Consumer Non Cyclical Sector
Diversified Industry Valuation Benchmarks & Metrics
Price to Earnings, Price to Sales, Price to Cash Flow, and Price to Book ratios for companies within Diversified Industry.
Updated: November 14, 2026
P/E Ratio (TTM)
22.18
P/S Ratio (TTM)
3.06
P/CF Ratio (TTM)
1118.59
P/B Ratio (MRQ)
4.74
API endpoints for this dataset
https://api.csimarket.com/api/v1/industries/515/valuation
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Advanced Valuation Metrics
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Enterprise Value
Enterprise Value
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EV / EBITDA
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EV / Sales
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Net Debt / EBITDA
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Historical Context
5-Year Avg P/E
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P/E Z-Score (5Y)
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EV/EBITDA 5Y Avg
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EV/EBITDA Z-Score
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Composite Scores
Relative Val. Score
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Composite Val. Score
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CAPE Industry P/E
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P/E Distribution
P/E Median
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P/E 25th Pct.
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P/E 75th Pct.
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P/E Std. Deviation
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P/E Quartile Spread
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EV/EBITDA Distribution
EV/EBITDA Median
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EV/EBITDA 25th Pct.
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EV/EBITDA 75th Pct.
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EV/EBITDA Std. Dev.
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EV/EBITDA Qrt. Spread
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21 advanced metrics including Enterprise Value, Z-scores, CAPE and full distribution analytics, available under Commercial License.
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Valuation by Company within Diversified Industry
1 Q 2026| Company | Quarter | P/E (TTM) | P/S (TTM) | P/CF (TTM) | P/B |
|---|---|---|---|---|---|
| Spyglass Pharma Inc | 1Q | 23.49 | 3.06 | 1118.59 | 4.74 |
Diversified Industry
Price to Earnings ratio is 22.18, Price to Sales ratio is 3.06, Price to Cash Flow ratio is 1118.59, Price to Book ratio is 4.74 in the 1 Q 2026 for Diversified Industry.
Diversified Industry: P/E vs P/S Ratio Comparison
Industry Benchmarking Dataset for Institutional Use
CommercialThe data presented above is part of our institutional-grade Industry Benchmarking Dataset, designed for integration into credit risk models, AML/KYC frameworks, portfolio analytics, and internal banking systems. The full dataset is available under a Commercial License, with delivery via API or bulk CSV datasets.
Available under institution-grade licensing frameworks with defined usage rights,
distribution scope, and integration permissions, supporting internal use,
client reporting, and enterprise-wide deployment.
Methodology
1. Data Coverage & Universe
2. Aggregation Methodology
3. Ratio Construction
4. Distribution Analytics
5. Percentile Rankings
6. Volatility & Trend Metrics
7. Composite Scores
8. Data Quality Controls
9. Update Frequency
10. Use Cases
11. Licensing & Access
Decision Framework & Data Access
Power onboarding, benchmarking, and quantitative analysis with institutional-grade datasets structured for direct integration into financial models and risk frameworks.
- Industry benchmarking datasets (valuation, growth, profitability)
- Designed for quant models, AML/KYC validation & onboarding workflows
- Consistent time-series structure (Quarterly, TTM, Annual)
- Coverage across 100+ industries and 20+ years of history
