Morgan Stanley Posts Record Revenue, Q2 EPS $3.46 Beats Expectations
Morgan Stanley posted record Q2 2026 results: net revenue of $21.3 billion (up 27% year over year) and EPS of $3.46, beating consensus estimates. Net income rose 58% to about $5.6 billion, powered by a record $6.3 billion in equities trading revenue (up 69%) as an AI-driven trading boom lifted Morgan Stanley alongside rivals Goldman Sachs and JPMorgan Chase.
Morgan Stanley MS posted record second-quarter results on July 15, 2026, with net revenue of $21.3 billion, up 27% year over year, and earnings per share of $3.46, reportedly about $0.57 above the $2.89 estimate tracked by FactSet . Net income applicable to the firm jumped 58% to roughly $5.6 billion, and CEO Ted Pick pointed to both record revenue and record EPS for the quarter.
The beat was powered by an AI-fueled trading boom across Wall Street. Morgan Stanley's equities trading revenue hit a record near $6.3 billion, a 69% surge from a year earlier , as investors piled into AI-linked names. Rivals rode the same wave: Goldman Sachs and JPMorgan Chase also posted double-digit gains in equities trading and investment banking revenue this quarter, underscoring that the strength reflects a sector-wide AI trading story rather than something isolated to Morgan Stanley.
Beyond trading, Morgan Stanley's wealth management franchise reportedly crossed a notable milestone, with total client assets nearing $10 trillion, a sign the firm's diversification beyond pure trading revenue remains intact even in a quarter where equities carried much of the headline growth .
The key question going forward is durability. Equities and investment banking revenue tend to be more cyclical than fee-based wealth management, so any pullback in AI-driven trading volumes or capital markets activity could compress the growth rate investors just priced in. Investors should watch whether Morgan Stanley's wealth management asset growth and investment banking pipeline can offset a moderation in trading revenue in coming quarters, and how this quarter's AI-trading strength compares across the rest of the bank earnings season.
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