EBITDA Multiples by Industry 2026: Complete Valuation Guide

If you are considering selling your business, acquiring a company, or simply benchmarking your enterprise value against peers, the single most important number in your analysis is the EBITDA multiple for your industry.

EBITDA multiples are the standard valuation metric in mergers and acquisitions. They tell you what buyers are willing to pay per dollar of earnings across different industries and deal sizes. A manufacturing company with $3 million in EBITDA and a 6.5x multiple has an implied enterprise value of $19.5 million. A SaaS company with the same $3 million EBITDA at a 14.2x multiple is worth $42.6 million. Same earnings, very different valuations.

This guide compiles the most current EBITDA multiples by industry for 2026, sourced from GF Data, PitchBook, S&P Capital IQ, DealStats, and publicly available transaction data. We update this page monthly. Whether you are a business owner planning an exit, an M&A advisor benchmarking deal comps, or a PE professional evaluating targets, this is the reference you need.

What Are EBITDA Multiples?

The formula is straightforward:

Enterprise Value = EBITDA x Industry Multiple

Enterprise value includes equity value plus net debt. EBITDA strips out financing decisions (interest), tax jurisdictions, and non-cash accounting items (depreciation and amortization) to create an apples-to-apples comparison of operating earnings across businesses. This is why EBITDA multiples, not revenue multiples or P/E ratios, are the dominant valuation metric in private company M&A transactions.

The multiple itself is driven by supply and demand: how many qualified buyers want businesses in your industry, how much capital they have to deploy, and what return expectations they need to meet. When PE firms have $2.6 trillion in dry powder and interest rates are falling, multiples expand. When credit tightens and deal volume slows, multiples compress.

EBITDA Multiples by Industry — 2026

The table below shows current EBITDA multiples for 25+ industries based on middle market transaction data ($5M–$250M enterprise value). Median multiples represent the midpoint of completed deals. Ranges reflect the 25th to 75th percentile. Trends indicate directional movement over the past 12 months.

Sources: GF Data (Q4 2025 – Q1 2026), PitchBook (2025 annual), S&P Capital IQ, DealStats (BVR), Capstone Partners sector reports, and publicly disclosed transaction data. Multiples represent middle market transactions ($5M–$250M EV). Figures are based on trailing twelve months (TTM) adjusted EBITDA. Updated April 2026.

Factors That Affect EBITDA Multiples

Industry is the starting point for determining your EBITDA multiple, but it is not the only factor. Within any given industry, multiples can vary by 2x-4x based on company-specific characteristics. Here are the six factors that matter most to buyers:

1. Revenue Growth Rate

Buyers pay for future earnings, not just current ones. A company growing at 25%+ annually will command a meaningful premium over a flat or declining business in the same industry. In SaaS, the difference between 10% and 40% growth can shift the multiple from 8x to 18x. GF Data reports that high-growth companies (top quartile) received multiples 1.8x higher than their slow-growth peers in 2025.

2. Margin Profile

Higher EBITDA margins signal pricing power, operational efficiency, and defensibility. A professional services firm operating at 30% EBITDA margins is worth considerably more than one at 12% margins, even with similar revenue. Gross margin matters too: it indicates how much room the business has for reinvestment and how resilient earnings are under competitive pressure.

3. Recurring Revenue and Revenue Quality

Revenue that renews automatically (subscriptions, multi-year contracts, maintenance agreements) is worth more than project-based or one-time revenue. Insurance agencies command high multiples because 85-95% of revenue renews annually. Manufacturing companies with long-term supply agreements trade at premiums over those dependent on spot orders. Buyers apply a 1.0x-3.0x premium for businesses with 80%+ recurring revenue vs. those with mostly transactional revenue.

4. Customer Concentration

If one customer represents more than 20% of revenue, expect a discount. If your top three customers represent 50%+ of revenue, the discount becomes severe. Buyers view customer concentration as existential risk: lose the relationship and the business fundamentally changes. The SBA and most lenders will also flag high customer concentration during financing diligence.

5. Total Addressable Market (TAM)

Companies in large, growing markets command higher multiples because acquirers see a longer runway for growth post-acquisition. A cybersecurity firm operating in a $300 billion global TAM has more room to grow than a niche consultancy in a $2 billion market. PE firms especially value TAM because they need room to execute buy-and-build strategies over a 5-7 year hold period.

6. Industry and Macro Trends

Secular tailwinds (aging population for healthcare, digital transformation for technology, infrastructure spending for construction) lift multiples across an entire sector. Conversely, regulatory headwinds, disintermediation threats, or cyclical downturns compress them. In 2026, the strongest tailwinds are in AI/ML, healthcare services, renewable energy, and accounting/CPA consolidation.

How to Use EBITDA Multiples to Value Your Business

Valuing a business using EBITDA multiples is a three-step process. Here is how it works, with a real-world example.

Worked Example: Manufacturing Company Valuation

In this example, a precision manufacturing company with $3.4M in adjusted EBITDA, growing at 15% annually with above-average margins, would command a 7.0x multiple (above the 6.5x median for manufacturing). After subtracting net debt, the owner's equity value is approximately $20.4 million. A well-run M&A advisory process with competitive tension among buyers could push that multiple to 7.5x-8.0x, adding $1.7M-$3.4M in incremental value.

EBITDA Multiple Ranges by Deal Size

One of the most significant factors affecting your EBITDA multiple is company size. Larger businesses command higher multiples because they have more diversified revenue streams, deeper management teams, lower key-person risk, and they attract a broader pool of institutional buyers. This is sometimes called the "size premium" in M&A valuation.

Sources: GF Data (2025-2026), DealStats (BVR), Axial Lower Middle Market Report. Multiples represent median ranges across industries. Industry-specific premiums and discounts apply on top of these size-based ranges.

SDE vs EBITDA: Which Metric Should You Use?

If you are a small business owner researching your company's value for the first time, you may see references to both SDE (Seller's Discretionary Earnings) and EBITDA. They measure similar things but are used in different contexts, and using the wrong one will give you an inaccurate valuation.

The key distinction: SDE assumes the buyer will replace the owner and run the business themselves. EBITDA assumes the business has a management team that can operate independently. If you are a dentist who personally generates 80% of your practice's revenue, SDE is the right metric. If you own a manufacturing company with a COO, CFO, and department heads running day-to-day operations, EBITDA is the correct baseline.

Using SDE multiples when you should use EBITDA (or vice versa) will dramatically skew your valuation. SDE multiples are lower (2x-4x) because the buyer is also "buying a job." EBITDA multiples are higher (4x-15x+) because the buyer is purchasing a self-sustaining business with transferable cash flows.

Current M&A Market Trends Affecting Multiples in 2026

EBITDA multiples do not exist in a vacuum. They are shaped by macroeconomic conditions, capital availability, and sector-specific forces. Here are the trends most directly impacting valuations in 2026:

Interest Rate Easing Has Expanded Multiples

The Federal Reserve cut rates three times in late 2025, bringing the fed funds rate to the 4.00%-4.25% range. Lower borrowing costs directly affect M&A multiples because buyers can leverage more debt at lower rates, effectively paying higher prices while maintaining acceptable returns. GF Data reports that multiples expanded 0.3x-0.5x across most sectors following the rate cuts, with the most significant expansion in capital-intensive industries like manufacturing and construction where leverage is a larger component of deal financing.

PE Dry Powder Remains at Record Levels

Private equity firms hold over $2.6 trillion in uninvested capital (Preqin, Q1 2026), the highest level on record. Fund managers face increasing pressure to deploy capital before fund lives expire, which creates competition for quality assets and supports premium multiples. This is particularly pronounced in sectors where PE has active buy-and-build strategies: healthcare, insurance, technology, waste management, and accounting.

AI Premium Is Real and Growing

Companies with genuine AI/ML capabilities, whether in their product, operations, or data infrastructure, are commanding meaningful valuation premiums. Pure-play AI companies are seeing multiples of 15x-25x+ EBITDA when profitable. Even traditional businesses that have integrated AI into their operations (predictive maintenance in manufacturing, AI-driven pricing in retail, automated underwriting in insurance) are seeing 1.0x-2.0x multiple expansion compared to non-AI peers.

Consolidation Waves in Professional Services

PE-backed consolidation is reshaping several professional services sectors. Accounting/CPA firms are experiencing the most aggressive roll-up activity, with multiples rising from 5-6x two years ago to 7.5-10.5x today. Legal services, veterinary, dental, and home services are following similar patterns. If you operate in a sector where PE-backed platforms are actively acquiring, your multiple is likely higher than historical averages would suggest.

Quality Premium Has Widened

The spread between top-quartile and bottom-quartile multiples within the same industry has widened significantly. In 2023, the spread was typically 1.5x-2.5x. In 2026, GF Data reports spreads of 3.0x-5.0x in several sectors. Buyers are increasingly willing to pay premium prices for exceptional businesses but are aggressively discounting average or below-average performers. The "good enough" business no longer gets a good enough multiple.