The Largest Companies in Industrial Machinery and Components Industry Value and Market Capitalization, Revenue, Income, Number of Employees - CSIMarket
Capital Goods Sector

The Largest Companies in Industrial Machinery and Components Industry

Explore the largest companies by market capitalization, revenue, income, and employees within the Industrial Machinery and Components industry

Classification: SIC NAICS ISIC Available under Commercial License
TTM data as of: September 1, 2026
Total Market Cap
$ 2,175B
Billions USD (aggregate)
Total Revenue (TTM)
$ 363B
Trailing twelve months
Total Net Income (TTM)
$ 39B
Trailing twelve months
Total Employees
2,989,221
Headcount (aggregate)
API endpoints for this dataset
https://api.csimarket.com/api/v1/industries/207/list
Programmatic access for models, analytics, and integration workflows.

Explore the largest companies by market capitalization, revenue, income, and employees within the Industrial Machinery and Components industry

Company Market Cap
(Millions)
Revenue TTM
(Millions)
Net Income TTM
(Millions)
Employees
Total Industrial Machinery and Components Industry $ 2,175,301 $ 363,041 $ 38,730 2,989,221
150 more companies available

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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, 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.

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
  • AML / KYC financial validation
  • 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, AML/KYC validation, 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.

Recent News from The Largest Companies in Industrial Machinery and Components Industry

Business Update
A Future-Ready Transition Eaton’s Leadership Changes Amidst a Transformative Investment Era

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Atkore Inc. Broadens Strategic Alternatives Review, Eyeing Enhanced Shareholder Value Beyond Core Electrical Portfolio

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Nov 20, 2025 • Industrial Machinery and Components Industry
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Powering Ahead Flux Power Secures Major Orders, Reflecting Robust Demand for Sustainable Energy Solutions

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Graham Corporation Secures $22 Million in Space Industry Orders Amid Financial Adjustments,

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Powering Progress Energy Vault and EU Green Energy Unite for a $250 Million Renewable Breakthrough,

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Sep 4, 2025 • Industrial Machinery and Components Industry
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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
CSV - SFTP - REST API - Daily Updates - Integration-ready for Python, R & BI tools