According to Woofun AI, the performance of major US stock indexes was divided on Tuesday. The Dow Jones Industrial Average rose 1.02%, the S&P 500 rose 0.28%, and the Nasdaq index fell slightly by 0.02%. In this macro context, stock price fluctuations of the five tech giants SpaceX (SPCX.US), Netflix (NFLX.US), ultra-microcomputer (SMCI.US), Tesla (TSLA.US), and Meta (META.US) have become the core focus of the market, and the financial data and strategic trends behind them are reshaping investors' expectations.
SpaceX's stock price fluctuated between $143.27 and $148.66 in regular trading, eventually falling 0.11% to $147.79. Its 52-week price range was $104.83 to $225.64.
However, there was a sharp reversal in after-hours trading, and the share price surged 8.06% to $159.70. This change stemmed from its third-quarter earnings report: revenue reached $14.58 billion, surging 161% year over year, far exceeding analysts' estimates of $12.74 billion; earnings per share were 35 cents, which was also higher than the 12 cent forecast.
According to data compiled by Woofun AI, the super-smart business sector was a growth engine, with revenue surging 830% to US$7.6 billion; at the same time, the number of Starlink users increased to 13.6 million, driving the connectivity business revenue growth of 69% to 5.2 billion US dollars.
Meanwhile, Tesla shares rose 1.54% to $373.71, fluctuated between $363.64 and $377.59 in the 52-week range of $297.38 to $498.82, and rose again 1.8% to $380.45 after the session. Elon Musk revealed that in response to shareholders' requests, SpaceX and Tesla have each set up a special committee to discuss the merger with the aim of integrating synergy in the fields of artificial intelligence, robotics, chip design, and Starlink.
Although Elon Musk supports the idea, he emphasized that the merger requires shareholders' approval and the consent of at least 50% of Tesla's shareholders. Currently, specific terms have not been agreed upon, and the prospects for the deal are still uncertain.
Netflix shares fell 1.66% to $68.69, with intraday highs of $70.66 and $68.20, respectively, in the 52-week range of $65.10 to $124.86, and a further decline of 5.78% to $64.72 after the market. Its third-quarter revenue was $12.874 billion, up 12% year over year, slightly below analysts' estimates of $12.876 billion; earnings per share were 87 cents, higher than the forecast of 82 cents.
However, the market is concerned about its future guidance: fourth-quarter revenue expectations of $13.442 billion, or 67 cents per share, are lower than Wall Street estimates of $13.517 billion and 73 cents; full-year revenue expectations are $51.1 billion. In contrast, ultra-microcomputer shares rose 1.15% to $32.47, fluctuated intraday between $30.92 and $33.17, in the 52-week range of $19.49 to $55.35, and surged 15.64% to $37.55 after the market. Thanks to strong demand for artificial intelligence platforms, Ultramicrocomputer raised its revenue forecast for the first quarter of fiscal year 2027 from $14.5 billion to $15.5 billion to $18.5 billion, and raised the gross margin forecast from 10.4% to 10.8% to 12% to 12.5%.
This positive forecast was made before it was due to release its full earnings report on November 3, indicating the market's continued optimism about AI infrastructure demand.
Meta shares fell 1.59% to $694.25, with intraday highs of $696.51 and $681.05, and a 52-week range of $520.26 to $779.82. The market expects third-quarter revenue of $63.36 billion, up 23.7% year over year, but earnings per share will fall to $5.89 from $7.25 in the same period last year, and related earnings will be announced after the close of trading on Wednesday.
Although the second-quarter earnings report fell short of expectations, and investors are closely watching the AI business profit model, advertising business development, and rising costs, analysts are still optimistic about the future of the company led by Mark Zuckerberg in the AI field, especially the Muse Assistant that it launched. This shows that even in the face of short-term financial pressure, the long-term strategic layout of tech giants in the AI field is still a key variable supporting their valuation, and the market is re-evaluating the real potential of these companies in intelligent transformation.