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    EBITDA Multiples by Industry 2026: Complete Data Table

    Philipp Maßmann
    15 min read
    EBITDA Multiples by Industry 2026: Complete Data Table
    Key findings from FISART's 2025-2026 data:

    • Insurance agencies and IT managed services command the highest EBITDA multiples (7.0x-12.0x) due to recurring revenue models
    • Pest control multiples increased 0.5x year-over-year, driven by private equity consolidation
    • Businesses with 70%+ recurring revenue trade at a 1.5x-2.5x premium over project-based peers
    • Owner-dependent businesses sell at a 1.0x-2.0x discount relative to management-run operations
    • Deal volume in Q3-Q4 2025 increased 12% over the same period in 2024, according to IBBA Market Pulse data

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    EBITDA Multiples by Industry: 2026 Data Table

    The following table reflects EBITDA multiples for SMB service businesses with enterprise values between $1M and $50M. All data is based on FISART's analysis of closed transactions from Q1 2024 through Q4 2025, supplemented by industry reports from GF Data, IBBA Market Pulse, and Capstone Partners.

    IndustryEBITDA Multiple RangeMedianWhat Drives the PremiumWhat Drives the Discount
    Plumbing4.0x - 6.5x5.0xService agreements (40%+ recurring), multi-location, licensed workforceOwner-operated, residential-only, single truck rolls
    HVAC4.5x - 7.5x5.5xMaintenance contracts (50%+ recurring), commercial mix, geographic densitySeasonal concentration, owner on tools, single brand dependency
    Electrical4.0x - 6.5x5.0xCommercial/industrial mix, recurring maintenance, multi-branchResidential-only, permit-dependent, owner as master electrician
    Landscaping3.5x - 6.0x4.5xCommercial contracts (60%+ recurring), year-round services, irrigation/hardscape mixSeasonal-only mowing, residential, crew turnover above 50%
    Pest Control5.0x - 8.5x6.5xMonthly/quarterly service contracts (80%+ recurring), route density, low cancellationIrregular service calls, owner-run routes, rural territory
    Commercial Cleaning3.0x - 5.5x4.0xLong-term janitorial contracts, government/institutional clients, trained supervisorsHigh labor turnover, single large client, owner manages all crews
    IT Managed Services5.0x - 10.0x7.0xMonthly recurring revenue (85%+), low churn (<5%), cybersecurity offering, sticky tech stackBreak-fix revenue, owner as primary engineer, single vertical
    Home Healthcare5.0x - 9.0x7.0xMedicare/Medicaid certification, skilled nursing mix, multi-state licensing, low readmission ratesNon-medical only, single referral source, high aide turnover
    Dental Practices5.0x - 8.0x6.0xMulti-provider, DSO-ready infrastructure, specialist services, patient base 2,000+Solo practitioner, owner provides 80%+ of production, aging patient base
    Veterinary Clinics6.0x - 10.0x7.5xMulti-doctor, emergency/specialty services, corporate-ready ops, growing patient countSolo vet, owner-dependent, rural location, declining caseload
    Accounting Firms4.0x - 7.0x5.0xAdvisory/consulting revenue (30%+), client retention 95%+, staff CPAs, diversified baseTax-season-only revenue, owner manages all clients, aging client base
    Insurance Agencies7.0x - 12.0x8.5xRenewal commissions (85%+ retention), diversified book, commercial lines, agency management systemPersonal lines only, single carrier, owner holds all relationships
    Staffing Agencies3.5x - 7.0x5.0xContract staffing (recurring), multi-vertical, high gross margins (30%+), diversified client baseTemp-only, single client >25% of revenue, low margins (<20%)
    A note on these ranges: The low end represents a business that a buyer perceives as risky or dependent on the current owner. The high end represents a business that generates predictable cash flow with management in place. Most businesses fall somewhere in the middle.

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    What Drives EBITDA Multiple Differences

    Five factors explain most of the variation in EBITDA multiples within any given industry.

    Recurring Revenue Premium

    Businesses with predictable, contracted recurring revenue trade at higher multiples. This is the single largest driver of valuation differences within an industry.

    The data shows a clear pattern. Service businesses with less than 30% recurring revenue typically trade at the low end of their industry range. Businesses with 50-70% recurring revenue trade at or above the median. Businesses with 80%+ recurring revenue command premiums of 1.5x-2.5x above the industry median.

    Recurring revenue reduces risk for the buyer. A pest control company with 3,000 monthly service agreements has a fundamentally different risk profile than one relying on seasonal call volume.

    Owner Dependency Discount

    Owner dependency is the most common reason a business sells below its industry median. If the owner is the primary technician, the primary salesperson, or the primary client relationship holder, a buyer faces transition risk.

    FISART's transaction data shows that businesses where the owner works 50+ hours per week and holds the primary client relationships sell at a 1.0x-2.0x discount. Businesses with a general manager, department leads, and documented processes sell at or above the median.

    The question a buyer asks is: "What happens to revenue if the owner leaves in 12 months?" If the answer is "revenue drops 30%+," the multiple drops accordingly. FISART quantifies owner dependency as part of every valuation engagement, so sellers know exactly where they fall on this spectrum before a single buyer asks the question.

    Customer Concentration Risk

    A business where one client represents more than 20% of revenue carries concentration risk. If that client represents more than 40% of revenue, many buyers will either discount the multiple by 1.0x-1.5x or structure the deal with an earn-out tied to retention.

    The ideal profile is no single client above 10% of revenue, with the top 10 clients representing less than 40% of total revenue. Commercial cleaning and staffing agencies are the industries most frequently affected by concentration risk.

    Growth Trajectory

    Buyers pay more for businesses growing revenue and EBITDA year-over-year. A business growing at 15%+ annually will receive offers 0.5x-1.5x above a flat or declining peer.

    The growth must be organic and sustainable. Revenue growth driven entirely by one large contract win or a one-time project does not command the same premium. Buyers discount growth that depends on factors the current owner controls but the next owner may not replicate.

    Size Premium

    Larger businesses within the same industry trade at higher EBITDA multiples. This is called the "size premium" and it is well documented in M&A data.

    EBITDA LevelTypical Multiple RangeWhy
    $500K - $1M3.0x - 4.5xHigher risk, owner-dependent, limited buyer pool
    $1M - $2M4.0x - 5.5xMore buyer interest, some management in place
    $2M - $5M5.0x - 7.0xPrivate equity eligible, management team exists
    $5M+6.0x - 9.0x+Institutional buyer pool, scalable platform
    A plumbing company generating $5M in EBITDA will typically trade at a higher multiple than a plumbing company generating $1M in EBITDA, even if both have similar growth rates. The larger business has more infrastructure, a broader buyer universe, and lower per-unit acquisition cost for the buyer.

    GF Data's 2025 reports confirm this pattern across all industries. Transactions between $10M and $25M in enterprise value averaged 6.5x-7.5x EBITDA. Transactions between $25M and $50M averaged 7.0x-8.5x EBITDA.

    How to Read These Numbers

    This section is for business owners encountering EBITDA multiples for the first time.

    EBITDA Multiples Are a Starting Point

    An EBITDA multiple is one input in a valuation, and the final sale price depends on many additional factors: deal structure, buyer type, competitive dynamics, and negotiation.

    The multiples in this table represent what FISART has observed in closed transactions. They are backward-looking and reflect what buyers actually paid. Future transactions may differ based on market conditions, interest rates, and buyer demand.

    SDE vs. EBITDA: Which Applies to Your Business

    Two metrics are used to value SMB service businesses: Seller's Discretionary Earnings (SDE) and Earnings Before Interest, Taxes, Depreciation, and Amortization (EBITDA).

    SDE adds back the owner's total compensation to net income, along with interest, taxes, depreciation, and amortization. SDE is the standard metric for owner-operated businesses generating less than approximately $1M in adjusted earnings. SDE multiples for SMB service businesses typically range from 2.0x to 4.0x.

    EBITDA does not add back owner compensation. It assumes the business pays a market-rate manager to replace the owner. EBITDA is the standard metric for businesses generating approximately $1M or more in adjusted earnings, or for businesses already run by a management team.

    If you are unsure which metric applies to your business, a general guideline: if you are the primary operator and your business generates less than $1M in adjusted earnings, start with SDE. If you have a management team in place or your business generates $1M+ in adjusted earnings, use EBITDA.

    What "Enterprise Value" Means

    The EBITDA multiples in this table produce an enterprise value, which is the total value of the business before adjusting for cash, debt, and working capital. The actual cash a seller receives at closing depends on the deal structure, including the balance sheet adjustment, any earn-out or seller note, and tax treatment.

    Year-Over-Year Trends: 2024, 2025, and 2026

    2024: Recovery and Recalibration

    The Federal Reserve held the federal funds rate at 5.25%-5.50% through mid-2024 before beginning rate cuts in September 2024. High borrowing costs suppressed deal volume throughout the first half of the year.

    EBITDA multiples remained stable for high-quality businesses during this period. Premium businesses with recurring revenue and management teams still received competitive offers. Businesses with weaker profiles saw fewer offers and longer time-to-close.

    2025: Stabilization and Returning Volume

    The Fed continued rate cuts through 2025, bringing the federal funds rate to approximately 4.25%-4.50% by year-end. Lower borrowing costs improved buyer economics, particularly for private equity firms using leverage.

    Deal volume increased. IBBA Market Pulse Q3 2025 data showed a 12% increase in closed transactions over Q3 2024. GF Data's H1 2025 report described "small deal resilience."

    EBITDA multiples ticked up 0.25x-0.50x in industries with heavy private equity activity: pest control, HVAC, veterinary, and IT managed services. Industries without significant PE buyer interest (landscaping, commercial cleaning, staffing) remained flat.

    2026 Outlook

    The current interest rate environment is more favorable for M&A than any period since 2021. Lower rates improve buyer returns on leveraged acquisitions, which increases the number of competitive offers for quality businesses.

    FISART expects EBITDA multiples to remain stable or increase slightly in 2026 for industries with strong PE buyer pools. The supply of quality businesses for sale remains limited, which supports seller-favorable pricing. Businesses with $2M+ EBITDA, management in place, and recurring revenue will continue to receive the strongest offers.

    The risk factor for 2026 is macroeconomic uncertainty. A recession or reversal in rate policy would reduce buyer confidence and deal volume.

    What These EBITDA Multiples by Industry Mean for Your Business

    The data above provides context, but every business is unique. Your specific multiple depends on the five factors outlined above: recurring revenue, owner dependency, customer concentration, growth trajectory, and size.

    Three steps to move from these reference numbers to an actual estimate for your business:

    1. Identify your industry range from the table above
    2. Assess where you fall on the five value drivers
    3. Get a data-driven valuation that accounts for your specific financial profile, market position, and buyer demand in your geography

    A business that falls in the upper quartile on most value drivers will typically receive offers in the top third of the range. A business that falls in the lower quartile will receive offers in the bottom third or below the range.

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    Frequently Asked Questions

    For SMB service businesses with $1M-$5M in EBITDA, multiples between 4.0x and 7.0x are typical. Industries with high recurring revenue consistently trade at higher multiples than project-based industries.

    Multiply your adjusted EBITDA by the applicable industry multiple to estimate enterprise value. For example, a plumbing business with $1.5M in adjusted EBITDA and a 5.0x multiple has an estimated enterprise value of $7.5M.

    The variation comes from five factors: recurring revenue percentage, owner dependency, customer concentration, growth rate, and business size.

    SDE includes the owner's total compensation in the earnings figure. EBITDA does not. SDE is used for owner-operated businesses generating under approximately $1M in adjusted earnings.

    Yes. Lower interest rates reduce the cost of acquisition financing, which improves buyer returns and allows buyers to offer higher multiples.

    Larger businesses carry less risk for buyers, typically have management teams, diversified revenue, documented processes, and a broader buyer universe.

    Published multiples represent ranges observed in completed transactions. They are directional guides. Individual transactions can fall above or below published ranges.

    The best time to sell is when your business is performing well, your industry has active buyer demand, and macroeconomic conditions support M&A activity.

    Sources

    1. FISART proprietary transaction database
    2. GF Data (middle market transaction reports, H1 2025 and Q3 2025)
    3. IBBA Market Pulse (Q3 2025 survey of M&A intermediaries)
    4. Capstone Partners M&A Valuations Index
    5. BizBuySell Insight Reports (main street transaction data)
    6. Industry-specific M&A advisory reports from KPMG, PKF O'Connor Davies, Sica Fletcher, and Solganick

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