IBM targets enterprise AI adoption through watsonx, consulting, Red Hat, and hybrid cloud infrastructure.
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Price
$252.22
1D change
+1.25%
Market cap
$237.06B
Sector
Technology
| Metric | IBM |
|---|---|
| Price | $252.22 |
| 1D Change | +1.25% |
| Market Cap | $237.06B |
| Enterprise Value | $295.16B |
| Trailing P/E | 22.3 |
| Forward P/E | 18.7 |
| PEG Ratio | 2.33x |
| Price / Sales | 3.4 |
| EV / Revenue | 4.3 |
| Revenue Growth | 9.5% |
| Earnings Growth | 14.2% |
| Gross Margin | 58.4% |
| Operating Margin | 13.8% |
| Net Margin | 15.6% |
| ROE | 35.8% |
| Free Cash Flow | $13.08B |
| FCF Margin | 19.0% |
| Debt / Equity | 2.11x |
| Current Ratio | 0.80x |
| Dividend Yield | 268.00% |
| Next Earnings | Jul 22, 2026 |
| Quarterly Revenue | $15.92B |
| Revenue QoQ | -19.1% |
| Quarterly Net Income | $1.22B |
| Net Income QoQ | -78.3% |
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.