26 Analysts Covering SpaceX Stock Rate It a Buy. Here's Why 8 Analysts Disagree

SpaceX shares are down 36% from their all-time high, while the company still carries an approximately $2 trillion valuation versus a $1.77 trillion IPO market cap. Analyst views are sharply divided: 26 of 34 rate the stock a buy, Morgan Stanley's $300 target implies roughly 100% upside, while one $800 target implies more than 500% upside; Morningstar values shares at $63 and argues even an optimistic AI scenario only approaches the IPO price. The central debate is whether SpaceX can scale AI infrastructure and monetize a claimed $26.5 trillion AI opportunity, but the article concludes that substantial future growth is already reflected in the valuation.

Analysis

The key market variable is not the headline valuation debate but the implied probability assigned to three unproven milestones: economically rapid reusability, sustained launch cadence without margin erosion, and a commercially viable compute workload in orbit. A valuation built on all three creates nonlinear downside: a delay in any one leg can compress the terminal-value multiple even if core connectivity and launch operations continue to execute. The next 1-3 months are therefore more likely to be driven by evidence on unit economics, contracted backlog conversion, and capex intensity than by broad AI sentiment.

The second-order read-through is mixed for NVDA and terrestrial data-center beneficiaries. If the orbital-compute narrative gains credibility, it expands the addressable market for accelerators, networking, and power-efficient hardware; if it fails, the capital remains concentrated in conventional hyperscale builds, favoring established terrestrial AI infrastructure rather than creating incremental demand. MS and OPY benefit commercially from continued retail and institutional interest in a liquid, high-beta AI/space equity, but their bullish research is not independent validation of technical or economic feasibility.

Consensus appears too focused on whether the company is "an AI winner" and insufficiently focused on return on invested capital. A capital-intensive platform can grow revenue rapidly while destroying incremental value if launch, satellite replacement, power, and ground-network costs scale faster than monetizable compute demand. Conversely, the stock may be difficult to short cleanly after a large drawdown: a single contract, successful technical demonstration, or revised capacity target could trigger a sharp reflexive rerating before cash-flow evidence emerges. The thesis is falsified by independently disclosed segment margins, contracted utilization, and capex-per-unit capacity that demonstrate attractive incremental returns over the next 2-4 reporting periods.

Key Decisions for Investors

• Do not initiate a directional SPCX cash short at current levels solely on valuation; require confirmation from weaker backlog conversion, higher capex guidance, or evidence that compute capacity lacks contracted demand. Reassess over the next 1-3 months around operating disclosures.
• If borrow is available and implied volatility is not elevated, express skepticism with a 6-12 month SPCX put spread rather than outright short exposure; structure strikes around a further 20-30% downside to limit squeeze risk. Exit if management provides independently verifiable unit-economics data showing improving incremental margins.
• Maintain a relative preference for NVDA versus SPCX for AI exposure over the next two quarters: NVDA monetizes existing terrestrial demand, while SPCX requires multiple technical and commercial milestones before its AI optionality converts into earnings. The pair is invalidated if orbital-compute contracts become material and disclose credible hardware procurement volume.
• Set an event-driven watch alert for launch reliability, satellite replacement rates, disclosed compute utilization, and incremental capex. A credible third-party customer commitment with pricing and duration would be a catalyst to cover bearish structures; another delay or cost-overrun disclosure would support adding downside exposure.