
Goldman Sachs reportedly sees SpaceX’s AI division revenue rising to $322 billion by 2030 from $3.2 billion in 2025, while total company revenue is forecast to reach $474 billion from $18.7 billion last year. The IPO is targeting $75 billion in proceeds at a $1.75 trillion valuation, with shares priced at $135 and trading expected to begin on Nasdaq June 12. The outlook is positive for SpaceX’s growth narrative, but Morningstar’s much lower $780 billion valuation and competition from OpenAI and Anthropic highlight execution and valuation risk.
The real market signal is not the headline valuation; it is that public-market fee pools are getting pulled forward into private-market mega-deals. If this listing clears anywhere near the target, GS/MS/C will have proven that scarcity plus brand can overcome normal valuation discipline, and that should help keep the IPO window open for late-stage AI/infra names into 2H—not because fundamentals are suddenly clearer, but because allocators will be forced to benchmark against a new private-market reference price.
Second-order, the underwriting syndicate benefits unevenly. GS likely captures the most strategic value because it is anchoring the narrative and can monetize follow-on financing, structured products, and future capital raises; MS and C gain less from economics and more from distribution credibility. NDAQ is a quieter beneficiary if this deal catalyzes more large-cap listings and secondary supply, but the bigger risk is that an ugly aftermarket would chill the pipeline and hit IPO-related trading/research monetization faster than it hurts underwriting fees.
The consensus is probably underestimating how binary the AI division piece is. If the growth claims start to look even modestly achievable, the stock could re-rate via scarcity and optionality; if not, the market will likely discount the AI narrative first and rerate the whole deal as a capital-raising story rather than a platform story. MORN is the cleanest contrarian loser because a high-profile challenge to its valuation discipline is a reputational headwind for a firm that sells skepticism; its underweight thesis is less about this one transaction and more about the risk that public investors stop paying up for independent fair-value opinions in frothy private-markets tapes.
Catalyst timing matters: near-term trading should be driven by bookbuilding and first-week aftermarket performance, while the next 3-6 months determine whether this becomes a template or a one-off. The main tail risk is not valuation compression, but that the company’s revenue mix is harder to underwrite than peers, which could trigger a fast multiple reset once the lock-up/secondary debate starts. A strong tape could embolden other mega-rounds; a weak one could close the door on premium pricing for private AI assets for quarters.
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