International Business Machines (IBM)
Market Price (3/15/2026): $246.1 | Market Cap: $230.5 BilSector: Information Technology | Industry: IT Consulting & Other Services
International Business Machines (IBM)
Market Price (3/15/2026): $246.1Market Cap: $230.5 BilSector: Information TechnologyIndustry: IT Consulting & Other Services
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 7.3%, Dividend Yield is 2.7%, ERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is 3.3% | |
| Attractive cash flow generationCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is 20%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is 17%, CFO LTM is 13 Bil, FCF LTM is 11 Bil | |
| Low stock price volatilityVol 12M is 33% | |
| Megatrend and thematic driversMegatrends include Artificial Intelligence, Cloud Computing, Cybersecurity, and Crypto & Blockchain. Show more. |
| Attractive yieldTotal YieldTotal Yield = Earnings Yield + Dividend Yield, Earnings Yield = Net Income / Market Cap Dividend Yield = Total Dividends / Market Cap is 7.3%, Dividend Yield is 2.7%, ERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is 3.3% |
| Attractive cash flow generationCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is 20%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is 17%, CFO LTM is 13 Bil, FCF LTM is 11 Bil |
| Low stock price volatilityVol 12M is 33% |
| Megatrend and thematic driversMegatrends include Artificial Intelligence, Cloud Computing, Cybersecurity, and Crypto & Blockchain. Show more. |
Qualitative Assessment
AI Analysis | Feedback
1. Direct competitive threat from AI impacting IBM's mainframe business. The announcement by AI startup Anthropic on February 24, 2026, stating that its "Claude Code" tool could significantly simplify the modernization of COBOL systems, severely impacted IBM's stock. This news caused IBM's shares to plummet 13.2% in a single day and contributed to a total loss of 27% in value during February 2026. Investors perceived this as a direct threat to IBM's traditional mainframe business, a key revenue pillar, fearing that AI tools could diminish demand for their established infrastructure.
2. Broader tech sector volatility and rotation out of large-cap growth stocks. During the fourth quarter of 2025, the market experienced increased volatility in the tech sector, with some investors reassessing the "AI trade" and valuations. This led to a rotation of investments, causing large-cap growth stocks, including IBM, to underperform. The Morningstar US Large-Cap Growth Index, for instance, saw a return of -1.42% in Q4 2025, as investors shifted towards value stocks.
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Stock Movement Drivers
Fundamental Drivers
The -19.7% change in IBM stock from 11/30/2025 to 3/14/2026 was primarily driven by a -39.9% change in the company's P/E Multiple.| (LTM values as of) | 11302025 | 3142026 | Change |
|---|---|---|---|
| Stock Price ($) | 306.83 | 246.28 | -19.7% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 65,402 | 67,536 | 3.3% |
| Net Income Margin (%) | 12.1% | 15.7% | 29.7% |
| P/E Multiple | 36.2 | 21.8 | -39.9% |
| Shares Outstanding (Mil) | 934 | 936 | -0.3% |
| Cumulative Contribution | -19.7% |
Market Drivers
11/30/2025 to 3/14/2026| Return | Correlation | |
|---|---|---|
| IBM | -19.7% | |
| Market (SPY) | -3.1% | 39.7% |
| Sector (XLK) | -4.4% | 32.7% |
Fundamental Drivers
The 2.3% change in IBM stock from 8/31/2025 to 3/14/2026 was primarily driven by a 72.2% change in the company's Net Income Margin (%).| (LTM values as of) | 8312025 | 3142026 | Change |
|---|---|---|---|
| Stock Price ($) | 240.78 | 246.28 | 2.3% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 64,038 | 67,536 | 5.5% |
| Net Income Margin (%) | 9.1% | 15.7% | 72.2% |
| P/E Multiple | 38.4 | 21.8 | -43.3% |
| Shares Outstanding (Mil) | 931 | 936 | -0.6% |
| Cumulative Contribution | 2.3% |
Market Drivers
8/31/2025 to 3/14/2026| Return | Correlation | |
|---|---|---|
| IBM | 2.3% | |
| Market (SPY) | 3.0% | 40.5% |
| Sector (XLK) | 4.4% | 35.0% |
Fundamental Drivers
The 0.0% change in IBM stock from 2/28/2025 to 3/14/2026 was primarily driven by a -42.5% change in the company's P/E Multiple.| (LTM values as of) | 2282025 | 3142026 | Change |
|---|---|---|---|
| Stock Price ($) | 246.32 | 246.28 | 0.0% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 62,750 | 67,536 | 7.6% |
| Net Income Margin (%) | 9.6% | 15.7% | 63.4% |
| P/E Multiple | 37.9 | 21.8 | -42.5% |
| Shares Outstanding (Mil) | 926 | 936 | -1.1% |
| Cumulative Contribution | 0.0% |
Market Drivers
2/28/2025 to 3/14/2026| Return | Correlation | |
|---|---|---|
| IBM | -0.0% | |
| Market (SPY) | 12.4% | 45.5% |
| Sector (XLK) | 21.9% | 43.0% |
Fundamental Drivers
The 111.1% change in IBM stock from 2/28/2023 to 3/14/2026 was primarily driven by a 478.9% change in the company's Net Income Margin (%).| (LTM values as of) | 2282023 | 3142026 | Change |
|---|---|---|---|
| Stock Price ($) | 116.65 | 246.28 | 111.1% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 60,529 | 67,536 | 11.6% |
| Net Income Margin (%) | 2.7% | 15.7% | 478.9% |
| P/E Multiple | 64.4 | 21.8 | -66.2% |
| Shares Outstanding (Mil) | 906 | 936 | -3.3% |
| Cumulative Contribution | 111.1% |
Market Drivers
2/28/2023 to 3/14/2026| Return | Correlation | |
|---|---|---|
| IBM | 111.1% | |
| Market (SPY) | 73.4% | 42.2% |
| Sector (XLK) | 104.5% | 36.3% |
Price Returns Compared
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| IBM Return | 16% | 11% | 22% | 39% | 38% | -16% | 155% |
| Peers Return | 44% | -31% | 52% | 31% | 17% | -13% | 100% |
| S&P 500 Return | 27% | -19% | 24% | 23% | 16% | -1% | 80% |
Monthly Win Rates [3] | |||||||
| IBM Win Rate | 58% | 50% | 67% | 75% | 50% | 67% | |
| Peers Win Rate | 67% | 28% | 68% | 63% | 48% | 33% | |
| S&P 500 Win Rate | 75% | 42% | 67% | 75% | 67% | 33% | |
Max Drawdowns [4] | |||||||
| IBM Max Drawdown | -6% | -9% | -12% | -3% | -1% | -24% | |
| Peers Max Drawdown | -6% | -39% | -4% | -7% | -24% | -19% | |
| S&P 500 Max Drawdown | -1% | -25% | -1% | -2% | -15% | -2% | |
[1] Cumulative total returns since the beginning of 2021
[2] Peers: MSFT, AMZN, ORCL, ACN, GOOGL. See IBM 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] 2026 data is for the year up to 3/13/2026 (YTD)
How Low Can It Go
| Event | IBM | S&P 500 |
|---|---|---|
| 2022 Inflation Shock | ||
| % Loss | -20.2% | -25.4% |
| % Gain to Breakeven | 25.4% | 34.1% |
| Time to Breakeven | 356 days | 464 days |
| 2020 Covid Pandemic | ||
| % Loss | -39.0% | -33.9% |
| % Gain to Breakeven | 63.9% | 51.3% |
| Time to Breakeven | 974 days | 148 days |
| 2018 Correction | ||
| % Loss | -40.9% | -19.8% |
| % Gain to Breakeven | 69.1% | 24.7% |
| Time to Breakeven | 1,858 days | 120 days |
| 2008 Global Financial Crisis | ||
| % Loss | -44.8% | -56.8% |
| % Gain to Breakeven | 81.2% | 131.3% |
| Time to Breakeven | 398 days | 1,480 days |
Compare to MSFT, AMZN, ORCL, ACN, GOOGL
In The Past
International Business Machines's stock fell -20.2% during the 2022 Inflation Shock from a high on 6/11/2021. A -20.2% loss requires a 25.4% gain to breakeven.
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About International Business Machines (IBM)
AI Analysis | Feedback
IBM is like the Microsoft for large enterprise IT, providing critical software, hardware, and consulting services.
A combination of Accenture's IT consulting and Oracle's enterprise software and infrastructure, tailored for the world's biggest businesses.
AI Analysis | Feedback
Here are the major products and services offered by International Business Machines (IBM):
- Hybrid Cloud Platform & Software: Provides enterprise open-source solutions, including Red Hat, for hybrid cloud environments.
- Business Automation & AI Software: Offers software for business process automation, AIOps, IT management, data analytics, and artificial intelligence.
- Security Software & Services: Delivers solutions for threat, data, and identity security.
- Transaction Processing Software: Supports mission-critical, on-premise workloads for industries such as banking, airlines, and retail.
- Business & Technology Consulting: Provides strategic advice, business process design, data analytics, system integration, and technology consulting services.
- Application & Cloud Platform Services: Offers services for developing, deploying, and managing applications and cloud platforms.
- Server & Storage Hardware: Supplies on-premises and cloud-based server and storage solutions for mission-critical and regulated workloads.
- Hybrid Cloud Infrastructure Support: Provides support services and solutions for clients' hybrid cloud infrastructure.
- Financing Services: Offers lease, installment payment, loan financing, and short-term working capital financing for clients.
AI Analysis | Feedback
International Business Machines (symbol: IBM) primarily sells its integrated solutions and services to other companies (B2B) rather than individuals. While the provided background information does not list specific customer company names, it indicates that IBM's major customers operate in the following industries:- Banking
- Airlines
- Retail
AI Analysis | Feedback
International Business Machines (symbol: IBM) has the following major suppliers:
- GlobalFoundries (symbol: GFS)
- Micron Technology (symbol: MU)
- Western Digital (symbol: WDC)
AI Analysis | Feedback
nullAI Analysis | Feedback
nullAI Analysis | Feedback
The rapid advancements and widespread adoption of generative artificial intelligence (AI) technologies, such as large language models (LLMs), present a clear emerging threat. While IBM has a long history in AI with its Watson platform and offers "data and artificial intelligence solutions," the current paradigm shift driven by companies like OpenAI, Google, and Meta, with their highly capable and increasingly accessible generative AI models, is redefining the competitive landscape. If IBM's enterprise AI offerings do not effectively integrate and leverage these new, powerful capabilities, or if competitors deliver more compelling and performant generative AI solutions that address business problems more efficiently, IBM's market position in this critical and rapidly evolving technology domain could be significantly challenged.
AI Analysis | Feedback
nullAI Analysis | Feedback
nullAI Analysis | Feedback
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Latest Trefis Analyses
Trade Ideas
Select ideas related to IBM.
| Date | Ticker | Company | Category | Trade Strategy | 6M Fwd Rtn | 12M Fwd Rtn | 12M Max DD |
|---|---|---|---|---|---|---|---|
| 02282026 | BMI | Badger Meter | Insider | Insider Buys 45DStrong Insider BuyingCompanies with multiple insider buys in the last 45 days | 0.0% | 0.0% | 0.0% |
| 02282026 | VRNS | Varonis Systems | Insider | Insider Buys 45DStrong Insider BuyingCompanies with multiple insider buys in the last 45 days | 0.0% | 0.0% | 0.0% |
| 02272026 | ITRI | Itron | 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 | 0.0% | 0.0% | 0.0% |
| 02272026 | FSLR | First Solar | Dip Buy | DB | P/E OPMDip Buy with Low PE and High MarginBuying dips for companies with tame PE and meaningfully high operating margin | 0.0% | 0.0% | 0.0% |
| 02272026 | PEGA | Pegasystems | Dip Buy | DB | P/E OPMDip Buy with Low PE and High MarginBuying dips for companies with tame PE and meaningfully high operating margin | 0.0% | 0.0% | 0.0% |
| 10312018 | IBM | International Business Machines | 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 | 24.8% | 21.5% | -5.6% |
Research & Analysis
Invest in Strategies
Wealth Management
Peer Comparisons
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 226.97 |
| Mkt Cap | 1,334.2 |
| Rev LTM | 188,089 |
| Op Inc LTM | 49,732 |
| FCF LTM | 11,483 |
| FCF 3Y Avg | 18,021 |
| CFO LTM | 80,905 |
| CFO 3Y Avg | 66,660 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 11.7% |
| Rev Chg 3Y Avg | 10.8% |
| Rev Chg Q | 13.9% |
| QoQ Delta Rev Chg LTM | 3.5% |
| Op Mgn LTM | 25.2% |
| Op Mgn 3Y Avg | 23.5% |
| QoQ Delta Op Mgn LTM | 0.2% |
| CFO/Rev LTM | 28.0% |
| CFO/Rev 3Y Avg | 28.3% |
| FCF/Rev LTM | 16.6% |
| FCF/Rev 3Y Avg | 16.5% |
Valuation
| Median | |
|---|---|
| Name | |
| Mkt Cap | 1,334.2 |
| P/S | 5.3 |
| P/EBIT | 20.3 |
| P/E | 26.1 |
| P/CFO | 17.9 |
| Total Yield | 4.8% |
| Dividend Yield | 1.0% |
| FCF Yield 3Y Avg | 2.6% |
| D/E | 0.1 |
| Net D/E | 0.0 |
Returns
| Median | |
|---|---|
| Name | |
| 1M Rtn | -1.7% |
| 3M Rtn | -17.6% |
| 6M Rtn | -12.8% |
| 12M Rtn | 3.7% |
| 3Y Rtn | 104.8% |
| 1M Excs Rtn | 0.0% |
| 3M Excs Rtn | -17.4% |
| 6M Excs Rtn | -16.9% |
| 12M Excs Rtn | -17.1% |
| 3Y Excs Rtn | 27.7% |
Comparison Analyses
Segment Financials
Revenue by Segment| $ Mil | 2025 | 2024 | 2023 | 2022 | 2021 |
|---|---|---|---|---|---|
| Software | 27,085 | 25,011 | 25,037 | 23,426 | 22,927 |
| Consulting | 20,692 | 20,884 | 19,107 | 17,844 | 16,257 |
| Infrastructure | 14,020 | 14,593 | 15,288 | 14,188 | 14,533 |
| Financing | 713 | 741 | 645 | 774 | 975 |
| Other revenue | 207 | 235 | 135 | 335 | 387 |
| Other-divested businesses | 35 | 397 | 318 | 785 | 101 |
| Total | 62,752 | 61,861 | 60,530 | 57,352 | 55,180 |
Price Behavior
| Market Price | $246.28 | |
| Market Cap ($ Bil) | 230.0 | |
| First Trading Date | 01/02/1962 | |
| Distance from 52W High | -21.4% | |
| 50 Days | 200 Days | |
| DMA Price | $276.54 | $276.63 |
| DMA Trend | indeterminate | down |
| Distance from DMA | -10.9% | -11.0% |
| 3M | 1YR | |
| Volatility | 44.9% | 33.5% |
| Downside Capture | 196.63 | 103.12 |
| Upside Capture | 90.46 | 86.31 |
| Correlation (SPY) | 40.2% | 45.4% |
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 2.90 | 2.50 | 2.07 | 1.48 | 0.82 | 0.75 |
| Up Beta | 1.95 | 2.42 | 2.13 | 1.64 | 0.64 | 0.64 |
| Down Beta | 3.38 | 3.09 | 2.69 | 1.69 | 0.84 | 0.78 |
| Up Capture | 206% | 130% | 99% | 128% | 83% | 67% |
| Bmk +ve Days | 9 | 20 | 31 | 70 | 142 | 431 |
| Stock +ve Days | 10 | 20 | 32 | 71 | 138 | 424 |
| Down Capture | 385% | 294% | 234% | 139% | 106% | 91% |
| Bmk -ve Days | 12 | 21 | 30 | 54 | 109 | 320 |
| Stock -ve Days | 11 | 21 | 29 | 53 | 113 | 327 |
[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
Based On 1-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with IBM | |
|---|---|---|---|---|
| IBM | 1.1% | 33.4% | 0.08 | - |
| Sector ETF (XLK) | 30.0% | 26.8% | 0.95 | 42.8% |
| Equity (SPY) | 19.6% | 18.9% | 0.81 | 45.6% |
| Gold (GLD) | 71.9% | 26.3% | 2.05 | -2.9% |
| Commodities (DBC) | 19.3% | 17.3% | 0.89 | 11.2% |
| Real Estate (VNQ) | 6.2% | 16.3% | 0.19 | 38.8% |
| Bitcoin (BTCUSD) | -15.3% | 44.2% | -0.25 | 24.1% |
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Based On 5-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with IBM | |
|---|---|---|---|---|
| IBM | 20.2% | 24.8% | 0.73 | - |
| Sector ETF (XLK) | 17.7% | 24.7% | 0.64 | 36.6% |
| Equity (SPY) | 13.1% | 17.0% | 0.61 | 43.2% |
| Gold (GLD) | 24.1% | 17.3% | 1.14 | 3.8% |
| Commodities (DBC) | 11.2% | 19.0% | 0.47 | 12.9% |
| Real Estate (VNQ) | 4.8% | 18.8% | 0.16 | 37.0% |
| Bitcoin (BTCUSD) | 6.3% | 56.7% | 0.33 | 13.8% |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 10-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with IBM | |
|---|---|---|---|---|
| IBM | 11.0% | 25.4% | 0.43 | - |
| Sector ETF (XLK) | 21.8% | 24.2% | 0.82 | 50.2% |
| Equity (SPY) | 14.5% | 17.9% | 0.70 | 58.4% |
| Gold (GLD) | 14.4% | 15.6% | 0.77 | 2.0% |
| Commodities (DBC) | 8.6% | 17.6% | 0.40 | 22.1% |
| Real Estate (VNQ) | 5.6% | 20.7% | 0.23 | 47.0% |
| Bitcoin (BTCUSD) | 67.4% | 66.8% | 1.07 | 10.2% |
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 |
| 1/28/2026 | 5.1% | -1.2% | -17.9% |
| 10/22/2025 | -0.9% | 7.2% | 1.6% |
| 7/23/2025 | -7.6% | -7.7% | -14.5% |
| 4/23/2025 | -6.6% | -1.5% | 6.0% |
| 1/29/2025 | 13.0% | 15.2% | 11.1% |
| 10/23/2024 | -6.2% | -12.0% | -3.7% |
| 7/24/2024 | 4.3% | 4.4% | 7.4% |
| 4/24/2024 | -8.3% | -10.7% | -6.4% |
| ... | |||
| SUMMARY STATS | |||
| # Positive | 13 | 13 | 15 |
| # Negative | 11 | 11 | 9 |
| Median Positive | 4.9% | 5.5% | 5.0% |
| Median Negative | -6.2% | -6.9% | -7.0% |
| Max Positive | 13.0% | 15.2% | 20.7% |
| Max Negative | -9.9% | -12.0% | -17.9% |
SEC Filings
Expand for More| Report Date | Filing Date | Filing |
|---|---|---|
| 12/31/2025 | 02/24/2026 | 10-K |
| 09/30/2025 | 10/23/2025 | 10-Q |
| 06/30/2025 | 07/24/2025 | 10-Q |
| 03/31/2025 | 04/24/2025 | 10-Q |
| 12/31/2024 | 02/25/2025 | 10-K |
| 09/30/2024 | 10/30/2024 | 10-Q |
| 06/30/2024 | 07/30/2024 | 10-Q |
| 03/31/2024 | 04/30/2024 | 10-Q |
| 12/31/2023 | 02/26/2024 | 10-K |
| 09/30/2023 | 10/31/2023 | 10-Q |
| 06/30/2023 | 07/25/2023 | 10-Q |
| 03/31/2023 | 04/25/2023 | 10-Q |
| 12/31/2022 | 02/28/2023 | 10-K |
| 09/30/2022 | 10/25/2022 | 10-Q |
| 06/30/2022 | 07/25/2022 | 10-Q |
| 03/31/2022 | 04/26/2022 | 10-Q |
Insider Activity
Expand for More| # | Owner | Title | Holding | Action | Filing Date | Price | Shares | Transacted Value | Value of Held Shares | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Thomas, Robert David | Senior Vice President | Direct | Sell | 3032025 | 253.01 | 26,543 | 6,715,639 | 11,387,282 | Form |
| 2 | Farr, David N | Direct | Buy | 2282025 | 249.00 | 1,200 | 298,800 | 2,056,242 | Form | |
| 3 | Farr, David N | Direct | Buy | 1302026 | 304.00 | 1,000 | 304,000 | 2,814,432 | Form |
IBM Trade Sentinel
OVERWEIGHT (Score 9-10)
CONVICTION RATIONALE
The probability-adjusted skew of 3.03x is exceptionally attractive, placing IBM in Tier 1. This is driven by a combination of a modest downside valuation floor (supported by its historical multiple) and a compelling upside case if the turnaround continues. The 70% upside probability is justified by the widening moat in its core enterprise segment and strong leading indicators like the massive AI backlog, suggesting the market is mispricing the durability of the company's strategic execution.
STOCK ARCHETYPE
Turnaround / Deep ValueIBM fits the 'Turnaround' archetype as its investment case hinges on the successful strategic execution of its pivot to a hybrid cloud and AI-centric model. The data shows clear inflection points, like accelerating software growth and a massive AI backlog, alongside lagging legacy segments. This makes strategic execution the primary determinant of future value.
INVESTMENT THESIS
The core long thesis is that IBM's strategic shift to a high-margin, software-centric business model, propelled by its Hybrid Cloud (Red Hat) and AI (watsonx) platforms, is successfully underway and not fully appreciated. This mix shift is structurally improving margins, accelerating recurring revenue, and driving record free cash flow, justifying a valuation re-rating.
- Software segment revenue growth accelerated to +14% YoY in Q4 2025.
- Annual Recurring Revenue (ARR) reached $23.6 billion, up over $2 billion YoY.
- Generative AI book of business surpassed $12.5 billion in Q4 2025.
- Company generated a record $14.7B in free cash flow in fiscal 2025, up $2.0B year-over-year.
PRIMARY RISK
The primary risk is that major cloud providers (AWS, Azure, GCP) successfully bundle their native AI services with their core cloud offerings. This creates a convenient, integrated, and 'good enough' alternative that could stifle adoption of IBM's watsonx, particularly as enterprises look to consolidate vendors. This is a direct competitive threat to the central pillar of IBM's growth strategy.
- Cloud competitors like Microsoft Azure (39%) and Google Cloud (48%) are growing their cloud segments much faster than IBM.
- Red Hat, a key growth engine, saw revenue growth decelerate to 8% in Q4 2025, which management partially attributed to deal delays, but signals potential competitive pressure.
| KPI | Threshold | Rationale |
|---|---|---|
| Software Segment Revenue Growth | > 10% YoY (constant currency) | This is the primary metric proving the success of the mix-shift strategy. Sustained double-digit growth is required to validate the Alpha Driver thesis. |
| Red Hat Revenue Growth | Re-acceleration to > 10% YoY | Red Hat is the core engine of the hybrid cloud strategy. A return to double-digit growth after the Q4 2025 slowdown is critical to restoring confidence and dispelling competitive fears. |
| Generative AI Book-of-Business Conversion | Qualitative commentary and quantitative evidence of conversion to revenue. | This $12.5B+ backlog is the most important leading indicator of future growth. The market needs to see it translate from bookings into recognized software and consulting revenue to underwrite a higher valuation. |
Durable Software Pivot vs. Cyclical Mainframe Boost
BULL VIEW
The $12.5B+ GenAI book and accelerating software revenue (+11%) prove the pivot is working. The mainframe strength is an added cyclical tailwind, not the core story.
CORE TENSION
Is IBM's growth a sustainable, high-margin software story, or a temporary surge from the z17 mainframe cycle masking weakness in Red Hat and Consulting?
PREVAILING SENTIMENT
The stock's positive reaction to Q4 earnings shows investors prioritizing the accelerating Software segment revenue (+11%) and the $12.5B generative AI book of business over Red Hat's slowdown.
BEAR VIEW
The mainframe cycle's +21% infrastructure growth is masking Red Hat's sharp deceleration (to 8%) and stagnant consulting (+1%). The AI book is just backlog, not recognized revenue.
| Timeline | Event & Metric To Watch |
|---|---|
Late April 2026 | Q1 2026 Earnings Call: Red Hat Growth Watch: Red Hat segment revenue growth rate. Management commentary on consumption headwinds and federal deal pipeline. |
Late April 2026 | Q1 2026 Earnings Call: Legacy Anchor Performance Watch: Infrastructure segment growth (mainframe cycle normalization) and Consulting segment growth (AI backlog conversion). |
Ongoing (e.g. MSFT Build, Google Cloud Next) | Hyperscaler AI Platform Announcements Watch: Announcements of major enterprise customer wins for Azure AI or Google Gemini, especially those migrating from incumbent platforms. |
Slow Burn (Deadline Aug 2, 2026) | EU AI Act Compliance Disclosures Watch: Management commentary in 10-Q filings or earnings calls regarding projected costs or operational changes to meet AI Act deadline. |
| Date | Event | Stock Impact |
|---|---|---|
Aug 22, 2025 | Red Hat Growth Concerns Emerge Details: Despite strong overall results, analyst concerns began to surface regarding the deceleration of Red Hat's growth, which was a notable 16% in Q2 2025. | Modest 1.1% gain $238.08 -> $240.76 |
Sep 18, 2025 | Major Commercial Win with The Hartford Highlighted Details: Execution on securing major, multi-year commercial wins, such as the ongoing work with The Hartford, demonstrated continued strength in the enterprise consulting and services segment. | Rose significantly by 2.3% $257.65 -> $263.54 |
Oct 22, 2025 | Q3 2025 Earnings Release Details: Reported accelerating performance and raised its full-year outlook for revenue growth and free cash flow, citing strong AI demand and a growing AI book of business. [2] | Slight -0.9% pullback $285.93 -> $283.43 |
Nov 5, 2025 | Strategic Partnership with Bristol-Myers Squibb Highlighted Details: Though the initial deal was older, continued execution on major multi-year commercial wins, like with Bristol-Myers Squibb, was a key proof point of enterprise traction. | Rose significantly by 2.0% $300.85 -> $306.77 |
Dec 8, 2025 | Announced Definitive Agreement to Acquire Confluent (CFLT) Details: IBM announced its intent to acquire data-streaming company Confluent for an enterprise value of $11 billion to bolster its hybrid cloud and AI capabilities. [10, 12, 23] | Stock was Flat (0.4%) $307.94 -> $309.18 |
Jan 28, 2026 | Q4 2025 Earnings Release Details: Reported strong revenue growth, driven by a 21% surge in Infrastructure from the mainframe cycle. Software accelerated to 11% growth. Announced a $12.5B GenAI book of business. | Stock surged +5.1% $294.16 -> $309.24 |
Position Sizing
4%-6%
NORMAL
Stock volatility is moderate (2.7x S&P) with spiking near-term risk. While fundamentals are strong (Bullish sentiment, High visibility), the assumed 'Growth at a Price' valuation prevents a max position.
Diversification Alternatives
ACN
SECTORA pure-play on IT services and consulting demand, avoiding the cyclicality and legacy risks of IBM's hardware business. Offers a cleaner barometer of enterprise digital transformation spending.
NOW
SECTOROffers higher, more consistent growth as a pure-play SaaS leader in workflow automation. Less exposed to legacy business risks and complex, lower-margin consulting contracts.
IBM is executing a strategic pivot from a legacy IT services and hardware provider to a software-led Hybrid Cloud and AI platform company, with software now representing 45% of total revenue, up from 25% in 2018.
Filter all news through the lens of the software and consulting-led transformation; specifically, the growth and margin contribution of Red Hat and the AI (watsonx) book of business versus the performance of legacy infrastructure.
Software segment revenue growth >10%; Consulting book-to-bill >1.1; named customer wins for watsonx and Hybrid Cloud platforms; Red Hat organic growth accelerating; generative AI book of business exceeding $12.5B.
Consulting segment revenue growth below 3% due to AI-driven automation of legacy modernization work; Red Hat revenue growth decelerating; market share loss in key hybrid cloud or AI software categories; mainframe cycle revenue weaker than expected.
Quarterly mainframe cycle fluctuations (expected cyclicality); minor acquisitions outside of core software focus; legacy IT outsourcing contract wins/losses unless they signal a broader trend.
Repricing Catalyst
The primary catalyst is sustained high-margin growth in the Software segment, driven by Red Hat's hybrid cloud platform (OpenShift) and a growing generative AI book of business, which recently surpassed $12.5 billion. This is shifting IBM's revenue mix toward more predictable, recurring sources and expanding overall company margins, justifying a re-rating from a legacy hardware multiple to a software/platform multiple.
Software (Hybrid Cloud & AI)
$30.0B TTM (45% of Total) · 83.7% MarginWhat It Is
Red Hat Enterprise Linux (RHEL), OpenShift container platform, Ansible automation, watsonx AI development platform, Db2 database, and Transaction Processing software.
Who Pays & How
Enterprises pay recurring subscription and licensing fees for software that allows them to build, deploy, and manage applications across their own data centers and public clouds (e.g., AWS, Azure). The platform creates lock-in as migrating complex applications off of Red Hat OpenShift is a significant technical and financial undertaking.
Competition
Consulting
$21.2B TTM (31% of Total) · -999% MarginWhat It Is
IT strategy, application modernization, and business transformation services.
Who Pays & How
Large enterprises pay project-based fees for IBM consultants to manage complex technology projects, such as migrating legacy applications (e.g., COBOL-based systems) to the cloud or implementing IBM's software and AI platforms.
Competition
Infrastructure (Mainframes & Servers)
$15.7B TTM (24% of Total) · -999% MarginWhat It Is
IBM Z-series mainframes (e.g., z16, z17), Power servers, and data storage hardware.
Who Pays & How
Financial institutions, governments, and other large enterprises pay high upfront costs for mainframes due to their unmatched reliability, security, and high-volume transaction processing capabilities for mission-critical applications like global payment systems.
Competition
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