Morgan Stanley Stock Earnings Reports

Morgan Stanley reported a very strong Q2 2026: record revenues of $21.3 billion, EPS (ex-CVA) of $3.46 for the quarter and $6.90 year-to-date, and ROTCE of ~27%. Key business highlights: Institutional Securities produced a record quarter ($11.0B revenue) led by an exceptional equities franchise ($6.3B) and stronger investment banking; Wealth Management hit record revenues ($8.9B), delivered a record $148B of organic net new assets (driven largely by workplace/IPO flows) and has $8T of client assets (combined Wealth + Investment Management client assets now $10T); Investment Management AUM reached $2T with continued inflows into alternatives and Parametric (~$760B). Financial position and capital actions: standardized CET1 ~14.8% with roughly a 300+ bps capital cushion (~$18B CET1 accretion over 10 quarters), $1.5B of buybacks in the quarter, and a 15% increase to the quarterly dividend to $1.15. Management emphasized continuing strategic investments (notably technology and AI-enabled infrastructure), disciplined organic-first growth with selective inorganic bolt-on evaluation, and the durable integrated firm model (advice across private-to-public). They called out two secular themes shaping opportunities and risks: (1) accelerating enterprise adoption of AI (management cited very large multi-year CapEx potential) and (2) geopolitics reshaping supply chains and capital allocation. Near-term/framing details: year-to-date efficiency ratio ~65%, Wealth pre-tax margin ~30.5%, deposits $436B, NII $2.3B (modest sequential increase in NII expected in Q3), quarterly tax rate 23.1% (guidance 22–23% annual). Key investor takeaways: strong operating leverage in a receptive market, substantial capital cushion enabling client support, continued heavy investment in technology/AI and distribution, record client flows and AUM growth (workplace channel a durable top-of-funnel driver), and management’s bias to deploy new capital organically while remaining open to high-quality bolt-ons. Risks noted by management: market/activity sensitivity, timing/uncertainty of AI investment adoption, and geopolitics/regulatory dynamics that could affect activity.