SpaceX Stock Soared 19% on Its Market Debut. Here's Why I'm Not Buying It.

SpaceX reportedly went public on June 12 and ended its first day with a $2.1 trillion market cap after a 19% gain, making it the world's seventh-most-valuable company. The article highlights strong 2025 revenue growth to $18.7 billion (+33%), with connectivity revenue up 50% to $11.4 billion and AI revenue at $3.2 billion, but argues valuation is stretched at a 32.5x forward P/S versus 6.8x for the Nasdaq-100. Wall Street sees revenue rising to as much as $64.5 billion in 2027, yet the piece remains skeptical on risk/reward.

Analysis

The clean read-through is not that SpaceX is “expensive,” but that the market is effectively capitalizing a three-stage option stack: launch services monetization, network densification, and AI compute infrastructure. That makes near-term execution in connectivity and AI disproportionately important versus the legacy space business, and it also shifts the competitive battlefield toward power, chips, backhaul, and data-center cooling rather than just rockets. In that framework, the listed beneficiaries are not SpaceX competitors but its enablers: GPU suppliers, cloud-adjacent infrastructure, and large-language-model customers that can arbitrage cheaper compute capacity.

The biggest second-order risk is bottleneck migration. As launch cadence and satellite throughput improve, the constraint likely moves to power delivery, GPU supply, and spectrum/regulatory approvals, which can create lumpy revenue recognition and periodic expectation resets over the next 2-4 quarters. Any delay in the commercial ramp of high-bandwidth satellites or in AI capacity utilization would matter more than headline subscriber growth because valuation is already discounting uninterrupted compounding.

The contrarian angle is that the market may be overestimating the durability of AI infrastructure margins. If SpaceX is monetizing spare compute by renting to frontier-model customers, the economics could compress quickly once those customers diversify suppliers or bring capacity in-house; that would cap the upside to the AI story while leaving the stock exposed to multiple compression. For the listed names in the data, the most direct express is GOOGL: it benefits as a buyer of rented capacity and as a strategic competitor that can internalize compute economics if pricing remains favorable. NVDA is a cleaner, higher-quality indirect winner, but the tighter the supply chain, the more the market will worry about customer concentration and future bargaining power.

Key Decisions for Investors

• Long NVDA vs. short a high-multiple AI infrastructure basket for 3-6 months: if the market starts questioning rentability and customer stickiness of external compute, Nvidia should retain pricing power while weaker intermediaries de-rate.
• Add GOOGL on weakness over the next 1-2 months: it has optionality as both a compute tenant and a horizontal AI competitor, and any dislocation in rented-capacity pricing improves its cost structure relative to peers.
• Avoid initiating fresh long exposure to SpaceX-equivalent high-multiple infrastructure themes for now; the setup is vulnerable to a 15-25% de-rating if quarterly utilization or forward capacity bookings slip even modestly.
• Use NVDA call spreads 6-9 months out rather than outright calls: upside from continued AI capex is intact, but spreads reduce premium decay if the market pauses to digest valuation risk.
• If listed later or accessible via proxies, short the suppliers most levered to one-customer concentration around frontier AI buildouts on any strength; the key risk is not demand destruction, but customer insourcing and price compression over 2-4 quarters.