Think SpaceX's IPO Is Too Expensive? 2 Recent Developments Could Change That

SpaceX is expected to price its IPO at about $1.77 trillion, implying roughly 95x 2025 sales on $18.7 billion of revenue. New three-year AI compute deals with Anthropic and Alphabet add $2.17 billion per month, or about $26 billion annually, which would lift implied 2026 sales valuation to roughly 35x. The contracts materially improve the revenue outlook, though the article notes the stock would still be expensive and the business mix remains early-stage.

Analysis

The core second-order effect is that SpaceX is no longer just an IPO story; it is effectively a re-rating event for the private AI compute stack. If these contracts are real and durable, they convert what looked like stranded GPU capacity into contracted revenue, which should compress perceived execution risk for any private-market investor pricing AI infra on utilization rather than enterprise adoption. That is structurally bullish for GOOGL, because the deal signals hyperscaler-grade demand is still outstripping internal buildout and supports a capex keeps-rising regime.

For NVDA, the implication is less about direct revenue math and more about duration: large, long-dated compute commitments extend the economic life of the installed base and reduce the odds of a near-term digestion phase. The risk, however, is that this is a financing-and-contracting story, not a software adoption story; if counterparties are simply warehousing capacity, margin quality and renewal visibility may disappoint once the initial term rolls off. That creates a 12-24 month timing mismatch between headline revenue and sustainable earnings power.

The market may be underpricing the competitive spillovers. Any evidence that SpaceX can industrialize third-party compute monetization could pressure other AI infra owners and cloud-adjacent private companies to justify utilization more aggressively, potentially accelerating consolidation among smaller players with excess capacity. The contrarian view is that a 35x forward sales multiple is still vulnerable if investors decide these are low-visibility, non-recurring contracts rather than the start of a repeatable annuity stream.

The cleanest trading setup is to express the theme through the strongest counterparty rather than the IPO itself. GOOGL benefits most if the market reads this as proof that AI capex demand remains elastic; NVDA benefits if the contracts are interpreted as evidence that compute scarcity is persisting. The main catalyst window is the IPO bookbuild and any filing disclosures on customer concentration, renewal clauses, and revenue recognition over the next 1-3 months.

Key Decisions for Investors

• Long GOOGL vs. a broad Nasdaq basket for 1-3 months: favorable if the market extrapolates stronger AI infrastructure demand; stop if filing language suggests the contracts are one-off monetization rather than repeatable demand.
• Add NVDA on any post-IPO volatility over the next 2-6 weeks: the setup is improved if investors view the deals as evidence that GPU scarcity is still supporting pricing power; trim if compute utilization commentary weakens.
• Avoid chasing the IPO at open; wait for 30-60 days post-listing and position only if forward-sales multiple compresses below the headline 35x on clearer visibility into renewals and customer mix.
• Consider a pair long GOOGL / short a basket of lower-quality AI infra names with excess capacity: if this becomes a template, capital should flow to the highest-credibility counterparty and away from balance-sheet-risky imitators.
• Buy downside protection around IPO lock-up/earnings disclosure windows: the key risk is that the market eventually discounts these contracts as non-recurring capacity monetization, which could compress multiple support within 3-6 months.