IBM targets enterprise AI adoption through watsonx, consulting, Red Hat, and hybrid cloud infrastructure.
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Price
$245.00
1D change
-0.85%
Market cap
$231.55B
Sector
Technology
| Metric | IBM |
|---|---|
| Price | $245.00 |
| 1D Change | -0.85% |
| Market Cap | $231.55B |
| Enterprise Value | $288.31B |
| Trailing P/E | 20.9 |
| Forward P/E | 18.5 |
| PEG Ratio | 2.31x |
| Price / Sales | 3.3 |
| EV / Revenue | 4.1 |
| Revenue Growth | 4.7% |
| Earnings Growth | 25.0% |
| Gross Margin | 58.0% |
| Operating Margin | 17.0% |
| Net Margin | 16.0% |
| ROE | 34.8% |
| Free Cash Flow | $12.35B |
| FCF Margin | 17.7% |
| Debt / Equity | 1.85x |
| Current Ratio | 0.85x |
| Dividend Yield | 2.76% |
| Next Earnings | Jan 27, 2027 |
| Quarterly Revenue | $17.10B |
| Revenue QoQ | -0.3% |
| Quarterly Net Income | $2.19B |
| Net Income QoQ | +1.1% |
IBM thesis lens
Enterprise AI and hybrid cloud
Why it could benefit
- IBM targets enterprise AI adoption through watsonx, consulting, Red Hat, and hybrid cloud infrastructure.
- Its regulated-industry footprint can matter as AI moves into production systems.
- Consulting and software can help customers operationalize AI rather than just experiment.
Moat / edge
- Large enterprise and government relationships.
- Red Hat hybrid cloud platform.
- Deep services bench for complex AI deployments.
What to watch
- Software growth and consulting backlog.
- watsonx adoption in regulated industries.
- Free cash flow durability.
Key risks
- Growth profile is slower than most AI-native software names.
- Services demand can be cyclical.