Commercial Banks Industry Profitability Ratios & Margins Q2 2026 | CSIMarket

Commercial Banks Industry Profitability

Margin and profitability benchmarks for Commercial Banks Industry, covering Gross, Operating, EBITDA, Pre-Tax and Net Margin, Free Cash Flow Margin, and the Effective Tax Rate.

Commercial access adds cross-sectional margin distributions (median, quartiles, std. dev., percentiles), YoY change & trend slopes, and volatility across TTM and FY periods, with up to 20 years of history for peer benchmarking, valuation comps and credit analysis.

Additional Classifications: SIC NAICS ISIC Map your universe: license the classification feed →
Trailing twelve months as of Q2 2026 TTM
Gross Margin
0.34%
TTM Q2 2026 TTM
Operating Margin
2.63%
TTM Q2 2026 TTM
EBITDA Margin
43.82%
TTM Q2 2026 TTM
Net Margin
26.8%
TTM Q2 2026 TTM

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API endpoints for this dataset
https://api.csimarket.com/api/v1/industries/712/profitability?period_type=Q
https://api.csimarket.com/api/v1/industries/712/profitability
https://api.csimarket.com/api/v1/industries/712/profitability?period_type=FY
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Commercial Banks Industry Profitability Margins

Q2 2026 TTM Commercial
Metric Q2 2026 TTM Q1 2026 TTM Q4 2025 TTM Q3 2025 TTM Q2 2025 TTM
Gross Margin
Gross profit / revenue
0.34% Subscribe Subscribe Subscribe Subscribe
↳ Industry rank Subscribe Subscribe Subscribe Subscribe Subscribe
Operating Margin
Operating income / revenue
2.63% Subscribe Subscribe Subscribe Subscribe
↳ Industry rank Subscribe Subscribe Subscribe Subscribe Subscribe
EBITDA Margin
EBITDA / revenue
43.82% Subscribe Subscribe Subscribe Subscribe
↳ Industry rank Subscribe Subscribe Subscribe Subscribe Subscribe
Pre-Tax Margin
Pre-tax income / revenue
36.01% Subscribe Subscribe Subscribe Subscribe
↳ Industry rank Subscribe Subscribe Subscribe Subscribe Subscribe
Net Margin
Net income / revenue
26.8% Subscribe Subscribe Subscribe Subscribe
↳ Industry rank Subscribe Subscribe Subscribe Subscribe Subscribe
Free Cash Flow Margin
FCF / revenue
66.43% Subscribe Subscribe Subscribe Subscribe
Effective Tax Rate
Tax expense / pre-tax income
22.16% Subscribe Subscribe Subscribe Subscribe
Analytical Use & Applications

Industry Margins in Equity Research, Valuation & Credit

Gross and operating margins anchor peer-multiple work in equity research. How high a margin sits, and which way it is heading, helps explain why otherwise comparable companies trade at different EV/EBITDA and P/E multiples, so a company that beats or trails the industry median often becomes the core of the investment case.

EBITDA and net margin distributions feed leveraged-buyout and credit models. Sponsors and credit committees look at where a target falls in the spread of sector margins, then size leverage and build downside cases against the weaker end of that range.

Free cash flow margin and the effective tax rate carry into DCF valuation and covenant testing. A tax rate well away from peers usually points to one-offs that analysts strip out before they assemble a comparable set.

Margin percentiles and year-over-year trends support screening and factor work for quantitative funds, and give portfolio teams a quick way to flag names worth a closer look.

Margin Distribution & Dispersion: Cross-Sectional Commercial
Metric Q2 2026 TTM Q1 2026 TTM Q4 2025 TTM Q3 2025 TTM Q2 2025 TTM
Operating Margin Percentile
Cross-industry rank
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Operating Margin Median
Cross-sectional median
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Operating Margin 25th Pct.
Lower quartile
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Operating Margin 75th Pct.
Upper quartile
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Operating Margin Std. Dev.
Dispersion across peers
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Operating Margin IQR
P75 - P25
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Net Margin Percentile
Cross-industry rank
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Net Margin Median
Cross-sectional median
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Net Margin Std. Dev.
Dispersion across peers
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Operating Margin YoY Change
Year-over-year delta
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Operating Margin Trend (4Q)
4-quarter slope
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Reporting Coverage Rate
% of companies reported
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Distributions, percentiles & dispersion: Commercial License

Cross-sectional margin statistics for credit, risk and quant models require a commercial license.

Profitability Margins: Fiscal Year FY 2025 – FY 2021 Commercial
Metric FY 2025 FY 2024 FY 2023 FY 2022 FY 2021
Gross Margin Subscribe Subscribe Subscribe Subscribe Subscribe
Operating Margin Subscribe Subscribe Subscribe Subscribe Subscribe
EBITDA Margin Subscribe Subscribe Subscribe Subscribe Subscribe
Pre-Tax Margin Subscribe Subscribe Subscribe Subscribe Subscribe
Net Margin Subscribe Subscribe Subscribe Subscribe Subscribe
Free Cash Flow Margin Subscribe Subscribe Subscribe Subscribe Subscribe
Effective Tax Rate Subscribe Subscribe Subscribe Subscribe Subscribe
Full-year margins with a Commercial License

Fiscal-year margins are aggregated from companies' audited annual filings — suited to covenant & rating work.

Unlock FY data & API
Access up to 20 years of Commercial Banks Industry historic profitability data
Commercial Banks Industry – Operating Margin (TTM)
Statistics as of Q2 2026 TTM
High
36.77%
Recent periods
Average
27.38%
Recent periods
Low
2.63%
Recent periods
Operating Margin Percentile
Where the industry ranks across all industries
Comment
For the year through Q2 2026, operating margin at the Commercial Banks Industry stood at 2.63%, down 34.14 pts from 36.77% a quarter earlier, leaving it below its recent 27.38% average.
Commercial Banks Industry – Net Margin (TTM)
Statistics as of Q2 2026 TTM
High
27.75%
Recent periods
Average
26.83%
Recent periods
Low
25.41%
Recent periods
Net Margin Percentile
Where the industry ranks across all industries
Comment
Net margin came in at 26.80% for the TTM period ending Q2 2026, down 0.42 pts from 27.22% a quarter earlier, in line with its recent 26.83% average.
Commercial Banks Industry – Gross Margin (TTM)
Statistics as of Q2 2026 TTM
High
94.46%
Recent periods
Average
75.26%
Recent periods
Low
0.34%
Recent periods
Comment
Gross margin reached 0.34% on a TTM basis as of Q2 2026 for the Commercial Banks Industry, down 93.81 pts from 94.15% a quarter earlier, leaving it below its recent 75.26% average.
Commercial Banks Industry – EBITDA Margin (TTM)
Statistics as of Q2 2026 TTM
High
62.34%
Recent periods
Average
51.22%
Recent periods
Low
43.82%
Recent periods
Comment
The Commercial Banks Industry ran an EBITDA margin of 43.82% over the trailing twelve months to Q2 2026, down 16.48 pts from 60.30% a quarter earlier, leaving it below its recent 51.22% average.
Reading the Advanced Margin Statistics

What the distribution and dispersion figures actually tell you

Plenty of people glance at one margin and stop there. The numbers in the licensed columns go a step further: they show where a company sits inside its peer group, and how steady that spot has been over time.

Start with the median and the quartiles. The median is just the middle company once you line every constituent up by margin, while the 25th and 75th percentiles fence off the broad middle of the pack. When the gap between them — the interquartile range — is wide, you are looking at an industry of haves and have-nots, and a plain average can mislead. A narrow gap means most firms bunch together, so the headline number is a fair stand-in for the group.

Standard deviation and the coefficient of variation come at the same question from another direction; they measure how far margins scatter around the mean. Two industries can share an identical average net margin while one stays calm and the other lurches from year to year — and that gap is exactly what a lender worries about when sizing the downside.

The percentile rank answers something a portfolio manager asks out loud: of everyone in the sector, how many earn a fatter margin than this one? A z-score says the same thing in units of standard deviation, which helps when you are screening across very different industries and need one common yardstick.

Last, the year-over-year change and the four-quarter trend slope describe direction rather than level. A healthy margin that has drifted lower for a year tells a different story than a thinner margin quietly on the mend — and more often than not it is the trend, not the snapshot, that tips a credit or valuation call.

Industry Benchmarking Dataset for Institutional Use

Commercial

The data presented above is part of our institutional-grade Industry Benchmarking Dataset, designed for integration into credit risk models, portfolio analytics, and internal banking systems. The full dataset is available under a Commercial License, with delivery via API or bulk CSV datasets.

Advanced Metrics & Analytics
  • Multi-year CAGRs & growth acceleration signals
  • Volatility measures & trend stability indicators
  • Cross-sectional percentiles (median, p25, p75)
  • Dispersion metrics (std deviation, spread)
  • Composite scores (growth quality, distress risk)
Institutional Use Cases
  • Credit underwriting & peer benchmarking
  • Portfolio monitoring & risk tracking
  • Quantitative modeling & factor construction
  • Sector risk & supply chain exposure analysis
Data Delivery
API Access
Real-time endpoints delivering data into risk engines, models, and internal systems.
Bulk CSV Datasets
Pre-structured datasets optimized for direct ingestion into data warehouses, enabling large-scale modeling, backtesting, and historical analysis.
Licensing
Available under institution-grade licensing frameworks with defined usage rights, distribution scope, and integration permissions, supporting internal use, client reporting, and enterprise-wide deployment.
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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