Why This Number Matters More Than You Think
Most founders don't find out what their business is worth until they're already in a deal process - which is the worst time to figure it out. You either get surprised by a lowball offer and take it because you need the liquidity, or you walk away from a real buyer because your expectations were built on country-club math, not actual market data.
EBITDA multiples are the single most important benchmark in private M&A. If a buyer is paying a 5x EBITDA multiple on a business generating $1M in annual EBITDA, they're paying $5M for that business. That's the core math. Everything else - growth rate, customer concentration, recurring revenue - is an input that shifts that multiple up or down.
I've been through this five times on the exit side. The founders who get the best outcomes aren't necessarily running the best businesses. They're the ones who understood what drives valuation before they went to market, and spent 12-24 months engineering their metrics accordingly. This guide is about giving you that same clarity.
How EBITDA Multiples Actually Work
The Enterprise Value-to-EBITDA multiple is a ratio that divides your company's enterprise value by its earnings before interest, taxes, depreciation, and amortization. It answers one question for the buyer: how many years of current cash flow am I paying for this business?
The multiple-based approach to valuation is built on the principle that businesses within the same industry should be valued comparably. If a similar services business sold for 6x EBITDA last quarter, that's the anchor for every other deal in that space. Buyers and their M&A advisors use comparable transactions - comps - to establish realistic ranges before they even look at your specific numbers.
One important caveat: multiples are benchmarks, not price tags. The market dictates a private company's value, and different buyers assess that value differently based on their financial capacity and your strategic fit with their portfolio. A strategic acquirer who can cut your back office and roll you into their platform will pay more than a financial buyer who just wants your cash flow.
There's also a critical distinction between what you see quoted for public companies and what actually happens in private deals. Public company EBITDA multiples are systematically higher than private company multiples for comparable businesses - the gap reflects the liquidity premium, transparency premium from quarterly reporting and audited financials, and the scale premium since public companies are typically much larger. Never use public company multiples to value a private business without applying a meaningful discount. The Damodaran NYU Stern data that most people cite reflects public markets - real private transactions close at meaningfully lower numbers.
The Current State of the Market
Before we get into sector breakdowns, it's worth understanding where the overall market actually sits. The median selling price per EBITDA across all private company industries has been volatile. After hitting a high-water mark in the post-pandemic period, multiples have moderated. The median came in at 4.3x in early periods, climbed to 4.8x, then pulled back sharply to around 3.2x-3.5x before stabilizing. The current middle market PE average sits in the 7.2x-7.5x range for PE-sponsored deals, though that number reflects a much larger deal universe than most lower middle market founders are operating in.
The honest picture for founder-owned businesses under $5M in EBITDA is that the vast majority of deals close below 6x. Real transaction data consistently shows over 80% of lower middle market deals landing under 7x EBITDA. That doesn't mean you can't achieve a premium - it means you have to earn it deliberately.
The current deal environment is bifurcated. Premium assets with recurring revenue, clean financials, and proven management teams are commanding strong multiples. Everything else is getting compressed. If you're building toward an exit, knowing which side of that bifurcation you're on is the most important question you can answer today.
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Access Now →EBITDA Multiples by Industry: The Real Ranges
Across all private company transactions, the median selling price per EBITDA has generally hovered in the 4x-5x range for most of the lower middle market. But that median hides enormous variance by sector. Here's where industries actually land:
Technology and Software (SaaS)
Software is the king of EBITDA multiples. High-growth private SaaS companies that haven't hit profitability are still largely priced on ARR multiples rather than EBITDA - buyers are valuing future recurring revenue, not today's earnings. But the dynamic is shifting materially. EV/EBITDA is becoming an increasingly relevant metric for SaaS valuation as the industry matures and more companies reach profitability - something that was almost never said a few years ago. Median SaaS EBITDA margins have turned positive and continued expanding, confirming that profitability is no longer cyclical or tactical but a structural and valuation-defining characteristic of the modern SaaS sector.
For private SaaS companies that have reached profitability, EBITDA multiples in the 8x-12x range are realistic when growth is below 15%, since buyers shift from treating them as growth assets to treating them as cash flow assets. For high-growth private SaaS, valuations have stabilized in the 4x-5.5x ARR range for lower middle market companies. The Rule of 40 - where your revenue growth rate plus EBITDA margin should exceed 40 - is the quick diagnostic buyers use to assess which valuation framework applies to your business.
SaaS commands premium multiples for three structural reasons: the revenue is recurring and highly predictable, gross margins typically exceed 70-80%, and adding the next customer costs almost nothing in variable cost, which means growth produces disproportionate EBITDA expansion. Buyers are paying for that compounding potential.
Information and Media
The information sector has shown some of the highest EBITDA multiples in private company transactions, with the sector yielding median multiples as high as 20x in certain measurement periods. Digital businesses with strong audience assets, recurring subscription revenue, and low owner-dependence command significant premiums. Content sites and media assets with diversified traffic sources also benefit from this multiple expansion. The key driver is predictability - a business with a loyal subscriber base and multiple traffic channels looks very different to a buyer than one dependent on a single platform or traffic source.
Finance and Insurance
Finance and insurance businesses have consistently come in among the highest-valued sectors for private companies, with median EBITDA multiples around 9x. The combination of predictable recurring revenue, regulatory moats, and strong cash conversion makes these businesses highly attractive to institutional buyers. Insurance businesses in particular have seen valuation expansion as buyers recognize the renewal-based revenue model as close to SaaS-level predictability in a traditional industry.
Healthcare and Medical Services
Healthcare businesses with stable demand and regulatory barriers achieve EBITDA multiples in the 5x-7x range for professionally managed operations. The predictable cash flow from Medicare reimbursements, aging demographics, and high switching costs all support premium valuations. Specialty medical services and home healthcare agencies tend to land at the upper end of this range. The biggest risk factors that compress healthcare multiples are payor concentration, regulatory compliance exposure, and key-physician dependence - the same dynamic as founder-dependence in other industries, but with an additional layer of licensing complexity.
Professional and Business Services (Agencies)
This is the category most readers of this site care about. Marketing agencies, consulting firms, and professional services businesses are typically valued in the 3x-6x EBITDA range for owner-operated businesses. The ceiling depends almost entirely on how owner-dependent the business is. An agency where the founder is running every client relationship is worth 3x. An agency with a real management team, documented processes, and diversified client revenue can push toward 6x or higher.
Revenue multiples for professional services generally run 0.6x-1.0x, which tells you why smart agency owners focus on improving EBITDA margins before going to market. A 20% EBITDA margin with $2M revenue is a much better story than a 10% margin with $3M revenue when you're selling on EBITDA. Modern buyers also price digital marketing agencies on EV/EBITDA with bands that flex for retainer mix, net revenue retention, utilization rates, delivery margin, and client concentration - all factors you can work on before going to market.
If you want a framework for positioning your agency before a sale, start with the 7-Figure Agency Blueprint - it covers the operational systems that matter to acquirers.
Home Services and HVAC
Home services businesses show more multiple variance than most people realize, and the driver is almost entirely recurring revenue. A $4M EBITDA HVAC company with 60% of revenue from recurring maintenance agreements can trade at 8x-9x. The same business with 20% recurring and 80% install and project work trades at 5x-6x. That's a $12M to $16M enterprise value difference on identical EBITDA. Building a maintenance contract base is the single highest-ROI activity a home services owner can do in the years before a sale. If you're in this space and not converting install customers to maintenance agreements, you're leaving serious money on the table.
Manufacturing
Manufacturing businesses show significant range depending on specialization, customer concentration, and recurring order flow. The sector divides sharply between asset-heavy commodity manufacturers in the 5x-7x range and engineered-product specialists with IP and customer lock-in at 9x-12x. Reshoring trends, supply chain diversification, and defense spending have provided a tailwind to manufacturing valuations recently. Capital expenditure intensity is the key differentiator buyers evaluate: EBITDA ignores capex, but the multiple does not. A manufacturer spending 15% of revenue on equipment maintenance and replacement is a fundamentally different cash flow asset than a software business with near-zero capex needs.
E-commerce and Retail
E-commerce multiples have stabilized after the pandemic-era volatility. Digital commerce businesses trade at roughly 3x-4x profit/EBITDA, with deal size and revenue predictability being the main differentiators. Pure e-commerce businesses with heavy reliance on paid traffic and no defensible moat sit at the bottom of the range. Brands with owned audiences and strong repeat purchase rates push higher. The fundamental challenge in e-commerce exits is demonstrating that cash flow is sustainable - buyers haircut anything that looks like it depends on a single advertising channel or marketplace relationship. If you're building toward an exit in e-commerce, Flippa publishes live marketplace data across e-commerce, SaaS, content sites, and apps, based on actual completed transactions - worth monitoring to understand what the real buyer market looks like.
Accommodation and Food Service
Restaurants and hospitality businesses sit at the bottom of the EBITDA multiple stack, typically in the 2x-3x range. High labor intensity, thin margins, lease liabilities, and operator-dependence suppress valuations. This is a sector where EBITDA multiple comparisons to tech companies genuinely aren't useful - you're in a different asset class entirely. If you're in food service and planning an exit, the multiple conversation is almost secondary to the real estate and lease structure conversation, which often determines more of the transaction value than the operating business itself.
Real Estate and Property Services
Real estate services businesses have seen multiple expansion recently, with notable increases in transaction prices. Property management companies with recurring revenue from long-term management contracts trade at higher multiples than transaction-based brokerages, where revenue is lumpy and tied to market cycles. The recurring vs. transactional revenue split matters as much in real estate services as it does in any other sector.
Transportation and Logistics
Transportation and warehousing businesses have also seen multiple expansion. Asset-light logistics businesses - particularly those with technology components and contracted revenue - command better multiples than asset-heavy trucking operators. The asset-intensity question follows the same logic as manufacturing: EBITDA ignores the capital required to sustain the business, and sophisticated buyers model free cash flow to equity, not just operating earnings.
Construction and Contracting
Construction businesses typically trade in the 3x-5x range, with significant compression applied for project-based revenue, bonding requirements, and the lumpiness of the backlog. The exception is specialty contractors with recurring maintenance and service revenue - the same dynamic as home services. A general contractor without a recurring revenue component is fundamentally a project pipeline, and buyers price that risk accordingly.
Staffing and Recruiting
Staffing businesses trade at relatively lower multiples given the people-intensive nature of the model and the low switching costs for clients. Typical ranges run 4x-6x for established businesses with diversified client bases. Executive search and specialized technical recruiting firms command premiums given their differentiation and the defensibility of their candidate networks. The recurring-ness question here is about client stickiness and long-term staffing relationships versus one-off placement fees.
The Size Premium: Why Your EBITDA Dollar Amount Matters as Much as Your Multiple
One of the most underappreciated dynamics in private M&A is the size premium - the fact that larger businesses command higher multiples than smaller businesses in the same industry, even with identical margins and growth rates. This isn't just a theory. Transaction data consistently confirms it.
A $20M EBITDA business can attract 30-60% higher multiples than a $3M EBITDA business in the same industry. The mechanics behind this are straightforward. A company with $2M in EBITDA primarily attracts search funds, independent sponsors, and smaller PE firms. A company with $8M in EBITDA attracts the full spectrum of lower middle market PE firms, family offices, and strategic acquirers. More qualified buyers means more competitive tension, which translates directly into a higher final multiple.
Size also affects financing availability. Senior lenders are more willing to provide acquisition financing for larger transactions with more predictable cash flows. A $30M transaction can typically secure 3x-4x senior leverage, whereas a $10M transaction may only support 2x-2.5x. Lower leverage means buyers need more equity, which compresses the price they can pay.
The practical implication: for owners of companies in the $1M-$3M EBITDA range, growing into the next size bracket can add more enterprise value than improving margins by several percentage points. If you're sitting at $2M in EBITDA and you can get to $4M or $5M before going to market, that's not just doubling your earnings base - it's also expanding the multiple that earnings base gets applied to. That's compounding in the best possible way.
Companies below $2M in EBITDA often trade at lower multiples due to what the market calls a small company discount. Companies above $10M in EBITDA may command premium multiples due to institutional buyer interest and capital markets access. Applying the wrong industry median without accounting for size can produce a valuation estimate that's 20-40% above or below your actual fair market value.
Adjusted EBITDA: The Number That Actually Gets Valued
Here's something most exit guides gloss over: buyers don't value your business on the EBITDA figure you know best. They value it on the EBITDA figure they believe will survive diligence. Understanding the difference between reported EBITDA and adjusted EBITDA - and how to build a defensible bridge between them - can add millions of dollars to your transaction value.
Adjusted EBITDA, also called normalized EBITDA, measures the operating cash flow generated by your core business activities with discretionary adjustments to remove the effects of non-recurring items and irregular events. Every dollar of add-back gets multiplied by your transaction multiple, which is why this matters so much in practice.
Common legitimate add-backs include excess owner compensation above a market-rate replacement salary, one-time professional fees like litigation costs or M&A advisory fees, personal expenses run through the business such as vehicles and personal travel, below-market rent on owner-held real estate, and one-time recruiting or restructuring costs that won't recur post-acquisition. If you're paying yourself $600K in a market where a replacement CEO costs $200K, that $400K difference is a legitimate add-back - and at a 5x multiple, that's $2M of additional enterprise value sitting in your comp structure.
The math compounds fast. A company reporting $4M in EBITDA might present $4.55M in adjusted EBITDA after identifying excess owner compensation, one-time legal expense, and personal travel run through the business. At a 6.5x multiple, the difference between those two numbers implies roughly $3.6M of additional enterprise value. That's not a theoretical exercise - that's a real outcome that preparation creates.
The catch: add-backs have to be documented, truly non-recurring, and supportable under buyer scrutiny. Sophisticated buyers run a Quality of Earnings (QoE) analysis that validates every add-back in your bridge, tests revenue quality, examines customer concentration dynamics, and reviews gross margin behavior. The QoE findings often directly affect the final purchase price or earnout structure. Well-prepared sellers who have built a defensible normalization bridge before going to market are in a much stronger negotiating position than sellers who let the buyer define the earnings narrative.
If you're 18 months from a transaction, start building your adjusted EBITDA schedule now. Document every add-back with receipts, contracts, or third-party evidence. Identify negative adjustments early - if you'd need to hire a new role post-acquisition, that cost gets added back against you, and it's better to know that before the LOI than after. The most common mistake is waiting until the data room stage to figure this out, at which point the buyer has all the leverage.
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Try the Lead Database →The Factors That Move Your Multiple Up or Down
The industry benchmark is just the starting point. What actually determines where in the range you land comes down to five variables:
- Recurring revenue: Subscription, retainer, or contract revenue beats project-based revenue in every industry. Research across multiple data sources shows recurring revenue adds a 15-60% premium to EBITDA multiples depending on the sector. Buyers pay a premium for cash flows they can model. Businesses with 70%+ recurring revenue consistently earn a 1.5x-2.0x multiple premium over transaction-based models. If you run an agency on month-to-month retainers, locking clients into longer contracts before going to market can materially shift your multiple.
- Owner independence: Buyers pay less when the founder is irreplaceable. An indispensable founder creates a 15-25% discount to the industry median multiple. Documenting processes, delegating key client relationships, and building a management layer that can run operations without you is one of the highest-leverage things you can do before an exit. Getting your largest customer below 15% of revenue can also add 1x-2x to your multiple by itself.
- Company size: Larger companies tend to attract higher multiples. A $5M EBITDA business gets more buyer attention, better deal terms, and higher multiples than a $500K EBITDA business - even in the same industry. More EBITDA equals more buyers equals more competitive tension equals a better price. The size premium is real, consistent, and large enough to be a core part of your exit strategy.
- Customer concentration: Customer concentration is the most common multiple compressor in the middle market. Above 20-25% revenue from a single customer, expect a 0.5x-1.0x reduction in your EBITDA multiple. Above 40-50% from your top three customers, the discount can reach 1x-2x. If one client represents 40% of your revenue, every sophisticated buyer will haircut your valuation. Concentrate risk removal into client diversification well before you go to market.
- Growth trajectory: A business growing at 20% per year is worth more than an identical business flat at the same revenue. Recent growth also matters - buyers weight the last 12 months heavily. A cohesive management team with clear succession planning may add 10-15% to the multiple. Key employee turnover is one of the strongest negative signals a buyer can see during diligence.
Strategic vs. Financial Buyers: The Multiple Gap That Changes Everything
Not all buyers are the same, and the type of buyer you attract determines a significant portion of your final outcome. Understanding the two primary buyer categories - financial buyers and strategic buyers - and how to position for each is worth more than almost any other preparation you can do.
Financial buyers are private equity firms, family offices, and search funds buying your business primarily as a cash flow investment. They're underwriting to a required return and using leverage to amplify it. Their multiple is constrained by their cost of capital, available debt financing, and portfolio return requirements. In the current environment, PE-sponsored middle market deals average around 7.2x-7.5x EBITDA. Financial buyers will apply a disciplined QoE process, push hard on add-back validity, and negotiate working capital pegs carefully.
Strategic buyers are companies in your industry or an adjacent one who are acquiring your business for operational reasons - your customer base, your technology, your team, your market position, or the ability to eliminate overhead by rolling you into their platform. Strategic buyers can often pay significantly more than financial buyers because they can justify synergies that a pure financial buyer can't underwrite. The premium for strategic fit is real and can add 1x-3x to your multiple relative to what a financial buyer would pay.
The implication: before going to market, map the strategic buyer universe for your business. Who would benefit most from owning your customer relationships, your processes, or your market position? A well-run competitive process that puts strategic buyers and financial buyers in the same room creates tension that moves multiples. The difference between negotiating with one buyer and running a real competitive process is often 1x-2x on the final number. Never negotiate with a single buyer.
Off-market acquisitions - where a buyer engages you directly without a competitive process - consistently close at 15-30% lower multiples than properly run auctions. That discount is what the buyer keeps when you skip the process. Hiring an M&A advisor to run a competitive process is usually the highest-ROI investment a seller can make.
The Agency Owner's Exit Equation
If you run an agency and you're thinking about exit, the levers are different than they are for SaaS. You're not going to get a 15x multiple on EBITDA. What you can realistically target is 4x-6x if you build the right infrastructure. Here's what actually moves the needle:
First, shift from project revenue to retainer revenue wherever possible. A book of monthly retainers is worth two or three times what the same dollar volume in one-time projects is worth to an acquirer. Modern buyers price agency businesses with explicit bands for retainer mix - the higher your percentage of contracted recurring revenue, the higher you land in the multiple range.
Second, systemize your service delivery so that the work happens without you. Use tools like Trainual to document your standard operating procedures and onboarding flows. Buyers love seeing a business that could onboard a new team member in week one without the founder's involvement. If the only place your processes live is in your head, that's a risk discount, not a neutral data point.
Third, clean up your financials 18-24 months before you go to market. That means separating personal expenses from business expenses, identifying and documenting legitimate EBITDA add-backs, and showing clean year-over-year growth. Buyers don't pay full multiples for messy books. Adjusted EBITDA margins above 25% correlate with premium valuations across all industries in the lower middle market - margin stability through economic cycles signals pricing power and operational discipline, both of which buyers pay for.
Fourth, diversify your client base aggressively. Diversified revenue across 50+ customers with no single customer exceeding 10% earns a measurable premium. This isn't just about valuation theory - it's about what a buyer can actually model and finance. A concentrated client book means they're buying a relationship, not a business, and they'll price that risk into their offer.
I walk through the full client acquisition and positioning framework inside the Discovery Call Framework - worth reviewing if you're thinking about tightening your sales process in the run-up to an exit.
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Access Now →EBITDA vs. Revenue Multiples: Which One Applies to You?
This is where a lot of founders get confused. EBITDA multiples are the dominant framework for mature, cash-generative businesses. Revenue multiples show up primarily in high-growth tech and SaaS deals where profitability hasn't arrived yet - early-stage SaaS, biotech, and pre-revenue businesses where EBITDA is negative or meaningless.
For most agency owners and service businesses, EBITDA is the relevant metric. If you're running a profitable business that isn't burning cash to acquire customers, buyers will price you on earnings. The practical implication: improving your EBITDA margin is more valuable than growing revenue if you're 18-24 months from an exit.
For SaaS founders, the picture is more nuanced. Companies below 15% annual growth are increasingly priced on EBITDA multiples rather than ARR multiples. Companies growing above 40% annually with strong retention and gross margins above 70-80% can still command revenue multiples. The Rule of 40 is the quick diagnostic: if your growth rate plus EBITDA margin exceeds 40, you're likely still in revenue-multiple territory. Below 40, expect buyers to start anchoring on earnings.
One thing to watch: if a buyer is quoting you a revenue multiple instead of an EBITDA multiple, they are either comparing you to early-stage companies or trying to obscure a low earnings multiple. Know which metric actually applies to your situation so you can evaluate any offer clearly.
How EBITDA Multiple Data Gets Built: Understanding Your Sources
When you're researching what your business might be worth, it matters a lot where the data comes from. Not all EBITDA multiple sources are built on the same foundation, and using the wrong dataset can lead you seriously astray.
The most-cited public dataset is Professor Aswath Damodaran's annual EV/EBITDA analysis from NYU Stern, which covers thousands of public companies across dozens of industries. The data is rigorous and updated annually. The key limitation: it's built on public company data. Public companies trade at a significant premium to private companies for the same reasons noted earlier - liquidity, scale, and transparency. Those multiples aren't directly applicable to a private company without meaningful downward adjustment.
For private transaction data, DealStats (from Business Valuation Resources) tracks actual completed private company transactions across 15+ industry sectors with median and percentile breakdowns. It's the most credible source for lower-middle-market benchmarks and the one most M&A advisors reference when building pitch materials. The Pepperdine Private Capital Markets Report surveys over 1,100 industry participants including lenders, investors, and business appraisers to get a snapshot of private capital markets. GF Data focuses specifically on PE-sponsored transactions in the $10M-$500M enterprise value range.
The limitation of all these datasets: they reflect completed transactions, not what buyers are willing to pay today. Market conditions shift, and the latest comp data may be 6-12 months old by the time it's published. For the freshest read, watching live marketplace data on platforms like Flippa for digital businesses or talking directly to active M&A advisors in your sector is often more current than published databases.
Equidam also publishes EBITDA multiples derived from Damodaran's public company dataset and mapped to their industry classification system - useful for benchmarking across a wide range of categories, with the caveat that public company multiples require discounting before application to private businesses.
How to Build Toward a Premium Multiple
Most founders focus on the wrong things when they think about exit prep. They chase revenue growth without fixing customer concentration. They improve margins but leave their processes in the founder's head. They go to market too early before their trailing twelve months tells a clean story.
Here's the actual sequence that works:
- Start 24 months out. Identify your multiple range based on industry comps. Know your target number. Reverse-engineer the gap between where you are and where you need to be.
- Fix customer concentration. No single client over 15% of revenue if you can help it. Getting below that threshold is worth more than almost any operational improvement you can make.
- Document everything. Operations, client onboarding, reporting, team management. If it's not written down, it doesn't exist to a buyer doing diligence. Tools like Trainual make this systematic rather than a one-time scramble.
- Drive recurring revenue wherever possible. Retainers, subscriptions, managed services, annual contracts. Every percentage point you move from project revenue to recurring revenue expands your multiple range.
- Hire or promote at least one operator who can run the business without you. This is the single most important structural change a founder-dependent business can make before going to market.
- Build your adjusted EBITDA schedule. Identify every legitimate add-back now and document it with evidence. Know what your normalized EBITDA looks like before a buyer's QoE team tells you their version.
- Clean up your books. Two to three years of clean, auditable financials is the minimum for a credible process. Separate personal from business, eliminate ambiguous expenses, and get a handle on your working capital requirements.
- Run a competitive process. The difference between one buyer and five buyers on a deal is often 1x-2x on the final multiple. A professionally managed auction with multiple qualified bidders consistently produces higher outcomes than bilateral negotiations. Never negotiate with a single buyer.
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Try the Lead Database →EBITDA Multiple Quick Reference: Industry Ranges at a Glance
Below is a working reference for private company EBITDA multiples by industry in the lower middle market. These ranges reflect actual transaction data, not public market comparables, and assume a properly normalized adjusted EBITDA figure with reasonable add-backs. Where you land within the range depends on the company-specific factors discussed throughout this guide.
| Industry | Typical Multiple Range | Key Multiple Drivers |
|---|---|---|
| SaaS / Software (profitable) | 8x - 12x | Growth rate, NRR, gross margins, churn |
| Information / Digital Media | 8x - 20x | Audience quality, subscription mix, platform diversification |
| Finance and Insurance | 7x - 11x | Renewal rates, regulatory moats, payor diversification |
| Healthcare Services | 5x - 8x | Payor mix, physician concentration, regulatory compliance |
| Home Services (recurring-heavy) | 7x - 9x | Maintenance contract percentage, service area size |
| Manufacturing (specialty) | 7x - 12x | IP, long-term contracts, capex intensity |
| Manufacturing (commodity) | 4x - 6x | Customer concentration, capex requirements |
| Professional Services / Agencies | 3x - 6x | Retainer mix, client concentration, owner independence |
| E-commerce / Digital Retail | 3x - 5x | Traffic channel diversification, repeat purchase rate |
| Construction / Contracting | 3x - 5x | Backlog quality, recurring maintenance revenue |
| Transportation / Logistics | 4x - 7x | Asset intensity, contracted revenue, tech component |
| Staffing / Recruiting | 4x - 6x | Client stickiness, specialization, margin profile |
| Restaurants / Hospitality | 2x - 4x | Location quality, lease structure, brand moat |
Use this as a starting anchor, then apply the multiple adjustments discussed throughout this guide - size premium, recurring revenue premium, customer concentration discount, and owner-dependence discount - to arrive at a realistic range for your specific business.
Where to Find Comparable Transaction Data
If you want to look up real comp data for your industry, the primary sources are DealStats (from BVR), the Pepperdine Private Capital Markets Report, and Damodaran's annual dataset from NYU Stern - which powers several public tools including Equidam's EBITDA multiples database. For digital businesses specifically, Flippa publishes live marketplace data across SaaS, e-commerce, content sites, and apps, based on actual completed transactions.
For private company M&A comp data, DealStats tracks transactions across 15+ industry sectors with median and percentile breakdowns. It's the most credible source for lower-middle-market benchmarks and the one most M&A advisors reference when building their pitch decks. GF Data focuses specifically on PE-sponsored deals in the lower middle market and is the most relevant benchmark for businesses in the $10M-$250M enterprise value range.
One thing worth emphasizing: Damodaran's public company data is an excellent reference for understanding how markets value different business characteristics, but it requires meaningful adjustment before it applies to a private business you're trying to sell. The liquidity discount, size discount, and transparency discount together can easily represent 30-50% of the headline public multiple. A public software company trading at 18x EBITDA implies a very different risk profile than a $5M revenue private software company - never confuse the two.
The Exit Prep Mindset: Engineering Your Multiple, Not Just Hoping for It
Everything in this guide points to one conclusion: your EBITDA multiple is not fixed by your industry. It's a range, and where you land in that range is almost entirely within your control if you start working on it early enough.
The founders who get 6x aren't smarter than the ones who get 3x - they just prepared differently. They identified their multiple range 24 months before going to market. They converted project revenue to retainer revenue. They hired an operator so the business could run without them. They cleaned up their financials, built a defensible adjusted EBITDA schedule, and ran a competitive process with multiple buyers at the table.
None of that is magic. It's just deliberate preparation. The business that earns a premium multiple looks different from the one that gets a discount on every dimension that matters to a buyer - and every one of those dimensions is something you can work on before you pick up the phone with an advisor.
If you're building a service business and want a framework for the client acquisition and revenue architecture that supports a strong exit, the 7-Figure Agency Blueprint is a good place to start. And for those who want live coaching on the exit strategy mechanics and how to position a business for a real competitive process, I cover this in depth inside Galadon Gold.
Start earlier than you think you need to. The best time to prepare for an exit is three years out. The second best time is today.
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