Morgan Stanley MS
- Market cap
- $309.4B
- P/E
- 15.7×
Follow MS
Target Price Range
Analyst price targets
Free account| 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | 2027 | 2028 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 21.16 | 40.06 | 36.74 | 38.76 | 27.20 | 66.85 | 72.05 | 69.42 | 83.09 | 94.33 |
Analyst estimates 2026–2028 Powerpack |
Low Price
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| 44.04 | 54.25 | 59.38 | 51.44 | 68.97 | 105.95 | 109.73 | 100.99 | 136.24 | 182.34 |
High Price
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| 55,311 | 57,633 | 60,348 | 60,431 | 68,000 | 75,000 | 82,000 | 80,000 | 80,000 | 82,992 |
Employees
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| 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 |
Revenue/Emp
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| 37,949 | 43,642 | 50,193 | 53,942 | 52,606 | 61,121 | 65,936 | 91,762 | 107,285 | 119,662 |
Revenue
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| 94.94% | 95.20% | 95.23% | 95.38% | 94.43% | 94.53% | 94.76% | 96.21% | 96.14% | 96.09% |
Gross Margin
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| 8,848 | 10,403 | 11,237 | 11,301 | 14,418 | 19,668 | 14,089 | 11,813 | 17,596 | 21,954 |
EBT
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| 23.32% | 23.84% | 22.39% | 20.95% | 27.41% | 32.18% | 21.37% | 12.87% | 16.40% | 18.35% |
EBT Margin
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| 6,123 | 6,216 | 8,883 | 9,237 | 11,179 | 15,120 | 11,179 | 9,230 | 13,529 | 17,025 |
Net Income
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| 1,736 | 1,753 | 1,844 | 2,643 | 3,769 | 4,216 | 3,998 | 4,256 | 5,161 | 4,658 |
Depreciation
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| 20.52 | 24.52 | 29.39 | 33.36 | 32.82 | 34.24 | 38.99 | 56.36 | 67.43 | 76.02 |
Revenue/Sh
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| 2.98 | 3.16 | 4.81 | 5.26 | 6.55 | 8.16 | 6.23 | 5.24 | 8.04 | 10.32 |
Earnings/Sh
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| 2.91 | (2.53) | 4.28 | 25.22 | (15.74) | 19.03 | (3.78) | (20.60) | 0.86 | (11.37) |
Cash Flow/Sh
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| (0.69) | (0.92) | (1.09) | (1.13) | (0.90) | (1.29) | (1.82) | (2.10) | (2.18) | (1.84) |
Capex/Sh
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| 2.22 | (3.45) | 3.19 | 24.09 | (16.64) | 17.74 | (5.60) | (22.70) | (1.32) | (13.21) |
Free CF/Sh
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| 41.74 | 44.08 | 47.66 | 51.14 | 64.35 | 59.72 | 59.86 | 61.41 | 66.27 | 71.57 |
Book Value/Sh
|
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| 1,849 | 1,780 | 1,708 | 1,617 | 1,603 | 1,785 | 1,691 | 1,628 | 1,591 | 1,574 |
Shares
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| 14.40 | 16.57 | 8.26 | 9.72 | 10.51 | 12.03 | 13.80 | 17.99 | 15.62 | 17.20 |
PE Ratio
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| 2.10 | 2.13 | 1.35 | 1.53 | 2.09 | 2.87 | 2.20 | 1.67 | 1.86 | 2.34 |
PS Ratio
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| 1.14 | 1.33 | 0.93 | 1.11 | 1.17 | 1.77 | 1.57 | 1.68 | 2.09 | 2.72 |
PB Ratio
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| (1.56) | (0.07) | (0.89) | (0.03) | (0.14) | 0.51 | 0.12 | 1.04 | 1.31 | 2.04 |
EV/Sales
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| (14.42) | 0.52 | (8.21) | (0.04) | 0.28 | 0.98 | (0.80) | (2.59) | (67.16) | (11.76) |
EV/FCF
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| 5,383 | (4,505) | 7,305 | 40,773 | (25,231) | 33,971 | (6,397) | (33,536) | 1,362 | (17,889) |
Op' Cash Flow
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| (1,276) | (1,629) | (1,865) | (1,826) | (1,444) | (2,308) | (3,078) | (3,412) | (3,462) | (2,898) |
Capex
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| 4,107 | (6,134) | 5,440 | 38,947 | (26,675) | 31,663 | (9,475) | (36,948) | (2,100) | (20,787) |
FCF
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| (126,797) | (131,709) | (111,555) | (156,878) | (213,021) | (186,826) | (173,209) | (210,171) | (148,703) | (182,023) |
Working Cap'
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| 165,716 | 192,582 | 189,662 | 192,627 | 217,079 | 233,127 | 238,058 | 263,732 | 288,819 | 348,935 |
Total Debt
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| (138,835) | (96,081) | (112,369) | (84,317) | (117,200) | (144,310) | (137,350) | (57,331) | (58,991) | (34,911) |
Net Debt
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| 77,177 | 78,466 | 81,406 | 82,697 | 103,149 | 106,598 | 101,231 | 99,982 | 105,428 | 112,652 |
Sh' Equity
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| 0.69% | 0.67% | 0.96% | 0.97% | 1.04% | 1.26% | 0.89% | 0.72% | 1.06% | 1.23% |
ROA
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| 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 72.44% | 84.95% | 57.06% |
ROIC
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| 7.96% | 8.01% | 11.51% | 11.58% | 12.49% | 15.11% | 11.02% | 9.29% | 13.70% | 16.37% |
ROE
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Morgan Stanley peers in Capital Markets
| Company | Market cap | P/E | Compare |
|---|---|---|---|
| GS The Goldman Sachs Group, Inc. | $269.9B | 14.3× | Compare |
| SCHW The Charles Schwab Corporation | $171.9B | 17.9× | Compare |
| HOOD Robinhood Markets, Inc. | $109.1B | 51.7× | Compare |
| IBKR Interactive Brokers Group, Inc. | $40.9B | 35.3× | Compare |
| Company | Market cap | P/E | Compare |
|---|---|---|---|
| NMR Nomura Holdings Inc ADR | $28.6B | 10.3× | Compare |
| LPLA LPL Financial Holdings Inc. | $23.8B | 25.0× | Compare |
| TW Tradeweb Markets Inc. | $23.7B | 24.1× | Compare |
| CRCL Circle Internet Group, Inc. | $23.6B | 46.6× | Compare |
MS metrics, ten years each
- Revenue
- Net income
- EBITDA
- Free cash flow
- Operating cash flow
- Gross margin
- Operating margin
- Net margin
- Free cash flow margin
- P/E ratio
- P/S ratio
- P/B ratio
- Price to free cash flow
- EV/EBITDA
- EV/Sales
- Return on equity
- Return on assets
- Return on invested capital
- Debt to equity
- Current ratio
- Total debt
- Shares outstanding
- Book value per share
- Revenue growth
Morgan Stanley (MS) key facts
- Morgan Stanley (MS) is a Capital Markets company in the Financial sector, listed on the New York Stock Exchange.
- Morgan Stanley’s revenue for fiscal 2025 (year ended December 2025) was $119.7 billion, up 11.5% from fiscal 2024.
- As of September 25, 2026, MS traded at $196.31, a market capitalization of $309.4 billion.
- Morgan Stanley pays an annual dividend of $3.40 per share, a yield of 4.12%, with a payout ratio of 54.5%.
- Return on equity was 16.4% and debt-to-equity 3.34.
Morgan Stanley (MS) Latest News
26 Sep
Morgan Stanley has partnered with prediction market platform NEXTPredict as a publicly named institutional collaborator and will be a strategic partner at the upcoming NEXTPredict summit, leading discussions on institutional adoption of prediction markets. It marks the first time a major Wall Street bank publicly aligns with a prediction-market initiative focused on this asset class. The move supports Morgan Stanley's aim to leverage its large client asset base and technology spend to convert information into advisory and new fee-based revenue across retail and institutional clients, including AI and private markets work. Monetisation remains unsettled, with questions about whether clients will pay enough to offset regulatory complexity, fee pressures, and existing risks around dividends and insider selling. Rivals such as JPMorgan and Goldman Sachs are pursuing similar areas, underscoring a broader industry interest in this space. Presents a strategic, potentially long-term productivity and revenue opportunity, but monetisation and regulatory risks temper its near-term impact.
25 Sep
Morgan Stanley will join NEXTPredict as a strategic partner at the New York summit, leading a day-two panel on institutional capital and becoming the first bank to publicly back a prediction-market initiative. The session will examine what could draw institutional money, and the market structure, risks and participation hurdles involved. Stephen Grambling, MS’s head of U.S. gaming, lodging and leisure research, says institutional participation will depend on a clear understanding of opportunity and risk, plus regulatory clarity as state lawsuits develop. MS has previously participated in Kalshi’s $1B Series F and its wealth arm studied the sector. Kalshi’s reported valuation sits around $40B, Polymarket about $20B, and DraftKings near $13B. Lindh notes banks want non-sports, enterprise applications and hedging tools, but await regulatory clarity before deep participation. Signals a potential strategic shift toward institutional hedging tools and new revenue opportunities, contingent on regulatory clarity.
Zach Solomon, Morgan Stanley's co-head of public finance investment banking, has left to join TD Securities, Bloomberg cited as the source. Solomon, who confirmed the move, led Morgan Stanley's public-finance work on more than $5 billion in Brightline bond sales before the Florida rail project's bankruptcy filing. Morgan Stanley declined comment; TD Securities did not respond. Solomon's departure comes as TD expands its municipal-bond operations and strengthens its U.S. public-finance footprint, following the recruitment of other municipal-bond staff from JPMorgan Chase and Cantor Fitzgerald. Brightline filed for Chapter 11, though its operating company remains separate from the bankruptcy, and the trains continue to run during restructuring. The transfer underscores TD Securities' push into municipal finance as the sector faces ongoing financing challenges. Loss of a senior public-finance leader with Brightline ties could moderately disrupt Morgan Stanley's municipal finance capabilities and client relationships.
Morgan Stanley’s currency team admits they misread the dollar, previously forecasting a weaker greenback as U.S. rates converged with peers. They now forecast a stronger dollar, lifting targets to DXY about 102 this year, EURUSD near 1.12, GBPUSD around 1.30, and USDJPY about 159. The shift reflects higher-for-longer U.S. rates, solid U.S. data and a hawkish Fed, amid elevated energy prices. Carry trades funded in low-yielding currencies—yen, euro, Swiss franc—could drive much of the rally, while commodity currencies may outperform and the pound stay soft. They warn shocks like a Trump tariff move or yen intervention could reverse bets. Overall, USD strength remains the base case, though moves aren’t large; they keep a long USDJPY stance with a 150 stop. Market pricing for additional hikes through year-end is noted. Revising to a stronger-dollar view may enhance Morgan Stanley’s FX-research influence but is unlikely to meaningfully change its earnings trajectory.
Morgan Stanley updated its UK rate view, now forecasting two 25-bp BoE hikes in November and February, arguing fiscal policy is the key potential trigger for a tighter path beyond that. The bank says gilt yields remain sensitive to commodity moves, energy prices and geopolitical developments, and that near-term tightening hinges on a front-loaded fiscal stance. Its headroom for fiscal consolidation is roughly £8 billion, with possible reductions if day‑to‑day spending rises; it suggests £10‑£15 billion of revenue-raising measures may be needed to lift the surplus toward £15 billion without more cuts. A Financial Times piece implying only partial headroom rebuild could temper near-term consolidation. The forecast path is more aggressive than the front end currently prices in, but two-sided risks persist amid Budget uncertainty and gilt supply considerations. Two BoE hikes and fiscal headroom dynamics could influence global yields and market sentiment, indirectly impacting MS.
Jim Cramer often praises Morgan Stanley (MS), noting upside from M&A growth once conditions normalize and complimenting Ted Pick as a standout leader while contrasting MS with peers. In Q2, Wealth Management accounted for about 41.5% of revenue, with the segment up 14% year over year and total revenue rising 27%. Strong markets fueled a 69% surge in equities trading to $6.3 billion, and the wealth arm added roughly $148 billion in revenue, boosting visibility into the bank’s trajectory. Still, Wealth Management margins were flat at 30.5%, implying a plateau unless asset growth accelerates. Hedge fund sentiment warmed, with 86 funds holding MS vs 80 in Q1, and Viking Global added a $339 million stake. Valuation sits around 15x forward earnings (vs Goldman at about 13x), with negligible short interest. Risks include market volatility and potential slowdowns in high-yield flows. Steady growth in wealth mgmt and trading suggests moderate upside, but flat margins and market dependence temper upside.
24 Sep
Morgan Stanley is dealing with fallout after an Asia-Pacific head of financial sponsors accidentally emailed an internal document listing more than 100 investment-banking mandates and prospects in Asia, including potential IPOs in China, South Korea and India. The file, focused mainly on Asia but touching Europe, the Middle East and Africa, named private equity and pension fund backers and flagged paused projects. The email was sent this week by Mohamed Atmani, a Hong Kong‑based MD who joined the bank in 2018, who later tried to recall it. A blurred version appeared on Instagram. The bank said client confidentiality is treated with utmost seriousness and that steps have been taken to address the inadvertent sharing; it’s unclear whether any clients or affected parties have contacted Morgan Stanley. Unauthorized email exposing price-sensitive Asia deal information could erode client trust and invite regulatory scrutiny, weighing on near-term sentiment.
Morgan Stanley is undertaking damage-control after an accidental leak disclosed a list of deals it had been monitoring. The leak exposed potential transactions and market expectations, prompting the bank to review information-security controls, communicate with clients and counterparties, and manage reputational risk as regulators and competitors watch for missteps. The episode highlights governance gaps and could influence sentiment around MS's dealmaking transparency and risk management, even though no deals were announced. Exposure of the monitored deal list raises governance and information-security concerns that could spill into investor confidence and perception of MS's risk controls.
23 Sep
Morgan Stanley faces AI-driven fee pressure as robo-advisors intensify fee comparisons, while a confidential deal-data leak prompts governance scrutiny. The stock has cooled, with a 30-day return around -7.3% and a 90-day return around -10.3%, though 1-year TSR sits near 28.5% and 3-year TSR about 1.7x, signaling longer-term momentum. The debate centers on whether the pullback creates a fair-value entry: the shares closed near a fair-value estimate but still sit roughly 19% below the average analyst target. Bulls argue the company benefits from scale, capital strength, and durable advisory fees amid rising global wealth, with about $10 trillion in client assets and 20 million workplace relationships providing potential for higher recurring revenue. Risks include adviser poaching eroding wealth margins and fee compression from passive products. Investors are urged to weigh rewards and warning signs and compare to undervalued peers. AI-driven fee pressure and a confidential deal-data leak threaten recurring revenue and governance trust, potentially altering margins and investor sentiment.
Morgan Stanley argues the market isn’t valuing SpaceX correctly; its worth lies in its AI stack and its Tesla link, not rocket revenue. SpaceX and Tesla are two halves of a single, vertically integrated AI platform: Tesla is the hardware and real-world layer, while SpaceX supplies compute, connectivity, and capital. The bank says the real edge comes from deploying AI in the physical economy via Starlink, Megapack storage, and the coming Cybercabs and Optimus robots, which also generate diverse real-world data for xAI. This shifts competition away from frontier-model scores toward cost-efficient AI deployment. If SpaceX and Tesla stay aligned, a $300 target for SpaceX (and $400 for Tesla) is plausible, with nine months of insider unlocks likely; the thesis envisions a long-term re-rating should dominance persist. Synergy between SpaceX and Tesla could meaningfully alter investor sentiment and SpaceX’s trajectory, signaling a substantial re-rating potential.
Morgan Stanley says AI adoption has barely begun, with current spending infrastructure-led while corporate adoption is just getting started. 'We’re at the national anthem' phase, says Dan Skelly of Morgan Stanley Wealth Management, who notes the top adopters may have taken the first steps but earnings benefits are still ahead. The bank differentiates infrastructure spend from adoption impact, predicting meaningful earnings gains will appear later as AI diffuses broadly. It cites accelerating demand at conferences and that about 25% of S&P 500 reported measurable AI benefits in Q2, up from 14% a year earlier, meaning most firms have yet to realize gains. Nvidia leads the cycle; cloud backlog for Google, Microsoft, and Amazon rose to $1.69 trillion in Q2. MS advises staying biased toward high-quality Magnificent Seven names. AI benefits are still early and earnings impact is limited, reinforcing a cautious, long-horizon outlook.
Morgan Stanley projects a roughly 33-gigawatt U.S. power shortfall through 2028, even after onsite generation and other accelerated solutions. Behind-the-meter generation and equipment suppliers form the bridge. Bloom Energy (BE) places on-site fuel cells to add megawatts quickly, buying time for transmission and larger projects. GE Vernova (GEV) sells turbines and grid gear for large-scale generation with multi-year visibility but longer lead times. Bloom’s Q2 revenue topped $1 billion; the company guides $3.9–$4.2 billion for the year, supporting a speed-of-deployment thesis. GE Vernova’s backlogs imply durable, multi-year power investment, though projects can take years. The contrast suggests the AI-power theme could lift broadly, with speed-focused or scale-focused bets performing differently. Some AI stocks may offer greater upside or less risk. Long-run power-shortfall risk could shift investor focus toward energy infrastructure, influencing Morgan Stanley's outlook and research coverage.
An internal Morgan Stanley document listing more than 100 investment-banking deals in Asia was leaked via email by a staffer, exposing prospective IPO candidates across China, South Korea and India, plus private equity and pension-fund backers and on-hold projects. A blurred copy circulated on Instagram. The list focuses on Asia, with some Europe, the Middle East and Africa, and shows the bank’s pipeline and monitoring activity. Morgan Stanley said it takes client confidentiality seriously and has taken steps to address the inadvertent sharing. The leak highlights the sensitivity of deal information in investment banking and could invite regulatory scrutiny and reputational damage, even as the firm remains a top underwriter in Asia. Exposure of confidential deal-pipeline data could erode client trust and invite regulatory scrutiny, potentially denting underwriting activity in the near term, hence a moderate impact score.
22 Sep
Morgan Stanley joined Accelevation's planned $720 million IPO as an underwriter, with Accelevation aiming to sell 30 million shares at $20-$24, valuing the AI data-center infrastructure supplier around $5.37 billion. The deal comes as MS posted a 70.2% jump in Q2 equity-underwriting revenue to $851 million. MS shares fell about 3.4% to $199.14 on Tuesday morning. The top-price range would imply the offering equals roughly 13.4% of Accelevation's targeted valuation, expanding the stock's public float and testing investor appetite for AI infra plays. Separately, Morgan Stanley trades about 11.7% above its GF Value estimate of $178.27, highlighting a valuation warning amid a rebound in deal activity across Wall Street. The report underscores AI infrastructure fueling underwriting momentum even as valuations and deal-risk remain in flux. Underwriting a high-profile AI IPO and a surge in Q2 underwriting revenue imply a modest uplift to MS's near-term earnings potential without signaling a fundamental change to its long-term trajectory.
MS closed at 200.22, down 2.86% in the latest session as the Dow fell and the Nasdaq rose. The stock has slipped 3.72% over the past month, underperforming the Finance sector (-1.11%) and the S&P 500 (+1.27%). Investors await MS's earnings release on October 14, 2026, with projected Q3 EPS of $3.06, up 9.29% year over year, and revenue of about $19.88 billion, up 9.07%. For the full year, consensus calls for $12.82 per share on $81.87 billion revenue, representing roughly 25.6% and 15.9% growth, respectively. Zacks ranks MS #2 (Buy) aided by positive estimate revisions. Valuation shows a forward P/E of 16.07, above the industry 13.74, and a PEG of 1.42 versus 0.98 industry-wide. The piece notes industry rankings and promotes Zacks resources. Upcoming earnings and consensus revisions could meaningfully affect near-term MS stock trajectory.
Morgan Stanley argues the market is entering a mid-cycle phase that favors large-cap, high-quality stocks as earnings season nears. Strategy chief Mike Wilson recommends sticking to large-cap quality amid higher rates and a slowing valuation backdrop. The bank identified 15 U.S. stocks meeting its quality criteria and bearing overweight ratings, including Nvidia, Micron, Apple, SanDisk, Visa, Mastercard, Costco, Coca-Cola, Lam Research, Arista Networks, Gilead Sciences, Seagate, Booking Holdings, UnitedHealth, and ServiceNow. To make the list, companies had to rank among the 1,000 largest by market value, show higher earnings estimates than three months ago, sit in Morgan Stanley’s top-quality bucket, and receive an overweight from its analysts. The move reflects a view that strong earnings growth can matter more than multiple expansion in mid-cycle conditions, with sectors like software, financial services, healthcare, and consumer staples potentially driving momentum as AI-related spending supports earnings growth. Shifts toward quality-focused, earnings-driven leadership could influence market sentiment and MS's positioning without immediate, dramatic changes to its core business.
Goldman Sachs aims to lift its revenue base to roughly $70 billion in 2026, up from the mid-$30 billion level when its multi-year strategy began in 2018–19. At Barclays' conference, CEO David Solomon cited two core franchises—Global Banking & Markets and Asset & Wealth Management—as drivers of a more diversified, durable earnings mix. In the first half of 2026, GBM revenue rose 35% to $28.26 billion, led by investment banking and equities, while AWM grows as a recurring revenue engine with about $4 trillion in assets under supervision and a push into wealth management, alternatives and private credit, targeting a 30% margin and high-teen returns. Management expects roughly 6% revenue growth to translate into more than 10% earnings growth. 1H2026 revenues were up 27% YoY; consensus 2026 revenue is about $71.6 billion, broadly aligning with the target. Risks include market volatility and elevated investment spending. Peers JPMorgan and Morgan Stanley are also growing. Diversification into durable, high-margin franchises by Goldman could alter competition and investor sentiment toward Morgan Stanley.
21 Sep
Morgan Stanley warns that the AI power crunch is getting worse even as GPUs become more efficient. In a report titled Racking Up the Power Shortfall, the firm projects a 33 GW shortfall through 2028 (about 34% of net chip demand) and 72 GW by 2029. The driver is a jump in incremental data-center demand in 2026–28 from 68 GW to 97 GW, with 21 GW already under construction and only 19 GW of new grid capacity expected. Around 24 GW of alternatives are counted: 17 GW behind-the-meter natural gas, 5 GW Bloom Energy fuel cells, and 2 GW nuclear. The analysis assumes GPUs will lift tokens per watt ~6x, tokens per electricity ~5x, and tokens per chip ~15x, with Vera Rubin production costs down about 37%. Result: cheaper AI compute per unit, but higher absolute power use; select beneficiaries include data-center and energy players and certain states. Cheaper AI compute per unit but higher absolute power demand could shift investments toward data-center and energy infrastructure plays, affecting MS’s AI coverage and client opportunities.
Novartis’ pelacarsen trial failure casts doubt on Lp(a)-lowering drugs’ ability to cut cardiovascular events. Morgan Stanley argues Amgen’s olpasiran could deliver deeper Lp(a) reductions (up to 95–99%) and a different Phase 3 design (OCEAN(a)) that targets higher-risk patients (Lp(a) ≥200 nmol/L) and omits stroke as a trial endpoint. A September meeting with Amgen management at the Global Healthcare Conference clarified these nuances, suggesting Amgen’s broader pipeline—olpasiran, MariTide, and dazodalibep—still hinges on later readouts. Repatha remains Amgen’s main near-term driver, while generics pressure on Prolia/Enbrel and cost concerns temper upside. Morgan Stanley keeps Amgen at Equal-weight, highlighting upcoming data as key catalysts; the market reaction to the Novartis setback could hinge on whether olpasiran’s deeper Lp(a) reduction translates to real CV benefit. Shifts in Amgen’s pipeline assessment may influence MS’s stock coverage and investor sentiment but don’t change core business fundamentals.
Morgan Stanley refreshed its Vintage Values stock selections for 2027, spotlighting Alphabet and Coca-Cola alongside longtime holdings. The strategy’s 2026 model list delivered a 32.12% return from Sept. 9, 2025 to Sept. 11, 2026, beating the S&P 500’s 18.96% increase. From an initial pool of more than 50 names, analysts narrowed to 15 equities using a blend of quantitative factors, fundamentals, macro risk, sector positioning, valuations and risk-reward dynamics. The portfolio tilts toward large-cap growth with high quality metrics; about 60% rank in the top two quality brackets, versus 56% for the S&P. It carries an anti-momentum bias, favoring fundamentals and catalysts over recent performance. Other named additions include Apple, Dynatrace, Eli Lilly, Equinix and Williams Companies; final list also contains Amazon, Honeywell Aerospace, Keysight Technologies, Liberty Formula One, LPL Financial, McKesson, TransUnion, Visa. Daily moves noted: GOOGL +2%, KO -1%, AAPL +0.8%. An updated top-picks list could influence client allocations and MS's advisory credibility, a moderate effect on sentiment and assets under management.
Morgan Stanley projects a widening U.S. grid deficit to support AI-driven chip demand, estimating 33 GW of shortfall through 2028 (about 34% of net chip demand) and rising to 72 GW by 2029, signaling a need for substantial grid investment. The potential shortfall could create upside for AI-related stocks expected to benefit from stronger energy capacity. AI-driven grid expansion could create advisory and financing opportunities for MS, yielding a moderate impact on its outlook.
Morgan Stanley (MS) is presented as an attractive income stock. The shares have risen 14% this year, and the bank pays a quarterly dividend of $1.15 ($4.60 annualized) for a yield of 2.27%, above its industry and the S&P. Dividend growth is strong: up 19.5% this year and about 22.85% average annual growth over five years; payout ratio is 32% of trailing earnings. For 2026, Zacks projects EPS of $12.82, up 25.6% year over year. The piece frames MS as more than a dividend play—it's a compelling investment with a Zacks Rank of #2 (Buy)—while noting that dividends can face headwinds in rising-rate environments. It promotes Zacks’ research and stock picks. Solid dividend growth and earnings outlook for 2026 could moderately influence investor sentiment and MS's stock performance.
Morgan Stanley warns the S&P 500 could fall about 7% to 7,100 if financial conditions tighten or energy prices rise, with bond yields approaching 5% making equities less attractive. Diesel prices keep inflation embedded in the broader economy, aided by roughly 70% of U.S. freight moving by truck. AI stocks face two risks—a major security breach or a pullback in corporate AI spending—that could erase sector momentum. Optimism about AI's impact has faded, though inflation remains persistent and oil supply concerns persist due to Middle East tensions. The piece notes numerous factors could drive volatility and promotes a free Top 10 Stocks To Buy Now report from 24/7 Wall St. as it warns that inflation and energy costs could crimp consumer spending and GDP. Rising yields and energy-driven inflation could pressure MS's trading revenue and overall market sentiment toward its stock.
Morgan Stanley lifted its forecast for the US data-center power shortfall through 2028 to 33 GW after accounting for on-site generation and accelerated power solutions, with a residual gap of 34% of the 97 GW incremental demand. The shortfall before solutions rose to 57 GW (from 38 GW) after excluding 21 GW under construction and 19 GW of grid capacity. The revision reflects higher chip shipment estimates and a shift to rack-scale systems, including Nvidia Vera Rubin rack at 234 kW (up from 149 kW) and Rubin Ultra at 600 kW (from 415 kW). Rack-scale designs factor in memory, networking, power delivery and liquid cooling beyond GPU draw. The model shows midpoint shortfall rising from 5 GW in 2026 to 12 GW in 2027 and 33 GW in 2028; extending to 2029 yields 72 GW residual after accelerated power measures. Estimated supply from power solutions through 2028 is about 24 GW (19 from behind-the-meter, 6 from Bloom Energy, 3 from nuclear-site data centers). Highlights potential upside in MS's advisory and market leadership in AI infra, but does not alter its core earnings trajectory.
Morgan Stanley raised Palo Alto Networks' price target to $410 from $394, citing AI-driven security spending growth and potential consolidation among large platform providers. The firm kept an Overweight rating and named PANW its preferred stock in the cybersecurity space. It argues AI adoption will lift demand for security products, noting about 1.5% of enterprise AI investment is currently allocated to AI-related security and identifying AI security products, identity management and SIEM as growth areas. Morgan Stanley expects the global cybersecurity software market to reach around $300 billion by 2028, supported by AI-related security spending. It projects PANW to gain roughly 75 basis points of market share over the next two years, contrasting with consensus that it may lose about 50 bps. Risks include slower AI adoption and disruption from new AI tech; elevated valuations remain a factor. Boosts MS credibility in AI cybersecurity coverage and could enhance advisory opportunities without changing core earnings.
Morgan Stanley Investment Management's 1GT private climate equity strategy led a €49 million Series E for Amber Electric, an Australian energy-flexibility platform that optimizes home storage and usage. The round, which included E.ON, will fund Amber's growth and European expansion. Amber, founded in Melbourne in 2017, operates as an energy retailer and controls a leading share of automated batteries in Australia. Its Distributed Energy Resources platform real-time-optimizes rooftop solar, home batteries and EVs to access wholesale prices, while its SmartShift AI forecasts wholesale prices, solar production, and consumption to maximize customer earnings and grid efficiency. The investment provides growth capital, expertise, and a strategic partnership to meet rising demand for distributed energy resources and renewable integration. Amber’s founders emphasize expanding leadership in Europe, with MSIM highlighting energy flexibility as essential to decarbonization and decentralized power systems. Significant strategic implications for MSIM's climate private equity capabilities and future deal flow, though the financial impact is moderate relative to MSIM's overall scale.
20 Sep
Morgan Stanley downgraded Novo Nordisk (NVO) to Underweight on Sept. 11, 2026, arguing the Semaglutide-driven revenue cliff will erode terminal value by 2031 and that a 10x earnings multiple may already reflect pessimism. Semaglutide accounts for about 75% of 2026 revenue and is projected to remain a majority (~59%) of sales when patent protection expires in 2031. The firm warns that the patent cliff could trigger pricing pressure after 2031, especially if Novo’s oral obesity drug and pipeline fail to offset declines. MS also notes potential value from CagriSema and amycretin is unproven, while Novo continues to expand its franchise, with STEP Young delivering a positive endpoint in children. The stock trades around 10.6x earnings, down 33% from its 52-week high, supported by some hedge-fund accumulation despite bearish sentiment. Downgrade to Underweight on Novo Nordisk creates a moderate sentiment headwind for MS's pharma coverage and near-term market activity.
United Rentals raised its full-year guidance on stronger demand, citing higher activity in construction and industrial rental markets, improving utilization and better pricing. Revenue and earnings guidance were boosted, signaling sustained momentum into the back half of the year. The update comes amid a broader recovery in non-residential activity and equipment rental demand. Morgan Stanley weighed URI's valuation, asking whether the stock remains below fair value given the stronger demand backdrop and potential margin tailwinds, while flagging cyclicality risks and sensitivity to interest rates and capex cycles. The piece notes that URI's stock trades at a multiple richer than historical averages, depending on commodity cycles and utilization, implying that upside is contingent on the durability of demand. Trading and sentiment around URI moved following the update, with investors weighing the updated outlook against valuation. Indirect impact through market sentiment and valuation assessments rather than directly altering Morgan Stanley's earnings.
16 Sep
Morgan Stanley projects growth driven by wealth management expansion, AI-related financing, and rebounding deal activity. Wealth management growth, AI financing and deal rebound represent core strategic drivers that can materially lift Morgan Stanley revenue and valuation.
Morgan Stanley Investment Management plans to convert nearly $10 billion in municipal mutual funds to ETFs. Fund conversion marks a targeted product shift with moderate effects on operations and positioning.
Financial Analysis (summary)
Updated
Morgan Stanley reported revenue of $119.7 billion, net income of $17.0 billion and diluted EPS of $10.21 in FY2025. In Q2 FY2026, revenue was $34.5 billion, net income was $5.7 billion and diluted EPS was $3.46. Revenue over the TTM to Q2 FY2026 was $128.8 billion, while net income was $20.4 billion.
Profitability measures improved in FY2025, including a 59.3% operating margin and 16.4% return on equity. Cash flow remained negative, with free cash flow of −$20.8 billion in FY2025 and −$18.6 billion over the TTM to Q2 FY2026. Net debt was −$78.5 billion in Q2 FY2026.