable to U.S. government AI contracts versus commercial platform adoption, which carry different growth durability profiles.
- Whether other AI-concentrated public equities (C3.ai, SoundHound, BigBear.ai) experienced correlated selloffs in the same post-earnings window, confirming sector-wide multiple compression.
Originally reported by fool.com
Read the original article →Original headline: Nvidia and Palantir Shed $120 Billion in Combined Market Cap Despite Blowout Q1 Earnings, Signaling AI Valuation Ceiling