Company Metrics
Growth
| Metric | Compared to Sectorvs Sector |
|---|---|
| Medium (top 52%) | |
| Low (bottom 29%) | |
| High (top 62%) | |
| Medium (top 56%) | |
| Medium (top 58%) | |
| Medium (top 55%) | |
| Medium (bottom 45%) | |
| Growth Score: 7.1 | Very High (top 85%) |
Financial Strength
| Metric | Compared to Sectorvs Sector |
|---|---|
| Gross Margin: 67.2% | High (top 68%) |
| Operating Margin: 46.8% | Very High (top 98%) |
| Net Margin: 40.3% | Very High (top 96%) |
| ROE: 33.2% | High (top 74%) |
| ROA: 19.4% | Very High (top 87%) |
| ROIC: 28.5% | High (top 73%) |
| Free Cash Flow (TTM): 67 billion | Very High (top 100%) |
| Debt to Equity: 0.13 | Low (bottom 36%) |
| Book Value / Share: 59.55 | Very High (top 93%) |
| Financial Strength Score: 9.7 | Very High (top 99%) |
Value
| Metric | Compared to Sectorvs Sector |
|---|---|
| PE Ratio: 27.13 | Medium (bottom 45%) |
| PB Ratio: 8.18 | Very High (top 80%) |
| PS Ratio: 11.01 | Very High (top 82%) |
| PEG (1Y trailing): 0.86 | High (top 63%) |
| Medium (bottom 43%) | |
| Price to FCF: 54.53 | Very High (top 82%) |
| FCF Yield: 1.8% | Very Low (bottom 18%) |
| Dividend Yield: 0.92% | Low (bottom 37%) |
| Value Score: 6.4 | Very High (top 82%) |
Earnings Audit
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 |
What is the PEG Ratio?
The PEG ratio combines price-to-earnings with expected earnings growth to assess value.
Formula: P/E Ratio divided by expected annual earnings growth %
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
- $487.31
- 52W high
- —
- 52W low
- —
- RSI (14)
- —
- 20D momentum
- —
- 60D momentum
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- 30D volatility
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Daily fear-to-greed scores update after each market close and are available to paid users.
Industry Outlook
Fresh late-summer 2026 forecasts still point to strong demand for cloud platforms, software delivery tools, cybersecurity, and systems that help companies run AI safely at scale.
Macro Environment
MixedThe macro setup is mixed. AI spending and cloud migration are still pulling budgets toward infrastructure software, especially tools that move data, secure workloads, and automate operations. The pressure point is cost control: when cloud bills rise faster than budgets, customers look for unused capacity, delay migrations, or push vendors harder on price. Higher-for-longer rates would also hurt the group because investors pay more for future growth when money is cheap.
Competitive Dynamics
ExpandingCompetition is expanding as AI features appear across nearly every infrastructure software category. Large platforms are bundling more tools into existing contracts, which can protect their customer base but makes life harder for companies selling one narrow tool. Margins should keep improving for scaled providers, while smaller entrants may have to spend heavily on sales, engineering, and cloud costs to stay relevant.
Growth Outlook
ExpandingGrowth is still expanding because more companies are turning AI tests into production systems, and those systems need cloud capacity, data tools, monitoring, identity, and security. The next phase should be less about hype and more about whether vendors can prove that AI features save time, reduce risk, or create new revenue. The strongest players should keep growing, while weaker tools that do not show clear value are likely to be cut from software budgets.
Key Near-Term Risks
ElevatedThe first risk is that AI projects do not deliver clear savings or revenue fast enough, causing customers to slow deployments. The second is cloud cost control, because customers can cut unused capacity, delay migrations, or renegotiate contracts when bills rise faster than budgets. The third is a major cyberattack, a new rule on where data must be stored, or stricter AI oversight that slows rollouts in regulated industries.
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Updated Aug 23, 2026Strategy Match
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