Company Metrics
Growth
| Metric | Compared to Sectorvs Sector |
|---|---|
| Medium (bottom 49%) | |
| Low (bottom 28%) | |
| High (top 62%) | |
| Medium (top 54%) | |
| Medium (top 58%) | |
| Medium (top 56%) | |
| Medium (top 57%) | |
| Growth Score: 5.6 | High (top 69%) |
Financial Strength
| Metric | Compared to Sectorvs Sector |
|---|---|
| Gross Margin: 67.2% | High (top 72%) |
| Operating Margin: 46.8% | Very High (top 98%) |
| Net Margin: 40.3% | Very High (top 96%) |
| ROE: 33.2% | High (top 72%) |
| ROA: 19.4% | Very High (top 87%) |
| ROIC: 28.5% | High (top 72%) |
| Free Cash Flow (TTM): 67 billion | Very High (top 100%) |
| Debt to Equity: 0.13 | Low (bottom 37%) |
| Book Value / Share: 59.55 | Very High (top 94%) |
| Financial Strength Score: 9.7 | Very High (top 98%) |
Value
| Metric | Compared to Sectorvs Sector |
|---|---|
| PE Ratio: 30.07 | Medium (bottom 48%) |
| PB Ratio: 9.07 | Very High (top 84%) |
| PS Ratio: 11.98 | Very High (top 83%) |
| PEG (1Y trailing): 0.95 | High (top 65%) |
| Medium (bottom 44%) | |
| Price to FCF: 59.34 | Very High (top 84%) |
| FCF Yield: 1.7% | Very Low (bottom 15%) |
| Dividend Yield: 0.67% | Low (bottom 26%) |
| Value Score: 7.2 | High (top 63%) |
| Upside to DAISY Fair Value: -16.6 | Medium (top 51%) |
Valuation Station
DAISY Summary
DAISY Explanation
- -OpenAI investment impact-1.09
- +OpenAI investment impact+0.41
Quarterly EPS Breakdown
| Quarter | Period End | GAAP | Adj Diluted | Adj Basic | DAISY |
|---|---|---|---|---|---|
| Q2 2026 | Jun 30, 2026 | 4.81 | 5.16 | 5.18 | 4.74 |
| Q1 2026 | Mar 31, 2026 | 4.27 | 3.72 | 3.73 | 4.27 |
| Q4 2025 | Dec 31, 2025 | 5.16 | 3.65 | 3.67 | 4.14 |
| Q3 2025 | Sep 30, 2025 | 3.72 | 3.46 | 3.47 | 4.13 |
| TTM | 17.96 | 17.96 | 16.05 | 17.28 |
Metric Trends
Financial Statements
Warning Signs
Decreasing cash YoY
Cash declined from 30.24 billion to 20.93 billion over the last year. Review cash and cash equivalents on the balance sheet for the decline.
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Sentiment Analysis
Market Mood
- Current price
- $540.15
- 52W high
- —
- 52W low
- —
- RSI (14)
- —
- 20D momentum
- —
- 60D momentum
- —
- 30D volatility
- —
Daily fear-to-greed scores update after each market close and are available to paid users.
Industry Outlook
Fresh October evidence still shows strong demand for AI infrastructure, cloud platforms and security software, even as buyers keep pressing vendors to prove real savings before expanding deployments.
Macro Environment
MixedThe macro backdrop is helping and hurting at the same time. Companies still need cloud capacity, cyber protection and AI tools, but higher financing costs and tighter tech budgets make buyers slower to sign large, multi-year deals. The strongest spending is tied to projects that cut labor, improve security or support AI workloads that are already moving into production.
Competitive Dynamics
ExpandingCompetition is expanding as large platforms, cloud providers and specialist vendors all race to own the AI infrastructure layer. Bigger players benefit from distribution, customer trust and bundled contracts, while smaller entrants can still win when they solve a narrow pain point quickly. Margins should improve for scaled vendors, but hosting costs and price competition can squeeze companies that rely heavily on third-party cloud capacity.
Growth Outlook
ExpandingGrowth is still expanding because AI is moving from experiments into everyday developer, security, data and operations work. Cloud migrations also continue, with more software sold through cloud marketplaces and bundled into larger platform relationships. The catch is that customers are becoming more practical: pilots are easy to fund, but wider rollouts need a clear payoff.
Key Near-Term Risks
ElevatedThe biggest risk is that AI projects fail to deliver savings or new revenue fast enough, causing customers to slow wider rollouts. A second risk is cloud cost pressure, because customers can cut unused capacity, delay migrations or demand better contract terms when bills rise too quickly. A major cyberattack, tighter data-location rules or stricter AI oversight could also slow adoption in finance, healthcare, government and other sensitive markets.
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Updated Oct 11, 2026Strategy Match
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