Morgan Stanley · MS-PI · FY2025 Q4 · Calendar Q1 2026

Morgan Stanley Highlights AI, Wealth Flows and Capital Efficiency

The transcript supports a constructive operating narrative: resilient wealth flows, institutional-securities gains and AI investment provide multiple growth levers. The case is balanced by market-cycle sensitivity, execution demands and uncertainty around margin sustainability.

Reported Before market openNYSEFinancial Services $168.34B market cap
75quality score

Earnings scorecard

Reported versus consensus
Reported EPS $2.68 Consensus $2.43
EPS surprise +10.3% Reported versus consensus
Reported revenue $17.89B Consensus $17.74B
Revenue surprise +0.8% Reported versus consensus

Market reaction

unavailable
Stock move — Event window
SPY move — Same window
Abnormal move — Stock minus SPY
Volume — Versus trailing sessions
Subsequent drift — Up to 20 sessions
Price and volume data were unavailable at publication time.

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Transcript intelligence

What changed

Management highlighted AI deployment, the EquityZen acquisition and partnerships with Carta and Zero Hash as additions to its growth and digital-asset strategy, while retaining existing performance targets.

Guidance delta

Management maintained existing performance targets and emphasized consistent capital efficiency rather than adjusting them.

Key takeaways

  • Management described AI as a central investment area for revenue generation and cost efficiency.
  • Wealth-management flows and institutional-securities share gains were highlighted as key growth drivers.
  • Digital-asset and private-company capabilities are expanding through EquityZen and partnerships.
  • The firm emphasized capital returns and a focus on higher lows in performance.

Management priorities

  • Scale AI across client-facing and back-office functions.
  • Integrate EquityZen and expand private-company services through partnerships.
  • Invest in digital-asset and tokenized-asset offerings.
  • Continue capital returns while expanding in EMEA and Asia.

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Earnings History

Estimate Beat Miss Match
MS-PI EPS earnings history estimate and actual scatter chart 9 reported fiscal quarters and 4 future estimate-only quarters. Q1 '24 actual $2.11, None Q2 '24 actual $1.91, None Q2 '25 estimate $1.98 Q2 '25 actual $222.16, beat Q3 '25 estimate $2.10 Q3 '25 actual $2.90, beat Q4 '25 estimate $2.43 Q4 '25 actual $2.68, beat Q1 '26 estimate $3.02 Q1 '26 actual $3.43, beat Q2 '26 estimate $2.93 Q2 '26 actual $3.46, beat Q3 '26 estimate $2.93 Q3 '26 actual $3.03, beat Q4 '26 estimate $2.92 Q1 '27 estimate $3.60 Q2 '27 estimate $3.41 Q3 '27 estimate $3.39
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Analyst Consensus ?

ConsensusBuy39 ratings
Bullish2256.4%
Neutral1641.0%
Bearish12.6%

Firm-level rating actions

FMP grade actions identify the grading firm, not a named analyst.

FirmRatingPrior ratingActionDate
Wolfe Research Peer Perform UnderperformUpgradeOct 19, 2023
Oppenheimer Outperform OutperformMaintainOct 18, 2023
Evercore ISI Group Outperform OutperformMaintainOct 18, 2023
BMO Capital Outperform OutperformMaintainOct 18, 2023
UBS Neutral BuyDowngradeOct 10, 2023
Show 34 more rating actions

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Company context

Snapshot as of publication

Morgan Stanley, a financial holding company, provides various financial products and services to corporations, governments, financial institutions, and individuals in the Americas, Europe, the Middle East, Africa, and Asia. It operates through Institutional Securities, Wealth Management, and Investment Management segments. The Institutional Securities segment offers capital raising and financial advisory services, including services related to the underwriting of debt, equity, and other securities, as well as advice on mergers and acquisitions, restructurings, real estate, and project finance. This segment also provides sales and trading services, such as sales, financing, prime brokerage, and market-making services in equity and fixed income products consisting of foreign exchange and commodities; corporate and commercial real estate loans, which provides secured lending facilities and financing for sales and trading customers, and asset-backed…

Historical context

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Sources

  1. Earnings call transcript and parsed analysis · 2026-05-11T10:29:34.698584+00:00
  2. FN2 earnings calendar · 2026-07-26T00:37:12.209961+00:00
  3. Polygon adjusted daily market bars

Methodology

Reported and consensus figures come from FN2's earnings event records. Market reaction and volume are calculated from daily adjusted bars around the event; abnormal move subtracts the SPY move over the same window.

Transcript intelligence is a structured synthesis of the current and prior earnings-call analyses. Missing values stay missing and are never estimated.

By FN2 Research · Updated · As of 2026-10-15. For educational purposes only; not investment advice.