Employment Agencies Industry Valuation
Market valuation multiples for Employment Agencies 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.
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Employment Agencies Industry Valuation Multiples
| Multiple | Current |
Q1 2026 TTM average |
Q4 2025 TTM average |
Q3 2025 TTM average |
Q2 2025 TTM average |
|---|---|---|---|---|---|
| Price / Earnings (TTM) Market cap / net income |
16.35x | Subscribe | Subscribe | Subscribe | Subscribe |
| Price / Sales (TTM) Market cap / revenue |
1.51x | Subscribe | Subscribe | Subscribe | Subscribe |
| Price / Book (TTM) Market cap / book value |
2.27x | Subscribe | Subscribe | Subscribe | Subscribe |
| Price / Cash Flow (TTM) Market cap / operating cash flow |
14.02x | Subscribe | Subscribe | Subscribe | Subscribe |
| EV / EBITDA (TTM) Enterprise value / EBITDA |
8.23x | Subscribe | Subscribe | Subscribe | Subscribe |
| EV / Sales (TTM) Enterprise value / revenue |
1.33x | Subscribe | Subscribe | Subscribe | Subscribe |
Multi-period multiples, dispersion and cross-industry percentile rankings for Employment Agencies Industry require a subscription or commercial license.
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.
| Metric | Q1 2026 TTM | Q4 2025 TTM | Q3 2025 TTM | Q2 2025 TTM | Q1 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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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.
| 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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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.
What the market pays for Employment Agencies Industry
Employment Agencies Industry trades at 16.35x trailing earnings, 8.23x EV/EBITDA, 1.51x sales. Against book value it is priced at 2.27x. The implied free-cash-flow yield is 7.13%.
Measured against its own five-year average P/E of 14.33x, the industry currently trades about in line with usual (about 0.44 standard deviations below its history). In our composite valuation ranking it lands in the 84th percentile across every industry we track.
For a portfolio manager or sell-side analyst this is a premium-multiple read. 16.35x earnings and 8.23x EV/EBITDA is what the market pays for growth or quality, and the live question is whether the growth rate justifies it. M&A and corporate-development teams use the same comparable multiples to screen targets, and allocators weigh the sector against its history before adding or trimming.
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 16.35x earnings, 8.23x EV/EBITDA 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
CommercialThe 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.
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.
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.
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.
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.
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.
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.
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