Miscellaneous Financial Services Industry Valuation: P/E, EV/EBITDA & Multiples Q2 2026 | CSIMarket

Miscellaneous Financial Services Industry Valuation

Market valuation multiples for Miscellaneous Financial Services Industry: P/E, P/S, P/B, EV/EBITDA, with cross-industry percentile rankings.

These ratios measure what the market pays for the industry — not its margins, returns on capital or balance-sheet strength. Commercial access adds FCF yield, CAPE, 5-year z-scores and the full P/E and EV/EBITDA distribution.

Additional Classifications: SIC NAICS ISIC Map your universe: license the classification feed →
Trailing twelve months as of Q2 2026 TTM
Price / Earnings
Current · TTM basis
EV / EBITDA
Current · TTM basis
Price / Book
19.8x
Current · TTM basis

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API endpoints for this dataset
https://api.csimarket.com/api/v1/industries/707/valuation?period_type=CURRENT
https://api.csimarket.com/api/v1/industries/707/valuation
https://api.csimarket.com/api/v1/industries/707/valuation?period_type=FY
Programmatic access for models, analytics, and integration workflows.
Pull these exact multiples programmatically

Miscellaneous Financial Services Industry Valuation Multiples

Q2 2026 TTM Commercial
Multiple Current Q2 2026 TTM
average
Q1 2026 TTM
average
Q4 2025 TTM
average
Q3 2025 TTM
average
Price / Earnings (TTM)
Market cap / net income
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Price / Sales (TTM)
Market cap / revenue
30.31x Subscribe Subscribe Subscribe Subscribe
Price / Book (TTM)
Market cap / book value
19.8x Subscribe Subscribe Subscribe Subscribe
Price / Cash Flow (TTM)
Market cap / operating cash flow
97.61x Subscribe Subscribe Subscribe Subscribe
EV / EBITDA (TTM)
Enterprise value / EBITDA
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EV / Sales (TTM)
Enterprise value / revenue
30.11x Subscribe Subscribe Subscribe Subscribe
Analytical Use & Applications

Valuation Multiples in Equity Research, Allocation & M&A

A multiple only means something in context. A 25× P/E is cheap for an industry that has compounded earnings for a decade and expensive for one whose earnings are about to roll over — so the useful questions are how this industry's multiples compare with its own history and with the rest of the market, which is exactly what an industry benchmark provides.

Equity research builds peer sets and target prices off industry multiples and their dispersion; portfolio managers weigh a sector's valuation against its history to decide allocation and rotation; and M&A and corporate-development teams lean on comparable-company multiples to screen and price deals. Where this industry sits relative to peers, and which way the multiples are trending, frames each of those calls.

For the operating side of the story see the margin profile, returns on capital and balance-sheet strength. This page is strictly what the market pays.

Valuation Multiples & Distribution — TTM Commercial
Metric Q2 2026 TTM Q1 2026 TTM Q4 2025 TTM Q3 2025 TTM Q2 2025 TTM
Core multiples
Net Debt / EBITDA
(Debt - cash) / EBITDA
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CAPE (cyclically-adjusted P/E)
Price / 10y avg earnings
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Yield
Free Cash Flow Yield
FCF / market cap
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Versus its own 5-year history
P/E 5-Year Average
Mean P/E over 20 quarters
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P/E Z-Score (5y)
Current P/E vs its own history
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EV/EBITDA 5-Year Average
Mean EV/EBITDA over 20q
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EV/EBITDA Z-Score
Current vs its own history
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Valuation score
Composite Valuation Score
0-100, lower = cheaper
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Relative Valuation Score
Current vs historical multiples
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Valuation Composite Z-Score
Std devs from peer mean
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P/E distribution (cross-sectional)
P/E Median
Median company P/E
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P/E 25th Pct.
Lower quartile
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P/E 75th Pct.
Upper quartile
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P/E Std. Dev.
Dispersion
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P/E IQR (Spread)
P75 - P25
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P/E Mean Abs. Dev.
Outlier-resistant dispersion
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EV/EBITDA distribution (cross-sectional)
EV/EBITDA Median
Median company EV/EBITDA
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EV/EBITDA 25th Pct.
Lower quartile
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EV/EBITDA 75th Pct.
Upper quartile
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EV/EBITDA Std. Dev.
Dispersion
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EV/EBITDA IQR (Spread)
P75 - P25
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Cross-industry percentile
Composite Valuation Percentile
Where overall valuation ranks across industries
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P/E Cross-Industry Percentile
Where P/E ranks
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EV/EBITDA Cross-Industry Percentile
Where EV/EBITDA ranks
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EV/Sales Cross-Industry Percentile
Where EV/Sales ranks
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Size
Market Capitalization
Aggregate market cap
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Enterprise Value
Market cap + debt - cash
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Full valuation dataset — yield, CAPE, z-scores & distribution — Commercial License

FCF yield, CAPE, 5-year z-scores and the P/E and EV/EBITDA dispersion stats for screening, comps and quant models require a commercial license.

Valuation Multiples & Distribution — Fiscal Year Commercial
Metric FY 2025 FY 2024 FY 2023 FY 2022 FY 2021
Core multiples
Price / Earnings
Cap-weighted P/E
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Price / Sales
Market cap / revenue
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Price / Book
Market cap / book value
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Price / Cash Flow
Market cap / op. cash flow
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EV / EBITDA
Enterprise value / EBITDA
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EV / Sales
Enterprise value / revenue
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Net Debt / EBITDA
(Debt - cash) / EBITDA
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CAPE (cyclically-adjusted P/E)
Price / 10y avg earnings
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Yield
Free Cash Flow Yield
FCF / market cap
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Versus its own 5-year history
P/E 5-Year Average
Mean P/E over 20 quarters
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P/E Z-Score (5y)
Current P/E vs its own history
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EV/EBITDA 5-Year Average
Mean EV/EBITDA over 20q
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EV/EBITDA Z-Score
Current vs its own history
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Valuation score
Composite Valuation Score
0-100, lower = cheaper
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Relative Valuation Score
Current vs historical multiples
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Valuation Composite Z-Score
Std devs from peer mean
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P/E distribution (cross-sectional)
P/E Median
Median company P/E
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P/E 25th Pct.
Lower quartile
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P/E 75th Pct.
Upper quartile
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P/E Std. Dev.
Dispersion
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P/E IQR (Spread)
P75 - P25
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P/E Mean Abs. Dev.
Outlier-resistant dispersion
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EV/EBITDA distribution (cross-sectional)
EV/EBITDA Median
Median company EV/EBITDA
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EV/EBITDA 25th Pct.
Lower quartile
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EV/EBITDA 75th Pct.
Upper quartile
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EV/EBITDA Std. Dev.
Dispersion
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EV/EBITDA IQR (Spread)
P75 - P25
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Cross-industry percentile
Composite Valuation Percentile
Where overall valuation ranks across industries
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P/E Cross-Industry Percentile
Where P/E ranks
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EV/EBITDA Cross-Industry Percentile
Where EV/EBITDA ranks
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EV/Sales Cross-Industry Percentile
Where EV/Sales ranks
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Size
Market Capitalization
Aggregate market cap
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Enterprise Value
Market cap + debt - cash
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Full valuation dataset — yield, CAPE, z-scores & distribution — Commercial License

FCF yield, CAPE, 5-year z-scores and the P/E and EV/EBITDA dispersion stats for screening, comps and quant models require a commercial license.

Access up to 20 years of Miscellaneous Financial Services Industry historic valuation-multiple data
Miscellaneous Financial Services Industry – Price / Earnings (TTM)
Statistics as of Q2 2026 TTM
High
55.34x
Recent periods
Average
31.69x
Recent periods
Low
20.56x
Recent periods
Comment
The Miscellaneous Financial Services Industry traded at 55.34x trailing earnings over the twelve months to Q2 2026, a richer multiple than the 27.11x a quarter earlier, above its 31.69x recent average.
Miscellaneous Financial Services Industry – EV / EBITDA (TTM)
Statistics as of Q2 2026 TTM
High
-17.17x
Recent periods
Average
-20.96x
Recent periods
Low
-29.32x
Recent periods
Comment
Buyers valued the Miscellaneous Financial Services Industry at -29.32x of enterprise value to EBITDA over the trailing year to Q2 2026, a cheaper multiple than the -19.16x a quarter earlier, below its -20.96x recent average.
Miscellaneous Financial Services Industry – Price / Book (TTM)
Statistics as of Q2 2026 TTM
High
3.51x
Recent periods
Average
2.65x
Recent periods
Low
1.62x
Recent periods
Comment
The Miscellaneous Financial Services Industry was priced at 2.29x of book value as of Q2 2026, a richer multiple than the 1.62x a quarter earlier, below its 2.65x recent average.
Reading the Valuation Statistics

What the market pays for Miscellaneous Financial Services Industry

Miscellaneous Financial Services Industry trades at 30.31x sales. Against book value it is priced at 19.8x. The implied free-cash-flow yield is 1.02%.

In our composite valuation ranking it lands in the 7th percentile across every industry we track.

For a value-oriented PM or sell-side desk this is a cheap-multiple read. A low P/E can be a genuine discount or a value trap; the dispersion and the trend tell which, and where the industry sits versus its own five-year history frames the call. M&A and valuation teams lean on the same comparable-company multiples for deal screening and fairness work.

The series runs back about twenty years, recorded point-in-time and normalized the same way for every industry. That is what makes it useful to people building models rather than reading screens: the same panel that feeds a relative-value backtest feeds a screening rule, and an agent grounded on this industry's its P/E and where it sits in the valuation distribution answers more steadily than one reasoning from a stack of quote pages, because the comparable-numbers problem is already solved. It is a dataset built to be queried; the valuation judgement stays with whatever model you point at it.

Industry Benchmarking Dataset for Institutional Use

Commercial

The data presented above is part of our institutional-grade Industry Benchmarking Dataset, designed for integration into equity-research workflows, screening engines, and quantitative models. The full dataset is available under a Commercial License, with delivery via API or bulk CSV datasets.

Advanced Metrics & Analytics
  • Multiples (P/E, P/S, P/B, P/CF, EV/EBITDA, EV/Sales)
  • FCF yield, CAPE & net debt / EBITDA
  • 5-year history averages & z-scores
  • P/E & EV/EBITDA dispersion (median, p25, p75)
  • Cross-industry valuation percentiles
Institutional Use Cases
  • Peer comps & target prices
  • Sector allocation & rotation
  • M&A screening & deal valuation
  • 409A, fairness opinions & PPA
CSIMarket - Industry Benchmarking Data - Per Industry

Institutional-grade industry datasets
in standardized CSV format

Pre-cleaned, audit-ready benchmarking data for this industry - 6 CSV files covering profitability, growth, valuation, efficiency, management effectiveness, and financial strength. Each file delivers 20 quarters and 5 fiscal years of history, with statistical distributions and composite scores per period.

6CSV files
3,880Quarterly endpoints
360Annual endpoints
20Quarters of history
5Fiscal years
Profitability
37 quarterly - 10 annual indicators 790 endpoints ?
Growth
31 quarterly - 7 annual indicators 1,455 endpoints ?
Valuation
29 quarterly - 10 annual indicators 630 endpoints ?
Efficiency
16 quarterly - 12 annual indicators 380 endpoints ?
Management
20 quarterly - 16 annual indicators 480 endpoints ?
Fin. Strength
21 quarterly - 17 annual indicators 505 endpoints ?
Total dataset size - across 110 industries
Quarterly data points
388,000
3,880 × 110 industries
Annual data points
36,000
360 × 110 industries
Industries covered
110
all sectors
Total data points
424,000
quarterly + annual
Industry classification systems supported
CSIMarket Proprietary classification optimized for financial benchmarking and industry analytics
NAICS North American Industry Classification System - used by U.S., Canada & Mexico federal agencies
SIC Standard Industrial Classification - legacy system used by the SEC and financial regulators
ISIC International Standard Industrial Classification - UN framework for global economic comparison
Dataset 1 - Profitability Benchmarks

Margin benchmarks across the full industry distribution

Gross, operating, EBITDA, pre-tax, net, and free cash flow margins - delivered as TTM, quarterly, and annual series with P25 / median / P75 / standard deviation for every reporting period.

Net margin (TTM Q4)
7.44%
+2.11pp vs prior yr
Gross margin
10.44%
industry avg
FCF margin
13.66%
strong
Companies reported
31
Q4 2025
Data coverage per industry
Quarterly indicators
37
metrics per period
Annual indicators
10
fiscal year metrics
Quarterly endpoints
740
20 quarters × 37
Annual endpoints
50
5 fiscal years × 10
Gross, operating, EBITDA, net & FCF margins
TTM, quarterly & fiscal year series
P25 / median / P75 / std dev per period
YoY margin change & acceleration
Effective tax rate & pre-tax margin
Profitability composite score (0–100)
Report preview - Profitability Benchmarks - Aerospace & Defense
Profitability Benchmarks report sample
Dataset 2 - Growth Dynamics

Revenue, income & cash flow growth across 13+ line items

Industry-level growth benchmarks for every major P&L and cash flow line - with breadth indicators showing what share of companies posted positive growth, acceleration metrics, and rolling TTM comparisons.

Revenue growth (TTM Q4)
12.84%
improving
Net income growth
18.45%
above revenue
FCF growth
13.60%
strong
EPS acceleration
+3.69pp
vs prior TTM
Data coverage per industry
Quarterly indicators
31
metrics per period
Annual indicators
7
fiscal year metrics
Quarterly endpoints
1,420
20 quarters × 31
Annual endpoints
35
5 fiscal years × 7
Revenue, gross, EBIT & operating income growth
Net income, EPS (basic & diluted) growth
FCF, net cash flow & CapEx growth
Breadth: % of companies with positive growth
QoQ, YoY, TTM & 3-year CAGR
Growth composite score (0–100)
Report preview - Growth Dynamics - Aerospace & Defense
Growth Dynamics report sample
Dataset 3 - Valuation Multiples

Industry valuation multiples with 5-year context & Z-scores

P/E, P/S, P/FCF, P/Book, EV/EBITDA - current and trailing - with five-year averages, percentile ranks, Z-scores, and a composite valuation score to place the industry in historical context.

P/E ratio (current)
22.4x
vs 5yr avg 14.2x
EV/EBITDA (TTM)
13.1x
P25–P75: 4.5x–20.4x
Earnings yield
4.46%
attractive
Composite val. score
61.7
moderately valued
Data coverage per industry
Quarterly indicators
29
metrics per period
Annual indicators
10
fiscal year metrics
Quarterly endpoints
580
20 quarters × 29
Annual endpoints
50
5 fiscal years × 10
P/E, P/S, P/CF, P/FCF, P/Book multiples
EV/EBITDA & EV/Sales (current & TTM)
5-year historical average per multiple
Z-scores & percentile ranks
Earnings yield & FCF yield
Composite valuation score (0–100)
Report preview - Valuation Multiples - Aerospace & Defense
Valuation Multiples report sample
Dataset 4 - Operational Efficiency

Productivity, turnover ratios & cash conversion benchmarks

Revenue and income per employee, asset and receivables turnover, days sales outstanding, days inventory, days payables, and the full cash conversion cycle - benchmarked across the industry distribution.

Revenue / employee
$487K
improving
Asset turnover
0.61x
P75: 0.80x
Cash conv. cycle
113 days
above avg
Efficiency score
68.7
composite 0–100
Data coverage per industry
Quarterly indicators
16
metrics per period
Annual indicators
12
fiscal year metrics
Quarterly endpoints
320
20 quarters × 16
Annual endpoints
60
5 fiscal years × 12
Revenue & net income per employee
Asset, receivables & inventory turnover
DSO, DIO, DPO & cash conversion cycle
Working capital per revenue
YoY & TTM trend for all metrics
Efficiency composite score (0–100)
Report preview - Operational Efficiency - Aerospace & Defense
Operational Efficiency report sample
Dataset 5 - Management Effectiveness

ROA, ROE, ROIC & DuPont decomposition benchmarks

Return metrics measuring how effectively management allocates capital - with incremental ROIC, DuPont decomposition, FCF quality indicators, and a composite management effectiveness score across the industry.

Return on assets
5.05%
vs 4.44% prior
Return on equity
14.22%
improving
ROIC (TTM)
9.77%
P75: 12.4%
Effectiveness score
72.4
composite index
Data coverage per industry
Quarterly indicators
20
metrics per period
Annual indicators
16
fiscal year metrics
Quarterly endpoints
400
20 quarters × 20
Annual endpoints
80
5 fiscal years × 16
ROA, ROE & ROIC - TTM & quarterly
Incremental ROIC & capital intensity
DuPont 3-factor decomposition
FCF conversion quality metrics
P25 / median / P75 / std dev per metric
Management effectiveness composite (0–100)
Report preview - Management Effectiveness - Aerospace & Defense
Management Effectiveness report sample
Dataset 6 - Financial Strength

Leverage, liquidity & debt coverage across the industry

Debt-to-equity, interest and debt coverage, quick ratio, working capital, leverage ratios - full distribution statistics - in standardized, audit-ready format suited for credit workflows, compliance, and ESG reporting.

Debt / equity (TTM)
1.44x
above industry avg
Interest coverage
8.32x
comfortable
Quick ratio
0.91x
vs P75 1.18x
Fin. strength score
58.4
composite 0–100
Data coverage per industry
Quarterly indicators
21
metrics per period
Annual indicators
17
fiscal year metrics
Quarterly endpoints
420
20 quarters × 21
Annual endpoints
85
5 fiscal years × 17
Quick ratio & working capital ratio
Total & LT debt-to-equity
Leverage & tangible leverage ratios
Interest & debt coverage ratios
P25 / median / P75 / std dev per metric
Financial strength composite score (0–100)
Report preview - Financial Strength - Aerospace & Defense
Financial Strength report sample
Methodology
1. Data Coverage & Universe
Structured dataset built from publicly listed companies, classified across industries, sectors, and total market using CSIMarket, NAICS, SIC, and ISIC frameworks.

Includes up to 5 years of quarterly data (TTM, quarterly, annualized) with continuous updates during earnings cycles.

Coverage transparency includes total companies, reported companies per metric, and coverage ratios.
2. Aggregation Methodology
Industry metrics are calculated using aggregated financial statements, not averages.

Sum-based aggregation is applied to revenue, income, assets, and debt, with market-cap weighting for valuation metrics and TTM normalization to reduce seasonality.

Example: P/E = Total Market Cap ÷ Total Net Income.
3. Ratio Construction
Ratios are standardized and calculated at the company level, then benchmarked across industries.

Covers profitability, valuation, financial strength, efficiency, and growth metrics including margins, ROE, EV multiples, leverage ratios, and CAGR growth measures.
4. Distribution Analytics
Full cross-sectional distribution analysis includes median (P50), quartiles (P25/P75), standard deviation, and interquartile range.

Enables detection of outliers, dispersion, and structural differences within industries.
5. Percentile Rankings
Metrics are normalized into 0–100 percentile rankings using cross-industry PERCENT_RANK().

Direction is adjusted by metric (higher = better for growth/profitability, lower = better for leverage/risk).

Used for benchmarking, factor models, and relative analysis.
6. Volatility & Trend Metrics
Includes volatility (e.g., 8-quarter standard deviation), trend slopes, and growth consistency metrics.

Captures earnings stability, margin durability, and cyclicality across industries.
7. Composite Scores
Multi-factor composite scores (0-100 scale) combine normalized inputs using weighted models.

Includes valuation, growth quality, financial strength, and distress risk scores.
8. Data Quality Controls
Data undergoes standardization, outlier detection, consistency checks, and coverage-based filtering.

Reporting counts and coverage ratios are provided for transparency.
9. Update Frequency
Dataset is continuously updated during earnings seasons.

TTM metrics are recalculated with each new filing, reflecting the most recent reported data.
10. Use Cases
Designed for credit risk analysis, portfolio monitoring, quantitative modeling, and benchmarking workflows.
11. Licensing & Access
Free preview available for evaluation. Full dataset access requires a commercial license.

API and bulk delivery options available for system integration.

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 and benchmarking workflows
  • Consistent time-series structure (Quarterly, TTM, Annual)
  • Coverage across 100+ industries and 20+ years of history
CSV - SFTP - REST API - Daily Updates - Integration-ready for Python, R & BI tools
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