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SpaceX has officially transitioned from a dominant private force to the public markets, and the numbers are rewriting the rules of corporate wealth. The Company’s initial public offering was the largest on record, The Wall Street Journal reported. At the IPO price of $135 per share, the market debut centers on a staggering $864 billion total valuation for Elon Musk’s personal stake alone, according to Equilar data.
This newly public valuation highlights a critical shift in how modern chief executives are compensated, and how rapidly that compensation can scale when tied directly to operational milestones.
Breaking Down the $864 Billion Portfolio
According to Equilar data, Musk’s equity in SpaceX spans directly owned shares, performance-vesting instruments and options. Using the fixed $135 IPO price, his holdings break down into three distinct tiers:
Combined, these elements bring Musk’s total SpaceX compensation footprint to $864 billion (now valued at $1.2 trillion at the time of this writing), making him the world's first trillionaire. Of course, Musk must meet several ambitious performance goals to unlock his SpaceX compensation, a feat he has accomplished at Tesla over the years. Even if those PSUs are never earned, his existing holdings exceed $687 billion. Notably, Musk has the rest of his career at the Company to meet the remaining targets.
The SpaceX debut is the opening salvo in what is shaping up to be a historic period for public markets, driven heavily by a highly anticipated wave of artificial intelligence listings. With industry frontrunners like OpenAI and Anthropic having recently initialized their own confidential IPO processes, the market is bracing for a profound valuation test.
Senior Director of Content & Communications
Amit Batish, Senior Director of Content & Communications at Equilar, authored this post. Courtney Yu, Director of Research, and Andrew Gordon, Senior Director of Research Services, contributed data and analysis. Please contact Amit Batish at abatish@equilar.com for more information on Equilar research and data analysis.
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