Morgan Stanley (MS)
Market Price (12/29/2025): $181.9 | Market Cap: $285.8 BilSector: Financials | Industry: Investment Banking & Brokerage
Morgan Stanley (MS)
Market Price (12/29/2025): $181.9Market Cap: $285.8 BilSector: FinancialsIndustry: Investment Banking & Brokerage
Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.
| Attractive yieldTotal YieldTotal Yield = Earnings Yield + Dividend Yield, Earnings Yield = Net Income / Market Cap Dividend Yield = Total Dividends / Market Cap is 5.7% | Trading close to highsDist 52W High is 0.0%, Dist 3Y High is 0.0% | Debt is significantNet D/ENet Debt/Equity. Debt net of cash. Negative indicates net cash. Equity is taken as the Market Capitalization is 88% |
| Low stock price volatilityVol 12M is 31% | Moderate capital ratioTier 1 Capital / Risk Wtd Assets RatioTier 1 Capital / Risk-Weighted Assets is a common measure of financial strength for a bank. It reflects how much equity there is relative to assets where assets are weighted based on riskiness. Low ratios indicate the bank is highly vulnerable to even small changes in the value of their risk assets. is 9.5% | Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -5.7%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -11% |
| Megatrend and thematic driversMegatrends include Fintech & Digital Payments, Digital & Alternative Assets, AI in Financial Services, and Sustainable Finance. Show more. | Key risksMS key risks include [1] significant regulatory investigations into whether its wealth management division failed to adequately vet high-risk clients, Show more. |
| Attractive yieldTotal YieldTotal Yield = Earnings Yield + Dividend Yield, Earnings Yield = Net Income / Market Cap Dividend Yield = Total Dividends / Market Cap is 5.7% |
| Low stock price volatilityVol 12M is 31% |
| Megatrend and thematic driversMegatrends include Fintech & Digital Payments, Digital & Alternative Assets, AI in Financial Services, and Sustainable Finance. Show more. |
| Trading close to highsDist 52W High is 0.0%, Dist 3Y High is 0.0% |
| Moderate capital ratioTier 1 Capital / Risk Wtd Assets RatioTier 1 Capital / Risk-Weighted Assets is a common measure of financial strength for a bank. It reflects how much equity there is relative to assets where assets are weighted based on riskiness. Low ratios indicate the bank is highly vulnerable to even small changes in the value of their risk assets. is 9.5% |
| Debt is significantNet D/ENet Debt/Equity. Debt net of cash. Negative indicates net cash. Equity is taken as the Market Capitalization is 88% |
| Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -5.7%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -11% |
| Key risksMS key risks include [1] significant regulatory investigations into whether its wealth management division failed to adequately vet high-risk clients, Show more. |
Why The Stock Moved
Qualitative Assessment
AI Analysis | Feedback
1. Strong Third Quarter 2025 Earnings Beat.
Morgan Stanley reported outstanding third-quarter 2025 results on October 15, 2025, significantly surpassing analyst expectations for both earnings per share (EPS) and revenue. The company announced record revenues of $18.2 billion and an EPS of $2.80, considerably higher than the forecasted ranges. This strong performance across its business segments led to a positive market reaction, with the stock surging over 3.6% in pre-market trading.
2. Robust Performance Across Key Business Segments.
The firm's Q3 2025 results highlighted strong contributions from all its major divisions. The Institutional Securities segment saw a rebound in Investment Banking activity, driven by renewed M&A advisory and a resurgent IPO market, alongside robust Equity trading performance. The Wealth Management division continued its strong growth trajectory, adding $81 billion in net new assets and achieving a 30% pre-tax margin.
Show more
Stock Movement Drivers
Fundamental Drivers
The 14.3% change in MS stock from 9/28/2025 to 12/28/2025 was primarily driven by a 5.0% change in the company's Net Income Margin (%).| 9282025 | 12282025 | Change | |
|---|---|---|---|
| Stock Price ($) | 159.14 | 181.87 | 14.28% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 61503.00 | 64247.00 | 4.46% |
| Net Income Margin (%) | 23.99% | 25.18% | 4.95% |
| P/E Multiple | 17.01 | 17.66 | 3.84% |
| Shares Outstanding (Mil) | 1577.00 | 1571.00 | 0.38% |
| Cumulative Contribution | 14.28% |
Market Drivers
9/28/2025 to 12/28/2025| Return | Correlation | |
|---|---|---|
| MS | 14.3% | |
| Market (SPY) | 4.3% | 62.8% |
| Sector (XLF) | 3.3% | 64.6% |
Fundamental Drivers
The 31.0% change in MS stock from 6/29/2025 to 12/28/2025 was primarily driven by a 14.8% change in the company's P/E Multiple.| 6292025 | 12282025 | Change | |
|---|---|---|---|
| Stock Price ($) | 138.87 | 181.87 | 30.96% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 59923.00 | 64247.00 | 7.22% |
| Net Income Margin (%) | 23.85% | 25.18% | 5.57% |
| P/E Multiple | 15.39 | 17.66 | 14.75% |
| Shares Outstanding (Mil) | 1584.00 | 1571.00 | 0.82% |
| Cumulative Contribution | 30.95% |
Market Drivers
6/29/2025 to 12/28/2025| Return | Correlation | |
|---|---|---|
| MS | 31.0% | |
| Market (SPY) | 12.6% | 65.3% |
| Sector (XLF) | 7.4% | 68.7% |
Fundamental Drivers
The 47.5% change in MS stock from 12/28/2024 to 12/28/2025 was primarily driven by a 22.9% change in the company's Net Income Margin (%).| 12282024 | 12282025 | Change | |
|---|---|---|---|
| Stock Price ($) | 123.31 | 181.87 | 47.49% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 54609.00 | 64247.00 | 17.65% |
| Net Income Margin (%) | 20.50% | 25.18% | 22.85% |
| P/E Multiple | 17.49 | 17.66 | 0.95% |
| Shares Outstanding (Mil) | 1588.00 | 1571.00 | 1.07% |
| Cumulative Contribution | 47.48% |
Market Drivers
12/28/2024 to 12/28/2025| Return | Correlation | |
|---|---|---|
| MS | 47.5% | |
| Market (SPY) | 17.0% | 82.4% |
| Sector (XLF) | 15.3% | 84.3% |
Fundamental Drivers
The 136.1% change in MS stock from 12/29/2022 to 12/28/2025 was primarily driven by a 71.1% change in the company's P/E Multiple.| 12292022 | 12282025 | Change | |
|---|---|---|---|
| Stock Price ($) | 77.02 | 181.87 | 136.13% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 52025.00 | 64247.00 | 23.49% |
| Net Income Margin (%) | 24.01% | 25.18% | 4.90% |
| P/E Multiple | 10.32 | 17.66 | 71.07% |
| Shares Outstanding (Mil) | 1674.00 | 1571.00 | 6.15% |
| Cumulative Contribution | 135.24% |
Market Drivers
12/29/2023 to 12/28/2025| Return | Correlation | |
|---|---|---|
| MS | 107.8% | |
| Market (SPY) | 48.4% | 70.7% |
| Sector (XLF) | 51.8% | 81.0% |
Price Returns Compared
| 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| MS Return | 38% | 47% | -10% | 14% | 40% | 49% | 329% |
| Peers Return | 16% | 38% | -12% | 21% | 26% | 16% | 150% |
| S&P 500 Return | 16% | 27% | -19% | 24% | 23% | 18% | 114% |
Monthly Win Rates [3] | |||||||
| MS Win Rate | 75% | 75% | 50% | 50% | 58% | 75% | |
| Peers Win Rate | 52% | 65% | 42% | 68% | 57% | 52% | |
| S&P 500 Win Rate | 58% | 75% | 42% | 67% | 75% | 73% | |
Max Drawdowns [4] | |||||||
| MS Max Drawdown | -45% | -2% | -25% | -15% | -10% | -20% | |
| Peers Max Drawdown | -34% | -5% | -26% | -7% | -9% | -23% | |
| S&P 500 Max Drawdown | -31% | -1% | -25% | -1% | -2% | -15% | |
[1] Cumulative total returns since the beginning of 2020
[2] Peers: HPQ, HPE, IBM, CSCO, AAPL. See MS Returns vs. Peers.
[3] Win Rate = % of calendar months in which monthly returns were positive
[4] Max drawdown represents maximum peak-to-trough decline within a year
[5] 2025 data is for the year up to 12/26/2025 (YTD)
How Low Can It Go
| Event | MS | S&P 500 |
|---|---|---|
| 2022 Inflation Shock | ||
| % Loss | -33.0% | -25.4% |
| % Gain to Breakeven | 49.1% | 34.1% |
| Time to Breakeven | 845 days | 464 days |
| 2020 Covid Pandemic | ||
| % Loss | -51.6% | -33.9% |
| % Gain to Breakeven | 106.8% | 51.3% |
| Time to Breakeven | 238 days | 148 days |
| 2018 Correction | ||
| % Loss | -37.2% | -19.8% |
| % Gain to Breakeven | 59.2% | 24.7% |
| Time to Breakeven | 700 days | 120 days |
| 2008 Global Financial Crisis | ||
| % Loss | -87.6% | -56.8% |
| % Gain to Breakeven | 704.0% | 131.3% |
| Time to Breakeven | 4,431 days | 1,480 days |
Compare to HPQ, HPE, IBM, CSCO, AAPL
In The Past
Morgan Stanley's stock fell -33.0% during the 2022 Inflation Shock from a high on 2/9/2022. A -33.0% loss requires a 49.1% gain to breakeven.
Preserve Wealth
Limiting losses and compounding gains is essential to preserving wealth over time.
Asset Allocation
Actively managed asset allocation strategies protect wealth. Learn more.
AI Analysis | Feedback
Here are 1-3 brief analogies for Morgan Stanley:
- Think of it as a direct peer to Goldman Sachs, offering similar high-end investment banking, trading, and asset management services.
- Similar to JPMorgan Chase, but with a primary focus on advising large corporations and managing wealth for affluent individuals.
- Essentially, it's a specialized, high-end version of a universal bank like Bank of America or Citigroup, catering to institutional clients and the ultra-wealthy.
AI Analysis | Feedback
- Investment Banking Services: Advising corporations on mergers, acquisitions, restructurings, and capital raising through equity and debt offerings.
- Sales & Trading: Facilitating client transactions in equities, fixed income, commodities, and foreign exchange markets, and engaging in market-making activities.
- Wealth Management Services: Providing financial planning, investment advisory, brokerage, and private banking services to affluent individuals and families.
- Investment Management: Managing portfolios for institutional clients and retail investors across a broad range of asset classes and investment strategies.
- Corporate Lending: Extending credit and other financing solutions to corporations and institutional clients.
AI Analysis | Feedback
Based on its 2023 financial statements, Morgan Stanley's (symbol: MS) Wealth Management segment generated slightly more revenue than its Institutional Securities segment, suggesting that it primarily serves individuals. Therefore, the company's major customers can be described within the following categories:
- High Net Worth (HNW) and Ultra High Net Worth (UHNW) Individuals: These are individuals with significant investable assets who utilize Morgan Stanley's comprehensive wealth management services, including financial planning, investment advisory, brokerage, lending, and trust services. This segment represents a core focus and major revenue driver for the firm.
- Institutional Clients: Despite the larger revenue from individuals in recent years, Morgan Stanley continues to serve a vast array of institutional clients globally. This category includes corporations (public and private) for whom Morgan Stanley provides investment banking services (e.g., mergers & acquisitions advisory, equity and debt underwriting), sales & trading services, and prime brokerage. It also encompasses governments, central banks, hedge funds, pension funds, and asset managers who engage in capital markets activities and seek asset management solutions.
- Small to Medium-sized Businesses (SMBs) and Corporate Employees: Morgan Stanley provides financial solutions to SMBs, including retirement plans and other wealth management services. Additionally, through corporate relationships, it serves employees of various companies by managing equity compensation plans, offering workplace financial wellness programs, and providing access to other retail investment products.
AI Analysis | Feedback
- Microsoft (MSFT)
- Bloomberg L.P.
- London Stock Exchange Group (LSEG)
- S&P Global (SPGI)
AI Analysis | Feedback
Ted Pick, Chairman and Chief Executive Officer
Ted Pick is the Chairman and Chief Executive Officer of Morgan Stanley, assuming the CEO role in January 2024 and Chairman in January 2025. He joined Morgan Stanley in 1990 and has held numerous significant positions within the firm, including Co-President, Co-Head of Firm Strategy, and Head of the Institutional Securities Group, where he oversaw Investment Banking, Equities, Fixed Income, Global Capital Markets, and Research. Mr. Pick is credited with leading the turnaround of the firm's Fixed Income Division and establishing the Institutional Equities business as a global leader. During the 2008 financial crisis, he was involved in capital-raising activities. He was promoted to Managing Director in 2002 and became a member of the Management Committee in 2008 and the Operating Committee in 2012. Mr. Pick graduated from Middlebury College and received an MBA from Harvard Business School.
Sharon Yeshaya, Executive Vice President and Chief Financial Officer
Sharon Yeshaya is the Executive Vice President and Chief Financial Officer of Morgan Stanley, a position she has held since June 2021. She joined Morgan Stanley in 2001 as an investment banking analyst after a summer internship in 2000. Throughout her career at the firm, she has held various leadership roles, including Head of Investor Relations from 2016 to 2021, and Chief of Staff to the CEO, a role she took on in 2014. Ms. Yeshaya also held positions in the Fixed Income Division, including co-head of New Product Origination for Derivative Structured Products. She is a member of the firm's Operating and Management Committees. Ms. Yeshaya holds a Bachelor of Arts in Economics and a Bachelor of Economics in Finance from the University of Pennsylvania and The Wharton School.
Andy Saperstein, Co-President
Andy Saperstein is a Co-President of Morgan Stanley, responsible for all Wealth Management channels, including Financial Advisors, E*TRADE, and Morgan Stanley at Work. He also has responsibility for the U.S. Banks business and Firmwide Marketing globally. Mr. Saperstein joined Morgan Stanley in 2006 as COO of National Sales. Following the acquisition of Smith Barney in 2009, he became Head of U.S. Wealth Management. His prior roles include Co-Head of Wealth Management and Co-COO of the Institutional Securities Group. Before joining Morgan Stanley, Mr. Saperstein served as COO of the Direct Division at Merrill Lynch and was a partner in the Financial Institutions Group of McKinsey & Company. He graduated cum laude from Harvard Law School and summa cum laude from The Wharton School/College of Arts and Sciences at the University of Pennsylvania.
Dan Simkowitz, Co-President
Dan Simkowitz is a Co-President of Morgan Stanley, responsible for the Institutional Securities Group and Co-Head of Firm Strategy. He began his career at Morgan Stanley in 1990 in the M&A department, working in New York, Tokyo, and Hong Kong. Mr. Simkowitz previously served as Co-Head of Global Capital Markets and was the lead capital markets partner for the firm's assignments with the U.S. Treasury and Federal Reserve during the 2008-2012 financial crisis. In 2016, he was appointed Head of Morgan Stanley Investment Management (MSIM) and led the firm's acquisitions of Eaton Vance/Parametric and Mesa West, as well as the growth of its private markets and alternatives platform. He is a graduate of Harvard College and holds an MBA from Columbia University.
AI Analysis | Feedback
Here are the key risks to Morgan Stanley's business:- Regulatory and Compliance Risk (Anti-Money Laundering): Morgan Stanley faces significant scrutiny and investigations from regulatory bodies, including the Justice Department and the Securities and Exchange Commission. These probes are examining whether the bank adequately vetted clients, especially those from high-risk regions, and whether its accounts facilitated money laundering tied to corruption and sanctioned individuals. An internal report from 2023 indicated that nearly a quarter of the bank's international wealth accounts were classified as "High/High+" risk for potential money laundering. The firm has initiated a large-scale cleanup effort, including stricter policies and closing thousands of risky accounts.
- Market Risk and Economic Downturns: Morgan Stanley's operations are inherently exposed to broad market fluctuations, global economic shifts, and geopolitical tensions. Factors such as changes in market prices, interest rates, and overall market liquidity can lead to losses for positions or portfolios. Economic downturns and shifts in global economic growth forecasts can negatively impact investment banking revenues, trading income, and overall client activity.
- Intense Competition: The financial services industry, particularly in investment banking and asset management, is characterized by intense competition. Morgan Stanley continuously faces pressure from other financial institutions, which can impact its market share, profitability, and ability to attract and retain clients and talent.
AI Analysis | Feedback
The clear emerging threat to Morgan Stanley is the continued rise of digital-native wealth management firms and the broader trend of embedded finance.
These firms and trends represent a fundamental shift in how financial services, particularly wealth management and investment advice, are delivered and consumed. Digital-native wealth management platforms (often referred to as robo-advisors or hybrid models) offer lower-cost, technology-driven investment management and financial planning, attracting clients who prioritize convenience, transparency, and lower fees. This trend is amplified by embedded finance, where financial services are seamlessly integrated into non-financial platforms (e.g., investing tools within an e-commerce platform or social media app), capturing client relationships at the point of need and potentially bypassing traditional financial institutions altogether.
While Morgan Stanley has made acquisitions and developed its own digital capabilities (like E*TRADE), the overarching market shift towards these models puts significant pressure on its traditional, higher-margin human-advisor-centric wealth management business. It threatens to commoditize aspects of financial advice, drive down fee structures, and alter client acquisition strategies, particularly among younger, digitally-savvy generations and the mass affluent. This parallels historical examples like Netflix disrupting Blockbuster's physical distribution model or Uber challenging traditional taxi services by offering a more convenient, often lower-cost digital alternative.
AI Analysis | Feedback
Morgan Stanley's primary business segments are Wealth Management, Institutional Securities (encompassing Investment Banking and Sales & Trading), and Investment Management (Asset Management). The addressable market sizes for these key products and services are outlined below.Wealth Management
The global wealth management market was valued at approximately $1.8 trillion in 2023 and is projected to grow to $3.5 trillion by 2033. North America constituted the largest share of this market, accounting for about $937.45 billion in 2023. The U.S. wealth management market is expected to show significant growth, with a projected gain of $170.26 billion.Institutional Securities
Investment Banking
The global investment banking market size was estimated at $135.12 billion in 2024 and is forecast to reach $318.0 billion by 2033. Another estimate places the global market at $150.49 billion in 2025, expanding to $202.06 billion by 2029. For the U.S., the investment banking market is valued at $54.74 billion in 2025 and is projected to grow to $66.15 billion by 2030. North America, as a broader region, held approximately 40% of the global revenue, with a market size of about $54.05 billion in 2024.Sales & Trading (Fixed Income)
The fixed-income trading segment globally generated revenues of around $45 billion in 2025. Detailed revenue market sizes specifically for global or U.S. equities trading by financial institutions were not explicitly available in the provided information.Investment Management (Asset Management)
The global asset management market size was valued at $432.77 billion in 2024 and is projected to increase to $1,122.04 billion by 2032. The North American asset management market represented 36% of the global revenue share in 2024. Specifically, the U.S. asset management market is estimated to reach $184.89 billion in 2025.AI Analysis | Feedback
Morgan Stanley (MS) is expected to drive future revenue growth over the next 2-3 years through several key strategies and market trends:
- Continued Growth in Wealth Management: Morgan Stanley consistently emphasizes its wealth management division as a cornerstone of its growth strategy. The firm anticipates increased revenue from higher fee-based assets and robust net new asset inflows. For instance, in Q3 2025, Wealth Management reported strong net new assets of $81 billion and fee-based flows of $42 billion. The integration of E*TRADE's digital capabilities and workplace banking initiatives is expected to further expand its client base and boost fee income.
- Rebound in Investment Banking Activity: The company projects a continued rebound in investment banking, particularly in mergers and acquisitions (M&A) advisory and underwriting services (both equity and fixed income). Q4 2024 saw a significant increase in investment banking revenues driven by higher underwriting and M&A activity. Similarly, Q3 2025 results showed a strong rebound in investment banking activity, with increased client engagement in capital-raising opportunities and completed M&A transactions.
- Strong Performance in Institutional Securities (Equity and Fixed Income Trading): Morgan Stanley has demonstrated strong performance in its institutional securities segment, particularly in equity and fixed income trading. This growth is supported by increased client activity and favorable market conditions, especially in Asia and the Americas.
- Strategic Technology Investments and Digital Assets: Morgan Stanley is actively investing in technology and digital capabilities to enhance its offerings and client reach. This includes leveraging platforms like E*TRADE for self-directed and advisor-led channels, expanding collaborations in private markets, and exploring opportunities in digital assets. Advancements in AI and digital asset capabilities were highlighted in Q3 2025 earnings.
AI Analysis | Feedback
Share Repurchases
- Morgan Stanley reauthorized a multi-year common equity share repurchase program of up to $20 billion, without a set expiration date, beginning in the third quarter of 2024.
- This $20 billion multi-year share repurchase program was reauthorized again in July 2025, with no set expiration date, commencing in Q3 2025.
- In fiscal year 2024, Morgan Stanley repurchased $4.2 billion of common stock.
Share Issuance
- Morgan Stanley's shares outstanding declined by 2.13% in 2024 from 2023, by 3.91% in 2023 from 2022, and by 5.57% in 2022 from 2021, indicating net repurchases over issuances in these years.
Outbound Investments
- In October 2020, Morgan Stanley completed the acquisition of E*Trade for $13 billion.
- In March 2021, the company completed the acquisition of Eaton Vance for $7 billion.
- In October 2025, Morgan Stanley announced an agreement to acquire EquityZen, a private shares platform, to enhance its private markets ecosystem.
Capital Expenditures
- Morgan Stanley's capital expenditure for fiscal year 2024 was -$3.46 billion.
- Capital expenditures have been a significant factor in Morgan Stanley's negative free cash flow in recent years, including -$2.10 billion in FY 2024.
- These capital expenditures primarily focus on investments in property, plant, and equipment, as well as infrastructure and technology enhancements.
Latest Trefis Analyses
| Title | |
|---|---|
| ARTICLES |
Trade Ideas
Select ideas related to MS. For more, see Trefis Trade Ideas.
| Date | Ticker | Company | Category | Trade Strategy | 6M Fwd Rtn | 12M Fwd Rtn | 12M Max DD |
|---|---|---|---|---|---|---|---|
| 11212025 | WU | Western Union | Dip Buy | DB | FCFY OPMDip Buy with High FCF Yield and High MarginBuying dips for companies with high FCF yield and meaningfully high operating margin | 14.5% | 14.5% | -0.4% |
| 11212025 | COIN | Coinbase Global | Monopoly | MY | Getting CheaperMonopoly-Like with P/S DeclineLarge cap with monopoly-like margins or cash flow generation and getting cheaper based on P/S multiple | -1.5% | -1.5% | -1.5% |
| 11142025 | PYPL | PayPal | Dip Buy | DB | FCFY OPMDip Buy with High FCF Yield and High MarginBuying dips for companies with high FCF yield and meaningfully high operating margin | -4.5% | -4.5% | -7.5% |
| 11142025 | V | Visa | Monopoly | MY | Getting CheaperMonopoly-Like with P/S DeclineLarge cap with monopoly-like margins or cash flow generation and getting cheaper based on P/S multiple | 7.6% | 7.6% | -2.7% |
| 11072025 | WD | Walker & Dunlop | Dip Buy | DB | P/E OPMDip Buy with Low PE and High MarginBuying dips for companies with tame PE and meaningfully high operating margin | -11.1% | -11.1% | -12.1% |
Research & Analysis
Invest in Strategies
Wealth Management
Peer Comparisons for Morgan Stanley
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 130.01 |
| Mkt Cap | 285.3 |
| Rev LTM | 60,972 |
| Op Inc LTM | 11,544 |
| FCF LTM | 7,327 |
| FCF 3Y Avg | 7,366 |
| CFO LTM | 8,590 |
| CFO 3Y Avg | 8,697 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 7.4% |
| Rev Chg 3Y Avg | 3.2% |
| Rev Chg Q | 9.4% |
| QoQ Delta Rev Chg LTM | 2.1% |
| Op Mgn LTM | 17.7% |
| Op Mgn 3Y Avg | 16.4% |
| QoQ Delta Op Mgn LTM | 0.1% |
| CFO/Rev LTM | 14.6% |
| CFO/Rev 3Y Avg | 17.1% |
| FCF/Rev LTM | 11.6% |
| FCF/Rev 3Y Avg | 12.1% |
Price Behavior
| Market Price | $181.87 | |
| Market Cap ($ Bil) | 285.7 | |
| First Trading Date | 02/23/1993 | |
| Distance from 52W High | 0.0% | |
| 50 Days | 200 Days | |
| DMA Price | $168.25 | $142.54 |
| DMA Trend | up | up |
| Distance from DMA | 8.1% | 27.6% |
| 3M | 1YR | |
| Volatility | 24.0% | 30.8% |
| Downside Capture | 103.03 | 123.07 |
| Upside Capture | 146.53 | 142.67 |
| Correlation (SPY) | 63.1% | 82.5% |
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 1.25 | 1.22 | 1.22 | 1.20 | 1.31 | 1.22 |
| Up Beta | 1.10 | 1.57 | 1.46 | 1.38 | 1.16 | 1.16 |
| Down Beta | 0.80 | 0.94 | 0.95 | 1.07 | 1.49 | 1.36 |
| Up Capture | 152% | 142% | 148% | 147% | 176% | 178% |
| Bmk +ve Days | 12 | 25 | 38 | 73 | 141 | 426 |
| Stock +ve Days | 10 | 21 | 35 | 76 | 139 | 405 |
| Down Capture | 125% | 111% | 114% | 102% | 116% | 104% |
| Bmk -ve Days | 7 | 16 | 24 | 52 | 107 | 323 |
| Stock -ve Days | 9 | 20 | 27 | 49 | 109 | 344 |
[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
Based On 1-Year Data
| Comparison of MS With Other Asset Classes (Last 1Y) | |||||||
|---|---|---|---|---|---|---|---|
| MS | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | 51.5% | 16.3% | 17.8% | 72.1% | 8.6% | 4.4% | -8.2% |
| Annualized Volatility | 30.6% | 19.0% | 19.4% | 19.3% | 15.2% | 17.0% | 35.0% |
| Sharpe Ratio | 1.37 | 0.67 | 0.72 | 2.70 | 0.34 | 0.09 | -0.08 |
| Correlation With Other Assets | 84.4% | 82.5% | 2.4% | 30.1% | 56.3% | 31.2% | |
ETFs used for asset classes: Sector ETF = XLF, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 5-Year Data
| Comparison of MS With Other Asset Classes (Last 5Y) | |||||||
|---|---|---|---|---|---|---|---|
| MS | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | 27.0% | 16.1% | 14.7% | 18.7% | 11.5% | 4.6% | 30.8% |
| Annualized Volatility | 28.4% | 18.9% | 17.1% | 15.5% | 18.7% | 18.9% | 48.6% |
| Sharpe Ratio | 0.87 | 0.71 | 0.70 | 0.97 | 0.50 | 0.16 | 0.57 |
| Correlation With Other Assets | 81.8% | 68.3% | 3.3% | 21.2% | 50.2% | 28.1% | |
ETFs used for asset classes: Sector ETF = XLF, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 10-Year Data
| Comparison of MS With Other Asset Classes (Last 10Y) | |||||||
|---|---|---|---|---|---|---|---|
| MS | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | 22.3% | 13.2% | 14.8% | 15.3% | 7.0% | 5.3% | 69.2% |
| Annualized Volatility | 31.8% | 22.3% | 18.0% | 14.7% | 17.6% | 20.8% | 55.8% |
| Sharpe Ratio | 0.71 | 0.55 | 0.71 | 0.86 | 0.32 | 0.22 | 0.90 |
| Correlation With Other Assets | 87.6% | 75.3% | -7.2% | 29.5% | 54.5% | 18.8% | |
ETFs used for asset classes: Sector ETF = XLF, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Returns Analyses
Earnings Returns History
Expand for More| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 10/15/2025 | 4.7% | 2.5% | 10.1% |
| 7/16/2025 | -1.3% | -1.1% | 5.1% |
| 4/11/2025 | 1.4% | 2.4% | 20.2% |
| 1/16/2025 | 4.0% | 5.6% | 7.1% |
| 10/16/2024 | 6.5% | 5.4% | 19.2% |
| 7/16/2024 | 0.9% | -2.7% | -7.3% |
| 1/16/2024 | -4.2% | -4.4% | -5.5% |
| 10/18/2023 | -6.8% | -10.9% | 0.4% |
| ... | |||
| SUMMARY STATS | |||
| # Positive | 15 | 12 | 18 |
| # Negative | 8 | 11 | 5 |
| Median Positive | 2.5% | 5.4% | 8.4% |
| Median Negative | -2.0% | -2.7% | -5.5% |
| Max Positive | 6.6% | 9.6% | 21.4% |
| Max Negative | -6.8% | -10.9% | -7.3% |
SEC Filings
Expand for More| Report Date | Filing Date | Filing |
|---|---|---|
| 09/30/2025 | 11/03/2025 | 10-Q (09/30/2025) |
| 06/30/2025 | 08/04/2025 | 10-Q (06/30/2025) |
| 03/31/2025 | 05/05/2025 | 10-Q (03/31/2025) |
| 12/31/2024 | 02/21/2025 | 10-K (12/31/2024) |
| 09/30/2024 | 11/04/2024 | 10-Q (09/30/2024) |
| 06/30/2024 | 08/05/2024 | 10-Q (06/30/2024) |
| 03/31/2024 | 05/03/2024 | 10-Q (03/31/2024) |
| 12/31/2023 | 02/22/2024 | 10-K (12/31/2023) |
| 09/30/2023 | 11/03/2023 | 10-Q (09/30/2023) |
| 06/30/2023 | 08/03/2023 | 10-Q (06/30/2023) |
| 03/31/2023 | 05/02/2023 | 10-Q (03/31/2023) |
| 12/31/2022 | 02/24/2023 | 10-K (12/31/2022) |
| 09/30/2022 | 11/03/2022 | 10-Q (09/30/2022) |
| 06/30/2022 | 08/05/2022 | 10-Q (06/30/2022) |
| 03/31/2022 | 05/04/2022 | 10-Q (03/31/2022) |
| 12/31/2021 | 02/24/2022 | 10-K (12/31/2021) |
External Quote Links
| Y Finance | Barrons |
| TradingView | Morningstar |
| SeekingAlpha | ValueLine |
| Motley Fool | Robinhood |
| CNBC | Etrade |
| MarketWatch | Unusual Whales |
| YCharts | Perplexity Finance |
| FinViz |
Prefer one of these to Trefis? Tell us why.
