Elena Nikulina

Tesla-SpaceX merger talks face shareholder and regulatory hurdles

Tesla-SpaceX merger talks face shareholder and regulatory hurdles
Tesla-SpaceX merger hurdles

Speculation over a potential merger between Tesla and SpaceX is intensifying after Elon Musk publicly backed the idea during earnings discussions. Any deal still faces a lengthy path through special committee talks, shareholder approval and regulatory scrutiny in the U.S. and abroad.

Highlights

  • Tesla and SpaceX have formed special committees to explore a merger, with approval requiring 50% of all Tesla shares according to Musk.
  • SpaceX, valued near $2 trillion versus Tesla's $1.5 trillion, is seen by analysts as the likely acquirer in a stock-for-stock deal, potentially increasing Musk's control.
  • Tesla shares fell 3% Thursday and remain down 17% year-to-date as regulatory scrutiny, antitrust, and China cross-border risks overshadow merger discussions.

Merger path and governance obstacles

As reported by CNBC, Musk said on SpaceX's third-quarter earnings call that a merger with Tesla would be "a good idea" and disclosed that both companies have formed special committees to explore a transaction. He later told Tesla shareholders that he had already said everything that should be said on the subject, while Tesla's investor relations chief told analysts the company would not address the matter further on the call.

The prospect of combining Musk's electric vehicle, robotics and energy operations with SpaceX's launch, satellite and artificial intelligence businesses is drawing intense attention on Wall Street. But the structure of any transaction is complicated by the companies' ownership profiles, with Musk holding nearly 80% voting control at SpaceX through 10-to-1 supervoting shares while beneficially owning 19.8% of Tesla, according to the automaker's latest proxy filing.

Musk said Tesla would need approval from 50% of all shares, not only those voting, a threshold he described as high. With SpaceX valued at close to $2 trillion and Tesla at about $1.5 trillion, analysts see SpaceX as the likely acquirer in a stock-for-stock deal, a structure that could strengthen Musk's control over a combined company.

Market reaction and cross-border review risks

Tesla's latest earnings report is overshadowed by the merger discussion, even as it shows declining automotive revenue and a sharper drop in the energy business. Tesla shares fall 3% on Thursday and remain down 17% for the year, while SpaceX drops 9%, erasing gains from the prior session and slipping below its June market debut price.

William Blair analysts said the merger push appears more tied to control than business necessity, arguing that Musk already operates the companies with substantial overlap. Columbia law professor Eric Talley told CNBC that a merger could reduce shareholder concerns over divided loyalties and clarify where robotics and artificial intelligence initiatives belong as the companies increasingly converge.

Regulatory review is likely to extend well beyond corporate negotiations. Former Tesla board member Steve Westly said regulators' response will be central, while analysts also point to antitrust, national security and cross-border issues, especially in China, an important manufacturing and revenue market for Tesla and a jurisdiction likely to scrutinize any tie-up involving SpaceX's government-linked satellite operations.

The merger speculation also fits Musk's recent dealmaking pattern. Earlier this year, SpaceX acquired xAI, and Musk has already combined xAI with X and expanded further through SpaceX's purchase of Cursor, while Tesla's recent Roadster prototype event at a SpaceX test site adds to investor expectations that cooperation between the companies is deepening.

Our earlier article on AI agents explained that many large U.S. companies are seeing early efficiency and growth gains, but most CEOs still do not view the technology as transformational yet, according to a KPMG survey. It also noted that executives expect continued hiring, retraining, and higher capital spending on AI infrastructure as organizations adapt workflows and manage the operational risks that come with more autonomous systems.

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