盘后暴跌超4%！特斯拉Q3营收增12%，盈利超预期猛降31%，马斯克称或一季度发布Optimus 3

Core Viewpoint - Tesla's Q3 revenue rebounded with a 12% year-over-year increase, driven by strong automotive sales, while carbon credit sales continued to decline, reaching a two-year low [1][15][18]. Financial Performance - Revenue: Tesla reported Q3 revenue of $28.095 billion, a 12% year-over-year increase and nearly 25% quarter-over-quarter growth, exceeding analyst expectations of $26.36 billion [6][15]. - EPS: The adjusted EPS for Q3 was $0.50, a 31% year-over-year decline, worse than the expected 25% drop [7][17]. - Operating Profit: Operating profit was $1.624 billion, down 40% year-over-year, below analyst expectations [8][17]. - Net Profit: Adjusted net profit for Q3 was $1.77 billion, a 29% year-over-year decline [9]. - Profit Margins: Operating margin was 5.8%, with a gross margin of 18%, down 1.8 percentage points year-over-year [10][18]. - Capital Expenditure: Capital expenditure for Q3 was $2.248 billion, a 36% year-over-year decline [11]. - Free Cash Flow: Free cash flow reached $3.99 billion, a 46% year-over-year increase, significantly above analyst expectations [12]. Business Segments - Automotive: Q3 automotive revenue was $21.205 billion, a 6% year-over-year increase, with a gross margin of 15.4%, below analyst expectations [12][18]. - Energy: Energy generation and storage revenue was $3.415 billion, a 44% year-over-year increase, with record gross profit of $1.1 billion [13][21][23]. Market Developments - Korea has become Tesla's third-largest market, with record deliveries in several regions [24]. - Tesla plans to launch a supervised version of its Full Self-Driving (FSD) software in China and Europe, pending regulatory approval [25]. Future Products - Tesla plans to begin mass production of Cybercab, Semi trucks, and Megapack 3 next year [27]. - The first production line for the Optimus humanoid robot is being installed, with mass production expected soon [27]. AI and Chip Development - Tesla has partnered with Samsung and TSMC to design AI chips, focusing on custom solutions rather than relying solely on Nvidia [28].