SPCX stock closed Tuesday’s regular session lower, then jumped in after-hours trading after SpaceX delivered a blockbuster third-quarter report. The company posted revenue of $14.58 billion — up 161% year over year and well ahead of the roughly $12.72 billion Wall Street expected — along with its first solidly profitable quarter since going public earlier in 2026 under the ticker SPCX.
Shares finished the regular session at $147.79, down $0.17 (-0.11%), then rose as high as $154.57 in extended trading, a gain of about 4.6%, as investors digested the beat.
What SpaceX reported for Q3
The headline numbers, as covered by Teslarati on October 20:
- Revenue of $14.58 billion, up 161% year over year from $5.6 billion
- Adjusted EBITDA of $8.8 billion, up 306% year over year
- GAAP net income of $4.4 billion, versus a $1.1 billion net loss in the same quarter last year
- Adjusted EPS of roughly $0.35, against consensus expectations of around $0.13–0.16
The quarter was powered by a surge in the company’s “Super Intelligence” segment, whose revenue hit $7.56 billion — up 830% year over year. Connectivity, home to Starlink, generated $5.25 billion in revenue with adjusted EBITDA of $3.5 billion, and Starlink consumer subscribers reached 13.6 million, nearly double the 7.2 million reported a year earlier.
Not everything was perfect: SpaceX flew 35 launches in the quarter, short of the 41 it targeted, and quarterly capex of $19.6 billion keeps cash burn in focus.
What Wall Street expected before the print
Heading into the report, analysts had set a cautious bar. The Motley Fool previewed the report the same day, noting Wall Street expected sales of about $12.72 billion and earnings of $0.13 per share — with the focus on whether stronger sales were translating into better profitability.
Options traders were braced for a big move, and RBC Capital analyst Kenneth Herbert held a Buy rating on the stock with a $225 price target. TipRanks data put the average analyst target at $217.50 — implying about 47% upside from pre-earnings levels — with a Moderate Buy consensus across 28 Buys, five Holds and two Sells.
Why SPCX stock moved after hours
The stock’s muted regular-session move gave way to a sharp after-hours rally because the report answered the market’s biggest question: whether SpaceX could convert its breakneck revenue growth into actual profit. With GAAP net income of $4.4 billion and EBITDA of $8.8 billion, that answer came back clearly.
Investors also rewarded the Super Intelligence breakout. The segment’s 830% revenue jump suggests SpaceX is scaling well beyond launch services into a diversified infrastructure business — exactly the story behind the AI compute spending that has made analysts both bullish and nervous.
Still, the caution flags are real. The stock remains roughly 34% below its 52-week high of $225.64, and insiders have been sellers: COO Gwynne Shotwell sold about 342,170 shares in September for roughly $52.5 million under a pre-arranged trading plan. Heavy capex and valuation sensitivity mean the stock is likely to stay volatile around future reports.
How to track SPCX stock from here
Canadian investors watching the story can follow SPCX stock on Meyka’s US stock screener and check the US earnings calendar for upcoming reports across the market. Meyka is an AI-powered stock and crypto research platform tracking 60,000 stocks across 10 global markets, including Canada. For unusual trading activity around big earnings, the US unusual volume page is worth a look.
This article is for informational purposes only and does not constitute financial advice.
Sources: Teslarati (“SpaceX delivers blockbuster Q3 results as Super Intelligence segment booms”, 20 Oct 2026); The Motley Fool (“SpaceX Reports Earnings Today. Here Are the Key Numbers Investors Should Watch”, 20 Oct 2026); TipRanks (“SpaceX Last-Minute Q3 Earnings Alert: Options Traders Expect a Large Move in SPCX Stock”, 20 Oct 2026); Financier.news (“SpaceX Q3 revenue jumps 161% to $14.58B”, 20 Oct 2026).
About Author

Huzaifa Zahoor
Co FounderHuzaifa Zahoor is the engineer who built Meyka. He has spent years writing Python, training AI models, and building data pipelines specifically for financial markets. His technical articles have reached over 30,000 readers on Medium, so he knows how to make complex things easy to follow. If this article touches on how the tools work, he is the person who actually built them.
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