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SpaceX and AMD shares fall after earnings

2026-08-05 08:40

After-hours trading punished SpaceX and AMD despite both companies reporting revenue above market expectations, as traders focused on the cash demands of AI expansion, valuation pressure and the scale of future spending rather than headline sales growth.

The supplied report said SpaceX shares fell more than 7% after the company’s first quarterly earnings release as a public company, while AMD shares declined more than 9%. Both results exceeded analysts’ revenue expectations, but each company faced a market that appeared to demand a clearer payoff from heavy investment in computing infrastructure.

SpaceX reported quarterly revenue of $7.8 billion, according to the supplied report. Its second-quarter capital expenditures reached $18.369 billion, including roughly $16 billion allocated to AI computing infrastructure. That AI-related spending exceeded the $13.2 billion analyst estimate cited in the report and approached the company’s revenue across two quarters.

The numbers place short-term attention on cash flow. Fast revenue growth can support investment in data centers, chips and networking equipment, but spending that outpaces quarterly sales leaves less room for operational setbacks or weaker demand. In this case, the reported reaction suggests that traders viewed the scale of expenditure as more immediately relevant than the revenue beat.

Spacex faces spending and share-supply questions

The supplied report said SpaceX would also face an unlock of 910 million shares following its earnings release. That amount was described as exceeding the existing free float, potentially increasing the number of shares available for trading.

Large unlocks do not automatically lead to selling, since holders may retain their positions. Yet they can alter the market’s calculation of potential supply, particularly after a sharp post-earnings decline. A larger tradable share base can also make a stock more sensitive to early selling by insiders, employees or funds seeking liquidity.

Elon Musk, identified in the supplied report as speaking during the earnings call, moved the company’s target for $1 trillion in annual revenue to 2030 from 2031. He also discussed Starlink’s potential to provide substantial internet service across most countries where it receives operating permission in less than a decade.

Those ambitions would depend on sustained spending across satellite deployment, launch capacity, ground infrastructure and network operations. The reported $16 billion AI infrastructure budget adds another major funding commitment to a business already associated with capital-intensive projects.

The market response illustrates a difficult balance for companies funding large-scale AI capacity: they must spend early enough to secure computing resources, while showing that the resulting infrastructure can eventually produce margins and cash generation that justify the outlay.

Amd beats forecasts but shares retreat

AMD reported total revenue of $11.54 billion, up 50% from a year earlier and ahead of the $11.28 billion market estimate cited in the supplied report. Adjusted earnings per share came in at $1.66, above the $1.62 analyst expectation.

Its data-center business generated $6.72 billion in revenue, rising 107% year over year and roughly 15.6% from the preceding quarter, according to the report. That division has become central to AMD’s attempt to capture more demand for AI accelerators, the chips used to train and operate advanced AI systems.

For the third quarter, AMD forecast revenue of about $13 billion, compared with a $12.52 billion market estimate, while projecting an adjusted gross margin of roughly 56%. The guidance indicates that management expects data-center demand to remain strong through the next reporting period.

Lisa Su, AMD’s chief executive officer, said the company’s second-generation Helios AI server was in full production and expected to begin shipping in the coming months, according to the supplied report. The system combines AMD’s MI455X accelerator with Taiwan Semiconductor Manufacturing Co.’s Venice processor. The report added that related server deliveries to Meta and OpenAI were expected to begin by the end of the quarter.

That production schedule gives AMD an opportunity to turn product announcements into recognized revenue, but it also raises the standard for execution. Data-center customers buying AI systems require reliable supply, competitive performance and timely deployment. Delays in any part of the server chain—from chip packaging to networking components—could affect the pace at which booked demand becomes sales.

Elevated expectations leave little room for a routine beat

AMD’s decline followed a year in which its shares had doubled, according to the supplied report. It also cited a discounted cash flow estimate placing fair value near $130, while describing the stock as trading between $400 and $500.

Valuation estimates depend heavily on assumptions about revenue growth, margins, discount rates and the durability of AI demand. A large gap between a modelled value and a market price does not predict an immediate decline, but it shows how much future execution may already be reflected in the share price.

The two earnings reactions point to the same market tension. AI infrastructure is generating rapid revenue growth for companies supplying computing capacity and the chips behind it, yet the expansion requires unusually large upfront investment. Traders appear increasingly unwilling to reward spending plans solely because they are linked to AI.

For SpaceX, the reported concerns centered on whether spending can be absorbed without straining near-term cash generation, alongside the prospective increase in tradable shares. For AMD, the question was whether strong data-center results and above-consensus guidance were sufficient to support a stock that had already risen sharply.

The immediate selloff does not erase the reported growth figures. It shows that earnings season has become less about surpassing consensus by a narrow margin and more about proving that AI-related sales, capital spending and profitability can advance together.


Concerned about market reactions to AI spending? Learn how traders spot stock and crypto opportunities with our technical analysis guide.

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