Wall Street AI Investment Feast Sets New Record Again! Morgan Stanley(MS.US) Q2 Stock Trading Business Rakes in a Record High of $6.3 billion

The latest financial results released by the Wall Street financial giant Morgan Stanley (MS.US) showed that the company's stock trading business far exceeded the expectations of Wall Street analysts, once again setting a quarterly record and further reaping rich profits from the active and volatile stock market trading environment brought by the financial industry as a whole in the second quarter. According to a statement released by the company on Wednesday, Morgan Stanley's revenue from stock trading business in the second quarter reached $6.3 billion, a 69% increase, surpassing the historical highest quarterly record set in the first quarter. The company's highly anticipated wealth management business also gained $148.1 billion in net new assets, far exceeding the consensus expectations of Wall Street analysts. Morgan Stanley's performance marked the end of the second quarter earnings season for the largest commercial banking giants in the United States, including Goldman Sachs Group, Inc., Bank of America Corp, and Citigroup. The second quarter became an extremely strong quarter for Wall Street's performance, with stock trading-related revenues from JPMorgan Chase, Goldman Sachs Group, Inc., Bank of America Corp, and Citigroup all surpassing the expectations of Wall Street analysts and reaching historical highs. The financial reports and outlook released by the four major Wall Street financial giants on Tuesday showed that the prosperity of AI investments has escalated from the semiconductor industry cycle to an unprecedented super cycle of capital formation: mega-scale cloud providers, data center operators, AI application unicorns, and chip giants continuously convert massive capital expenditures into deliverable computing power through corporate bonds, stock offerings, acquisitions, project loans, and structured financing. The Wall Street banking giants make profits from underwriting, consulting, financing, and market-making income at every stage, driven by the unprecedented AI investment frenzy, leading to significant stock trading-related revenues behind the global stock market's frenzy. The Wall Street AI financing feast set another record, igniting the underwriting windfall for SpaceX's listing After the "AI + space exploration" super technology giant SpaceX, founded by Musk, completed its record-breaking initial public offering in the US stock market, investment banking business fees also became a focus of attention. Morgan Stanley and Goldman Sachs Group, Inc. jointly led the large-scale stock offering of SpaceX in the second quarter. In the second quarter, Morgan Stanley's underwriting fees for stocks reached $851 million, a 70% increase from the same period last year, driving total investment banking fees to approximately $2.44 billion. Merger bankers earned approximately $798 million in fees, while bond underwriting business generated $788 million in revenue. In the second quarter, Morgan Stanley earned $798 million in fees by providing financial advisory services for corporate mergers and approximately $788 million in underwriting revenue by helping companies or institutions issue bonds and other debt securities. This indicates that corporate mergers, debt financing, and stock financing are all rebounding strongly in the capital market. It is important to note that the former (mergers) includes valuation research, finding buyers or sellers, negotiating and executing transactions, and other advisory services, while the latter includes designing bond structures, determining issue prices, organizing investor subscriptions, and completing distributions. It is not interest income obtained from loans by Morgan Stanley itself, nor is it the principal amount of merger transactions or bond issuances. As of Tuesday, Morgan Stanley's stock price had risen by 28% since the beginning of the year; the stock rose 1% in pre-market trading on the New York Stock Exchange on Wednesday. Morgan Stanley's wealth management business generated $8.86 billion in net revenue, significantly higher than market expectations. The company introduced cryptocurrency trading on its e*Trade innovative wealth management platform in the second quarter, capturing market share through pricing lower than its major competitors. The latest quarter's performance of Morgan Stanley shows rare resonance in the growth quality. Institutional securities business net revenue increased 44% to $11.04 billion, with pre-tax profit doubling to $4.262 billion; total revenue from equity-related businesses increased 69% to a record $6.3 billion, fixed income business increased 13% to $2.455 billion, investment banking business increased 58% to $2.437 billion, including stocks. Underwriting revenue increased 70% to $851 million, merger advisory revenue increased by about 57% to $798 million, and bond underwriting revenue increased by about 48% to $788 million. The company's wealth management net revenue in the second quarter increased by 14% year-on-year to $8.856 billion, with pre-tax profit growing by 23% to $2.697 billion and maintaining a pre-tax profit margin of 30.5%. Net new assets increased from $59.2 billion to $148.1 billion in the second quarter, with wealth management client assets reaching $8.08 trillion, a 25% increase year-on-year, and total investment management assets exceeding $10 trillion. The company's average number of daily trading transactions increased by 30%, showing that the market's rise, IPO wealth effect, and client trading activity are all being transformed into recurring management fees and trading revenue. Morgan Stanley solidifies its position as the "AI financial beta": trading, investment banking, and wealth management all benefit from tech prosperity Morgan Stanley's stock trading-related revenue in the second quarter surged by 69% to $6.3 billion, investment banking business fees rose to $24.4 billion, and wealth management net new assets reached $148.1 billion, reflecting the unprecedented AI investment boom driving the significant increase in technology stock prices, large-scale technology financing like SpaceX, heavy market trading volume, and the high net worth wealth effect brought by technology valuation expansion, all channeling Morgan Stanley's profit elasticity through trading, underwriting, and asset management. Morgan Stanley delivered a strong financial report in the second quarter, exceeding expectations in terms of overall revenue, profit, capital investment return rate, and operational efficiency. Net revenue reached a record $21.348 billion, a 27% year-on-year increase, approximately $8% higher than the market expectation of about $19.7 billion; earnings per share were $3.46, a 62% increase year-on-year, approximately 18% higher than the consensus expectation of $2.93; net profit attributable to Morgan Stanley increased by 58% to $5.581 billion, and pre-tax profit increased by 59% to $7.348 billion. More importantly, Morgan Stanley's pre-tax profit margin in the second quarter rose from 28% to 34%, cost efficiency ratio decreased from 71% to 65%, tangible common stock return rate leaped from 18.2% to 26.6%, indicating that the overall revenue growth significantly exceeded cost expansion, forming a true operational leverage, not relying on a single accounting profit to fabricate surface overperformance. Against the backdrop of the unprecedented AI investment boom sweeping the global stock market, from a profit perspective, Wall Street financial giants can be considered the biggest winners apart from chip giants like NVIDIA Corporation and Taiwan Semiconductor Manufacturing Co., Ltd. Sponsored ADR. Funds flow statistics in the US-listed ETF and exchange-traded product (ETP) industry show that global ETF inflows reached a record $1 trillion in the first half of 2026, with stock ETFs absorbing $680 billion, and the technology, energy, and industrial sectors becoming the main directions of industry ETF inflows. The latest statistics from the global asset management giant BlackRock, Inc. show that a record $321 billion in global net funds inflow was recorded in the first half of this year. Long-term investment funds received a total net inflow of $199 billion, higher than the average analyst expectation of approximately $170 billion. BlackRock, Inc.'s exchange-traded fund (ETF) business absorbed approximately $178 billion, representing the vast majority of new funds entering the asset management giant, while cash and money market funds recorded a net outflow of $7 billion. A forecast report from BlackRock, Inc.'s research team shows that by 2030, global technology companies, including US tech giants, will still need to accumulate approximately $5 trillion to $8 trillion in capital related to AI computing power infrastructure. The report clearly indicates that regardless of which type of model or AI application model prevails, assets such as electricity, memory/storage, AI chips, data center CPUs, and optical interconnect systems are indispensable scarce resources for AI data center computing power infrastructure. Similar to other Wall Street financial giants such as Bank of America Corp and Goldman Sachs Group, Inc., Morgan Stanley has captured its high sensitivity to the super cycle of AI capital formation and wealth effects. The expansion of AI computing power demand drives the AI investment boom, tech company IPOs, stock offerings, mergers, convertible bonds, and corporate bond financing. Morgan Stanley earns the first layer of fees through underwriting, market-making, prime brokerage, and risk management businesses; the appreciation of tech assets and IPOs inject founder, employee, and investor wealth into its workplace equity plans and wealth management platforms, forming a second layer of management fee compounding. The listing of SpaceX and other large tech transactions further amplify this transmission. From an investment perspective, Morgan Stanley should be seen as a high-quality financial lever and capital market fee platform for the AI super cycle, rather than a traditional bank stock that can independently hedge against the downturn of the AI boom.