Estimate your business value using industry-specific valuation multiples. Calculate EV/EBITDA, EV/Revenue, and earnings-based valuations for M&A transactions.
A valuation multiple compares enterprise value to a financial metric like EBITDA or revenue. The global median M&A EV/EBITDA multiple is approximately 10.7x in mid-2026. PE-led deals average 12.6x versus 9.8x for corporate acquisitions. Q2 2026 set the highest quarterly deal value this century at $1.7 trillion, though deal count hit its lowest since 2020, creating a K-shaped M&A environment. Multiples vary from 5-7x in lower middle market manufacturing to 12-25x in software, with company size as the single strongest driver.
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Software/SaaS Multiples:
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A valuation multiple is a ratio that compares a company's enterprise value or equity value to a financial metric such as revenue, EBITDA, or net income. Multiples provide a market-based way to estimate business worth by benchmarking against comparable transactions. The global median trailing M&A EV/EBITDA multiple rose to approximately 10.7x in mid-2026, the highest level since 2021, with PE-led transactions averaging 12.6x versus 9.8x for corporate-led deals. Q2 2026 set the highest quarterly deal value this century at approximately $1.7 trillion, though the market is distinctly K-shaped: deal volume fell to its lowest quarterly count since 2020, driven by a 40% year-over-year surge in megadeals (transactions above $5 billion) per Bain & Company.
The three most common valuation multiples are EV/EBITDA, EV/Revenue, and P/E ratio. EV/EBITDA is the primary multiple in M&A because it normalizes for capital structure and non-cash charges. EV/Revenue suits high-growth or pre-profit companies. P/E is used mainly for public company comparisons. Use the EBITDA calculator to determine your company's adjusted EBITDA before applying a multiple.
Industry context drives the multiple range. Private SaaS companies have stabilized at 4-5.5x ARR in the lower middle market in 2026, while public SaaS entered 2026 at 6-7x EV/Revenue before compressing under AI disruption pressure. Lower middle market manufacturing trades at 5-7x EV/EBITDA for businesses with $2-5M EBITDA, scaling to 6.5-8.5x for $10-25M EBITDA platforms per GF Data. The average PE-sponsored middle market transaction closed at 7.2x across 2025, a level expected to remain flat through 2026. IT and healthcare sectors command 12-13x, though healthcare M&A multiples have moderated to approximately 11.5x in 2026, down from 14.5x the prior year. Calculate the appropriate discount rate for your DCF cross-check using the WACC calculator.
Private company valuations typically apply a 20-40% illiquidity discount to public company multiples. The discount narrows for larger companies (above $50M revenue) and widens for businesses under $5M revenue due to limited buyer pools. Company size is the single most predictable driver of EBITDA multiples: a $20M EBITDA business commands a 30-60% higher multiple than a $3M EBITDA business in the same sector. Combine multiple-based estimates with a DCF analysis to triangulate a defensible valuation range.
Enterprise Value = EBITDA x EV/EBITDA Multiple
or
Enterprise Value = Revenue x EV/Revenue Multiple
or
Equity Value = Net Income x P/E Multiple
Find similar businesses in terms of industry, size, growth rate, and business model. For private companies, use public comparables and apply an illiquidity discount.
Obtain EV/EBITDA, EV/Revenue, or P/E multiples from comparable transactions or trading multiples. Calculate using the EBITDA calculator if needed.
Multiply your company's metric by the selected multiple. Use median multiples for conservative estimates, and consider a range using low and high multiples.
Apply premiums or discounts for factors like customer concentration, management quality, recurring revenue, and growth trajectory. A P/E ratio analysis helps benchmark against public comparables.
If using Enterprise Value multiples, subtract net debt (total debt minus cash) to arrive at equity value, which represents what shareholders would receive.
Valuation multiples offer a fast, market-based estimate by comparing your company to similar transactions; DCF analysis calculates intrinsic value by discounting projected future cash flows. Most M&A professionals use both methods together. When the two approaches diverge by more than 25%, the gap typically points to a flawed assumption in growth rate, discount rate, or comparable selection that merits further investigation.
Most professional valuations use both approaches. The DCF calculator provides the intrinsic value perspective, while multiples offer a market-based reality check. When the two methods diverge significantly, investigate the assumptions: the WACC calculator helps verify whether the DCF discount rate aligns with the implied cost of capital from comparable transactions.
A B2B SaaS company with $8M ARR, 25% EBITDA margin, and 30% year-over-year growth is being acquired by a strategic buyer.
EBITDA = $8M x 25% = $2M
EV/EBITDA (18x median): $2M x 18 = $36M
EV/Revenue (5x median): $8M x 5 = $40M
Blended Estimate: ~$37-40M Enterprise Value
The strategic buyer paid $42M (5.25x revenue) due to synergies and strong net revenue retention. Private SaaS valuations have stabilized at 4-5.5x ARR in 2026, with companies exceeding the Rule of 40 commanding significant premiums. Use the SaaS Valuation Calculator for recurring-revenue-specific metrics.
A precision manufacturing company with $15M revenue, $2.4M EBITDA (16% margin), and stable 3-5% annual growth seeks to sell to a private equity firm.
EV/EBITDA (8x median): $2.4M x 8 = $19.2M
EV/Revenue (1x median): $15M x 1 = $15M
Blended Estimate: ~$17-19M Enterprise Value
The PE firm acquired the company for $18M (7.5x EBITDA). GF Data shows PE-sponsored middle market deals averaging 7.2x in 2025, with $10-25M TEV transactions at 5.9x and $100-250M TEV reaching 10.0x. Engineered-product specialists with IP and customer lock-in can reach 9-12x. Verify your book value as an asset-based floor, and calculate IRR to compare the implied return at different entry multiples.
A consulting firm with $6M revenue, $1.2M EBITDA (20% margin), and strong client relationships but significant owner dependency is seeking a management buyout.
EV/EBITDA (9x median): $1.2M x 9 = $10.8M
EV/Revenue (1.5x median): $6M x 1.5 = $9M
After owner-dependency discount (25%): ~$7.5-8M
The MBO was structured at $7.5M with earnouts tied to client retention. Professional services firms often receive discounts for owner dependency and key person risk, which can be partially mitigated through structured earnouts.
Even experienced professionals make errors when applying valuation multiples. Avoid these pitfalls to produce more accurate and defensible valuations for M&A, fundraising, or strategic planning.
Applying public company EV/EBITDA multiples directly to a private business overstates value by 20-40%. A manufacturing company trading at 10x as a public peer should be valued at 6-8x privately, reflecting illiquidity and buyer pool limitations. Always apply a private company illiquidity discount before benchmarking against public comparables.
Company size is the single most predictable driver of EBITDA multiples. A $20M EBITDA business commands a 30-60% higher multiple than a $3M EBITDA business in the same sector. Using industry averages without adjusting for size leads to significant overvaluation of smaller companies and undervaluation of larger ones. Validate your EBITDA calculation first, then apply size-appropriate multiples.
Using only EV/EBITDA or only EV/Revenue produces a single-point estimate that may be misleading. Professional valuations triangulate between at least two multiple methods and a DCF analysis. When the methods diverge by more than 25%, investigate which assumptions are driving the gap.
During the 2022-2023 rate cycle, technology M&A multiples fell from 18-22x to 12-15x EV/EBITDA. Even in mid-2026, the market is K-shaped: megadeal values hit record highs while lower middle market deal volume is at decade lows. Using historical peak multiples or headline deal values as a benchmark for a $5M EBITDA business produces misleading valuations. Always benchmark against size-appropriate, recent comparable transactions in the current rate environment.
EV/EBITDA yields enterprise value (debt + equity), while P/E yields equity value. Failing to subtract net debt when converting from EV to equity value is one of the most common errors. For a company valued at $10M EV with $3M debt and $500K cash, equity value is $7.5M, not $10M.
Multiples don't distinguish between sustainable and one-time earnings, or between organic growth and acquisition-driven growth. A company with inflated EBITDA from one-time cost cuts or customer prepayments will appear overvalued once earnings normalize. Run a free cash flow analysis to validate earnings quality.
The global median trailing M&A EV/EBITDA multiple rose to approximately 10.7x in mid-2026, the highest since 2021, but ranges vary widely by sector and deal type. PE-led deals average 12.6x versus 9.8x for corporate-led acquisitions, reflecting approximately $3.7 trillion in accumulated PE dry powder. GF Data reports the average PE-sponsored middle market deal closing at 7.2x, with significant variation by deal size: $10-25M TEV at 5.9x versus $100-250M TEV at 10.0x. Use the IRR Calculator to compare implied returns at different entry multiples, or explore the Investment tools hub.
| Industry | EV/EBITDA Range | Key Driver |
|---|---|---|
| IT / Software | 12-25x | Recurring revenue, scalability |
| Healthcare Services | 8-14x | Regulatory moats, stable demand |
| Professional Services | 6-12x | Specialization, client retention |
| Manufacturing (LMM) | 5-8.5x | Size-dependent: 5-7x at $2-5M EBITDA, 6.5-8.5x at $10-25M |
| E-commerce | 3-10x | Brand strength, traffic diversification |
| Retail | 5-9x | Location, margins, omnichannel |
| Restaurant / Hospitality | 3-7x | Unit economics, concept scalability |
Pair this tool with the WACC Calculator for discount rates, the SaaS Valuation Calculator for recurring revenue businesses, and the Book Value Calculator to cross-check asset-based floor values. For strategic context, read our e-commerce valuation case study.
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