How to Value a Small Business for Sale: Rule of Thumb, Multiples & Adjustments (2026)

Valuing a small business for sale is one of the most-Googled M&A questions and one of the most consistently mis-answered. Most articles give a single rule of thumb (“3x EBITDA” or “1x revenue”) without explaining the inputs, adjustments, and size-dependent shifts that determine real-world transaction prices. Owners who anchor on those rules of thumb consistently mis-price their businesses by 30-50% in either direction — either expecting too much (and rejecting realistic offers) or expecting too little (and accepting offers that leave significant value on the table).

This guide walks through the actual valuation framework that buyers use. Step 1: identify the right earnings metric (SDE vs EBITDA) based on your size and structure. Step 2: normalize the earnings through proper add-backs. Step 3: apply the right industry multiple range for your size. Step 4: apply four risk adjustments — customer concentration, owner dependency, financial reporting, recurring revenue mix. Step 5: cross-check against comparable transactions. The result isn’t a single number — it’s a realistic range with confidence levels.

The framework draws on direct work with 76+ active U.S. lower middle market buyers and the broader sub-LMM ecosystem. We’re a buy-side partner. The buyers pay us when a deal closes — not you. Our valuation discipline comes from running these calculations against actual buyer offers across hundreds of transactions — including the cases where we told an owner their business was worth less than they thought (uncomfortable but accurate), and the cases where we told them it was worth more (the more common surprise). The point of this article isn’t to convince you to sell — it’s to give you a framework that produces a realistic number.

One disclaimer before you start. Self-valuations are always approximations. Real transaction prices depend on the specific buyer, the negotiating dynamics, the deal structure (asset vs stock, earnout vs cash, seller financing), and dozens of other factors. The framework below produces a defensible range — typically ±15% — not a single number. If you want a precise valuation, run a sell-side QoE and engage with actual buyers; if you want to start with a directional range to inform planning, the framework here is the right starting point. You can also run our free valuation calculator for a starting-point range.

“The owners who get the worst valuations aren’t the ones whose businesses are bad. They’re the ones who computed multiples with EBITDA when buyers would use SDE, ignored owner dependency, and assumed industry headlines applied to their size. The owners who get the best valuations had a buy-side partner who already knew the buyers, not a broker selling them a process.”

Key Takeaways

• Small business valuation = normalized earnings × industry multiple × risk adjustments. The formula is simple; the inputs are where owners go wrong.
• SDE vs EBITDA: SDE for sub-$750K owner-operator businesses, EBITDA for $1M+ businesses with real management teams. Mixing them produces 30-50% valuation errors.
• 2026 multiple ranges by size: $250-500K SDE = 2.5-3.5x; $500K-$1M = 3-4.5x; $1M-$3M EBITDA = 4.5-6.5x; $3M-$10M = 5.5-8x.
• Industry adjustments: active PE rollup categories trade 0.5-1.5x above the size baseline. Out-of-favor categories (restaurants, retail, fitness) trade 0.5-1x below.
• Four risk adjustments: customer concentration, owner dependency, financial reporting depth, recurring revenue mix. Each can shift multiple by 0.5-1.5x in either direction.
• Cross-check valuation against comparable transactions when possible. Self-valuation alone has a ±15-25% error range; comparable-transaction triangulation tightens to ±10%.

Step 1: pick the right earnings metric (SDE or EBITDA)

The first decision in valuing a small business is choosing the right earnings metric. Below roughly $750K of normalized earnings, owner-operator businesses are valued using Seller’s Discretionary Earnings (SDE). Above $1M of normalized earnings with a real management team, businesses are valued using EBITDA. Between $750K-$1M, the right metric depends on whether your business runs on you (SDE) or on a team (EBITDA). Picking the wrong metric leads to multi-hundred-thousand-dollar valuation errors.

SDE includes the owner’s full economic benefit from the business. Calculation: net income + interest + taxes + D&A + owner’s salary + owner’s benefits (health insurance, retirement contributions) + owner’s personal expenses run through the business + one-time non-recurring expenses – one-time non-recurring revenue. The result represents what an owner-operator could realistically extract from the business as cash compensation. SBA buyers, search funders, and individual acquirers underwrite using SDE.

EBITDA assumes a market-rate management team is already in place. Calculation: net income + interest + taxes + D&A + non-recurring expenses – non-recurring revenue + adjustments for owner-related expenses to market level. The result represents what a buyer with a hired management team would generate. The key difference: EBITDA replaces the owner’s actual compensation with a market-rate hired manager’s compensation (typically $100-200K depending on size and role). LMM PE platforms, family offices, and strategic acquirers underwrite using EBITDA.

Why this matters for valuation. On the same business, SDE is typically $100-300K higher than EBITDA. A multiple of 4x SDE applied to $600K of SDE = $2.4M valuation. A multiple of 5x EBITDA applied to $400K of EBITDA = $2M valuation. Different metrics, different multiples, similar but not identical results. The mistake to avoid: applying SDE multiples to EBITDA numbers (under-valuing) or applying EBITDA multiples to SDE numbers (over-valuing). Always match the metric to the multiple range — we cover this in SDE vs EBITDA: Which Metric Matters for Your Business.

Step 2: normalize earnings through proper add-backs

Reported earnings on tax returns understate the true cash-generating capacity of most small businesses. Owners run personal expenses through the business for tax efficiency, take owner-related compensation that wouldn’t be required of a hired manager, and incur one-time costs that don’t reflect ongoing operations. Add-backs are the legitimate adjustments that bridge tax-return earnings to the “true” SDE or EBITDA that a buyer underwrites against.

Standard add-backs that almost always survive QoE. Owner’s W-2 salary above market rate. Owner’s benefits (health insurance, retirement contributions) above what a hired manager would receive. Owner’s auto and phone if used personally. One-time legal and professional fees (acquisitions, lawsuits, tax disputes that won’t recur). One-time consulting engagements. One-time technology investments (ERP implementation, website redesign). Charitable contributions tied to the owner’s personal philanthropy.

Aggressive add-backs that often get challenged. Family members on payroll without documented work product. Country club memberships, hunting leases, vacation properties. Personal travel disguised as business travel. Auto expenses for vehicles primarily used personally. “Owner’s discretionary” expenses without supporting documentation. Recurring expenses claimed as one-time. Each of these can be defensible with proper documentation but invites buyer pushback.

Add-backs that rarely survive QoE. Compensation reductions for staff who provide value (claiming to add back salaries that the buyer would actually need to pay). Maintenance and repairs claimed as “one-time” when they recur every 3-5 years. Customer entertainment claimed as one-time when it’s an ongoing business cost. “Phantom efficiency gains” that the seller assumes the buyer will achieve. Owner’s actual job functions (claiming to add back the value of work the buyer will need to replace with hired labor).

Documentation matters more than the add-back amount. A $50K add-back with line-item invoices, board minutes, or bank statements documenting it almost always survives QoE. A $30K add-back with no supporting documentation often gets disallowed. Owners who plan to sell should start documenting add-backs 24+ months ahead of time — receipts, invoices, board minutes, expense reports. The same dollar amount of add-backs becomes 70% defensible vs 30% defensible based purely on documentation quality.

We cover add-back strategy in detail in Quality of Earnings (QoE) — What Buyers Test. The pattern across thousands of LMM transactions: seller-claimed EBITDA gets adjusted downward by 10-20% during buyer QoE on average. Sellers who run their own sell-side QoE first typically face 70-80% smaller adjustments — preserving valuation.

Step 3: apply the right industry multiple range for your size

Multiples are size-dependent and industry-dependent. Two businesses with identical $1M EBITDA can trade at materially different multiples based on size (within the LMM, larger businesses trade higher) and industry (active rollup categories trade higher). Anchoring on a single industry multiple without size adjustment, or a single size multiple without industry adjustment, produces wrong valuations.

Realistic 2026 baseline multiples by earnings size. These are sub-category-agnostic baselines. Apply industry adjustments (next paragraph) to refine.

Industry-specific multiple adjustments in 2026

Some industries are in active PE consolidation cycles in 2026; others are not. Industries in active rollup typically trade 0.5-1.5x above the size baseline. Industries with thin buyer pools or structural headwinds trade 0.5-1x below. The specific multiplier depends on where in the cycle the industry sits and how scarce your specific positioning is within it.

Premium-multiple industries in 2026 (50% of LMM buyers active): Manufacturing — deepest buyer pool of any sector; expect 8-15 credible bids on $3M+ EBITDA targets. Specialty distribution with route density. Specialty industrial services. Add 0.5-1.5x to the size baseline for businesses in these categories.

Active rollup industries (29-40% of LMM buyers active): Electrical contracting (40%), HVAC (36%), distribution generally (34%), plumbing (29%), home services (29%). Strong PE platform demand for $3M+ EBITDA targets. Add 0.25-1x to the size baseline. We cover the LMM landscape in detail in 2026 LMM Buyer Demand Report.

Moderate-demand industries (16-25% of LMM buyers active): Business services (25%), industrial services (20%), software/SaaS (20% generalist appetite, 13% LMM-specific), healthcare services (16%), pest control (12%). Apply size baseline. Active platforms in each category but less competitive bidding than the premium industries.

Thinner-demand industries (under 10% of LMM buyers active): Restaurants (under 5%), retail (under 5%), fitness (under 7%), automotive services, traditional construction services, consumer-discretionary categories. Subtract 0.5-1x from the size baseline. Longer processes, fewer competitive bidders, structurally lower multiples.

Sub-category specialty premiums. Within any industry, specialized positioning trades higher than generalist positioning. A specialty manufacturer of FDA-regulated medical devices trades higher than a generalist contract manufacturer at the same EBITDA. A specialty IT services firm focused on healthcare compliance trades higher than a generalist managed IT services firm. Specialty premium is typically 0.5-1x EBITDA above the sub-category baseline.

Step 4: apply the four risk adjustments

Once you have the size baseline and industry adjustment, four risk factors shift the multiple in either direction. Each can move the multiple by 0.5-1.5x. A business with all four working in your favor can trade at the high end of the range. A business with all four working against you can trade at half the multiple of an otherwise-identical business. The four factors are within the seller’s control with sufficient lead time.

Risk Factor 1: customer concentration. Top customer under 10% of revenue: +0.25x to baseline. Top customer 10-20%: 0x (baseline). Top customer 20-30%: -0.5 to -1x. Top customer 30-40%: -1 to -2x; often forces earnout structure. Top customer 40%+: deal-killer for most buyers; if it closes, -1.5 to -2.5x with mandatory earnout. Concentration is the #1 single-factor multiple driver across all small business categories — we cover details in Customer Concentration Risk in M&A.

Risk Factor 2: owner dependency. Strong second-tier team running the business without daily owner involvement: +0.5 to +1x. Average team depth with owner involved 20-30 hours/week: 0x (baseline). Owner is the primary operator with team executing only direction: -0.5 to -1x. Owner is the primary customer-facing relationship and primary delivery person: -1 to -1.5x. Buyers test this in diligence by asking: “What happens at 90 days post-close when the owner exits?”

Risk Factor 3: financial reporting depth. Audited or reviewed financials with 24+ months of monthly closes within 10 days: +0.25 to +0.5x. CPA-prepared annual statements with monthly bookkeeping: 0x (baseline). Bookkeeper-prepared statements with annual CPA review: -0.25 to -0.5x. Cash-basis or mixed personal/business books: -0.5 to -1x; often forces 6-month delay before closing while books get cleaned up. Sub-LMM businesses with fully clean books trade higher relative to peers than at any other tier.

Risk Factor 4: recurring vs project-based revenue mix. 70%+ contracted recurring revenue under multi-year MSAs: +1 to +1.5x. 50-70% recurring: +0.5x. 30-50% recurring: 0x (baseline). Under 30% recurring (mostly project-based): -0.5 to -1x. Mostly month-to-month with no contracts: -1 to -1.5x. This factor matters most in B2B services and is less impactful in transactional businesses (home services, manufacturing, distribution).

Worked example: $1.5M EBITDA HVAC services business. Size baseline: $1-3M EBITDA = 4.5-6.5x. Use 5.5x midpoint = $8.25M. Industry adjustment: HVAC active rollup, +0.5x = 6x = $9M. Risk factor 1 (concentration): top customer 12%, baseline. Risk factor 2 (owner dependency): strong second-tier team, +0.75x = 6.75x = $10.1M. Risk factor 3 (financials): CPA-prepared with monthly closes, baseline. Risk factor 4 (recurring): 60% recurring maintenance contracts, +0.5x = 7.25x = $10.9M. Realistic valuation range: $10.5-11.5M.

Step 5: cross-check against comparable transactions

Self-valuations alone have a ±15-25% error range. Cross-checking against comparable recent transactions tightens the range to ±10% and surfaces blind spots in your assumptions. Comparable transactions are recent (last 18-24 months) sales of similar businesses by size, industry, and geography. The challenge: most LMM transactions don’t publish multiples, so comparable data is harder to access at this size than at the public-market level.

Where to find comparable transaction data. Industry trade associations sometimes publish benchmark transaction data (NAW, NEMRA, SEPI, AGCO depending on industry). M&A advisory firms publish quarterly multiple reports for sub-categories they specialize in. PEHub and PitchBook (subscription) track LMM PE transactions with multiples. BizBuySell publishes data on sub-$1M business broker transactions. Each source has limitations — trade associations skew to their members, advisory firms skew to their deal flow, BizBuySell skews to small business broker listings — but the triangulation reduces error.

Comparable transaction adjustments to apply. Time adjustment: multiples have moved 5-15% over the last 24 months in many categories. Apply the directional adjustment if your comp is 12+ months old. Size adjustment: if comp is at $5M EBITDA and your business is $2M EBITDA, adjust the multiple downward by 0.5-1x. Geographic adjustment: same business in different geographies can trade at 0.5x different multiples (premium markets like California, NYC, Boston trade higher; secondary markets trade lower). Specialty adjustment: a comp that’s a niche specialist within a category trades 0.5-1x above a generalist comp.

When to trust your self-valuation vs lean on comp data. If your self-valuation produces a number within 15% of comp data, you’re probably in the right zone. If it diverges by 25%+, something is wrong — either your inputs are off or the comp data isn’t actually comparable. Common causes of divergence: applying SDE multiples to EBITDA numbers, ignoring industry adjustment, under-counting risk factors. Re-run the framework with attention to these specifically.

Common valuation rules of thumb — and where they fail

Owners frequently anchor on simplified rules of thumb that worked for a specific size or industry — and fail for theirs. These rules of thumb aren’t wrong; they’re just narrow. Knowing the failure modes prevents systematic mis-valuation.

“3x SDE” rule. Roughly accurate for sub-$500K SDE businesses sold to SBA-financed individuals. Wrong for any of: businesses with strong recurring revenue (should be higher), businesses with high owner dependency (should be lower), businesses above $1M earnings (should use EBITDA multiples), businesses in active PE rollup industries (should be higher). Use only as a sanity check, never as the primary valuation.

“1x revenue” rule. Sometimes used for B2B services or specialty distribution. Roughly accurate for businesses with 15-25% EBITDA margins. Wildly wrong for businesses with materially higher or lower margins. A 35% EBITDA margin business at “1x revenue” is being mis-valued at 2.85x EBITDA — far below the 5x+ it would actually trade at. Avoid revenue-based rules entirely; always work from earnings.

“5x EBITDA” rule. Common rule of thumb for LMM businesses. Roughly accurate as a midpoint for $1-3M EBITDA businesses in average industries. Wrong for sub-$1M businesses (multiple is lower), $5M+ businesses (multiple is higher), specialty positions (premium), thin-buyer-pool industries (discount). Useful as a first-pass sanity check; not as a primary valuation.

Industry-specific rules of thumb. Some industries have published rules: insurance brokerage 2-3x revenue, accounting practice 0.8-1.2x revenue, dental practice 60-80% of collections, etc. These are typically more reliable within their specific industry than generalist rules but still need adjustment for size, recurring revenue mix, and customer/patient retention. Use as a starting point but layer on the four risk adjustments.

The “DCF says X” trap. Some advisors run discounted cash flow models that produce specific dollar valuations. DCF is mathematically rigorous but extremely sensitive to terminal-value assumptions and discount-rate assumptions — small input changes produce wildly different outputs. Most LMM transactions ignore DCF entirely and use multiple-based valuation, which buyers actually rely on. A DCF that produces a number 30%+ different from multiple-based valuation almost always reflects unrealistic assumptions, not insight.

Special cases: when standard valuation doesn’t apply

Some small businesses don’t fit the standard SDE/EBITDA-multiple framework. Recognizing these cases prevents over- or under-valuation. The most common special cases: pre-EBITDA / growth businesses, real-estate-heavy businesses, businesses with significant deferred revenue, regulated businesses with license value, and businesses with strategic-only buyer pools.

Pre-EBITDA / growth businesses. Businesses growing 30%+ annually that haven’t yet reached normalized EBITDA. Often valued on revenue multiples (1-3x revenue depending on margins, growth rate, and category) or on forward EBITDA (estimating the EBITDA at a steady-state and applying multiples to that number). Risky territory — buyers heavily discount unproven growth assumptions. Most pre-EBITDA businesses sell to strategic acquirers who have specific synergy reasons rather than financial buyers.

Real-estate-heavy businesses. Businesses where owned real estate represents 30%+ of total enterprise value. Valued in two parts: business value (EBITDA × multiple) plus real-estate value (independent appraisal). Sale structures often separate the real estate (sold separately or leased to the buyer) to optimize tax treatment. Common in manufacturing, specialty services with fixed locations, and certain retail/hospitality categories.

Businesses with significant deferred revenue. Subscription businesses, services with annual prepayments, healthcare practices with prepaid plans, etc. Deferred revenue is a balance-sheet liability that the buyer assumes — reducing effective purchase price. Negotiate deferred revenue treatment in the LOI; standard practice is to deduct the deferred revenue balance from purchase price (the buyer is taking on the obligation to deliver future services without receiving the cash).

Regulated businesses with license value. Businesses where licenses are scarce and transferable (alcohol distribution, certain healthcare specialties, some construction trades, transportation with operating authority). License value can represent 20-50% of enterprise value above and beyond EBITDA-multiple valuation. License scarcity drives valuation premium — a generalist construction firm without specialty licenses trades at standard multiples; a firm with rare specialty licenses trades 1-2x higher.

Businesses with strategic-only buyer pools. Businesses with capabilities so specialized that only 2-5 strategic buyers in the world would value them. Valuation depends entirely on which strategic buyer engages and what synergies they perceive. Multiples can be 1.5-3x above standard ranges if the right strategic engages. Process risk is high — if no strategic engages, the financial-buyer fallback multiple is far below the strategic case. Worth running a strategic outreach process before defaulting to financial-buyer auctions.

Working through a complete valuation example

Let’s value a hypothetical $4M revenue, $800K SDE specialty distribution business in Texas. We’ll walk through each step of the framework with realistic numbers. The example illustrates how the size-baseline + industry + risk-factor framework produces a defensible range.

Step 1: pick the metric. $800K SDE puts us in the borderline zone between SDE and EBITDA. Owner is operationally involved but has a general manager handling 60% of operations. Adjusted EBITDA (subtracting market-rate compensation for owner’s remaining role, ~$120K) = $680K. We’ll value at both metrics and reconcile.

Step 2: normalize earnings. Tax-return EBIT: $620K. Add back: $80K depreciation, $40K interest, $60K owner’s above-market salary, $30K family on payroll (documented work), $20K one-time legal. SDE = $850K, EBITDA = $730K. We’ll use $800K SDE / $680K EBITDA as our working numbers (slight conservatism on add-backs).

Step 3: size baselines. $500K-$1M SDE = 3-4.5x SDE. Midpoint 3.75x × $800K = $3M. $500K-$1M EBITDA falls into the $1M-$3M baseline range = 4.5-6.5x EBITDA. Midpoint 5.5x × $680K = $3.74M. Working baseline: $3-3.7M.

Step 4: industry adjustment. Specialty distribution in active rollup. +0.5x to baseline. SDE: 4.25x × $800K = $3.4M. EBITDA: 6x × $680K = $4.08M.

Step 5: risk factor adjustments. Risk factor 1 (concentration): top customer 18%, -0.25x. Risk factor 2 (owner dependency): general manager exists but owner still important, baseline. Risk factor 3 (financials): CPA-prepared, monthly closes, baseline. Risk factor 4 (recurring): 60% repeat customers but only 25% under contract, -0.25x. Net adjustment: -0.5x. SDE: 3.75x × $800K = $3M. EBITDA: 5.5x × $680K = $3.74M.

Step 6: realistic range. $3-3.74M working range. Apply ±15% confidence interval = $2.55M-$4.3M realistic transaction range. Most likely outcome: $3.2-3.6M depending on buyer fit and process competitiveness. If a strategic buyer with synergies engages, the high end of the range becomes achievable; if only financial buyers compete, the midpoint is more realistic.

How to use your valuation in negotiation

A self-valuation isn’t a number you announce to buyers. It’s a framework for evaluating the offers you receive. Sellers who walk into negotiations with a fixed number consistently leave value on the table or kill deals over small gaps. The right approach: keep your valuation range internal, let the market establish the price through a competitive process, and use your range as a sanity-check when offers come in.

When an offer comes in below your range. Either the buyer is anchoring low (test by responding with a higher counter), or the buyer sees a risk factor you under-counted (test by asking what specifically they’re pricing in). Buyers will often disclose their multiple assumption and the risk factors they’re weighting if you ask directly. Use that information to refine your valuation or to identify positioning improvements.

When an offer comes in above your range. Likely a strategic buyer with synergies, or you’ve under-counted a positive factor (specialty positioning, scarcity value, specific synergies for this buyer). Don’t reflexively assume the buyer is overpaying — they may simply value something you didn’t. Run a brief diligence on whether the offer is real (financing in place, board approval, comparable transactions for that buyer) and accept it if it is.

When offers cluster within your range. Healthy market signal. Run a competitive process, optimize for deal structure (cash vs earnout, working capital, indemnification, transition period) rather than just headline price. Sellers often leave 5-10% of value through poor deal structure even when headline price is solid.

When you’re considering the ‘auction vs targeted’ question. Auction processes (8-15 bidders) maximize headline price but stress relationships and burn 9-12 months. Targeted processes (3-5 specific buyers) close faster (4-6 months), preserve relationships, and often achieve similar price when the buyer pool is well-matched. The right choice depends on your timeline tolerance, process tolerance, and how confident you are in your buyer-archetype identification. We discuss the tradeoffs in Buyer Archetypes: PE, Strategic, Search Fund, Family Office.

Sources of valuation error to avoid

Five systematic errors account for most mis-valuations. Each is preventable with discipline. Together they account for 80%+ of cases where owners’ expectations diverge significantly from market reality.

Error 1: applying the wrong earnings metric. Using SDE multiples on EBITDA numbers (under-valuing by 25-40%) or EBITDA multiples on SDE numbers (over-valuing by 25-40%). Always match the metric to the multiple range. If unsure, calculate both metrics and value at both, then reconcile.

Error 2: anchoring on industry headlines without size adjustment. Reading “HVAC businesses sell at 8x EBITDA” in trade press and assuming it applies to your $400K SDE business. The headline describes $5M+ EBITDA platforms; your business trades at half that multiple. Always size-adjust before applying industry headlines.

Error 3: under-counting risk factors. Convincing yourself that customer concentration won’t matter, or that owner dependency isn’t a problem, or that your books are clean enough. Buyers are professional discount-finders; they will identify and price every risk factor. Self-valuations should err on the conservative side for risk factors — assume buyers will discount more aggressively than you would.

Error 4: not normalizing add-backs honestly. Including aggressive add-backs that won’t survive QoE inflates your perceived valuation but gets stripped during diligence. Sellers who anchor on aggressive-add-back valuations face painful re-trades when buyer QoE comes back lower. Stick to defensible add-backs with documentation.

Error 5: ignoring deal structure in valuation thinking. An $8M cash deal and an $8M deal with 30% earnout are not the same. The earnout deal is worth $5.6-7M risk-adjusted depending on earnout collection probability. When valuing your business, the headline number isn’t the only metric — net cash at close, earnout structure, working capital adjustment, and indemnification cap all matter. Owners who optimize only for headline price often end up with worse net outcomes than owners who optimize for total value.

Conclusion

Valuing a small business for sale isn’t one number — it’s a defensible range produced by a five-step framework. Pick the right earnings metric (SDE vs EBITDA based on size). Normalize through honest add-backs. Apply size-baseline and industry-adjustment multiples. Layer in the four risk adjustments: customer concentration, owner dependency, financial reporting depth, recurring revenue mix. Cross-check against comparable transactions when available. The result is typically a range with ±15% confidence — tight enough to evaluate offers, plan tax outcomes, and make decisions about whether to sell now or wait 12-24 months while fixing specific gaps. The owners who get the most accurate self-valuations aren’t the ones with the most sophisticated DCF models — they’re the ones who anchor on size + industry first, then run the four risk adjustments honestly. And if you want to talk to someone who knows the buyers personally instead of running an auction, we’re a buy-side partner — the buyers pay us, not you, no contract required.

Frequently Asked Questions

What’s the simplest way to value my small business?

Normalized earnings × industry multiple × risk adjustments. Step 1: SDE for sub-$750K, EBITDA for $1M+. Step 2: add back owner-related expenses, one-time costs, non-recurring items. Step 3: apply size-baseline multiple. Step 4: industry adjustment. Step 5: four risk factors (concentration, owner dependency, financials, recurring revenue). The result is a range, not a single number.

What’s the difference between SDE and EBITDA, and which should I use?

SDE includes the owner’s full economic benefit (salary, benefits, personal expenses through the business). EBITDA assumes a market-rate management team. SDE is typically $100-300K higher than EBITDA on the same business. Use SDE for sub-$750K owner-operator businesses (SBA buyer pool). Use EBITDA for $1M+ businesses with real management (LMM PE buyer pool). Mixing produces 25-40% valuation errors.

What multiple should I use as a starting point?

Size-dependent. $250-500K SDE: 2.5-3.5x. $500K-$1M SDE: 3-4.5x. $1-3M EBITDA: 4.5-6.5x. $3-10M EBITDA: 5.5-8x. $10-25M EBITDA: 6.5-10x. Then adjust for industry (active rollup +0.5-1.5x; thin pool -0.5-1x) and the four risk factors (each ±0.5-1.5x).

What add-backs are legitimate?

Owner’s above-market W-2, owner’s benefits above hired-manager level, owner’s personal vehicle/phone, one-time legal/professional fees, one-time consulting, one-time technology investments, owner’s philanthropic charitable contributions. Documentation matters more than the dollar amount — a $50K add-back with invoices survives QoE; a $30K add-back without documentation doesn’t.

How much does customer concentration affect my valuation?

Hugely. Top customer under 10%: +0.25x. 10-20%: baseline. 20-30%: -0.5 to -1x. 30-40%: -1 to -2x and often forces earnout structure. 40%+: deal-killer for most buyers. Concentration is the #1 single-factor multiple driver across all small business categories.

Should I use revenue or earnings multiples?

Almost always earnings (SDE or EBITDA), never revenue. Revenue multiples ignore margin differences, which can be 2-3x between similar businesses in the same category. A 35% margin business and a 12% margin business at “1x revenue” have wildly different earnings — and therefore wildly different real valuations. The exception: pre-EBITDA growth businesses where earnings haven’t normalized.

How accurate is a self-valuation?

Typically ±15-25% range when done carefully. Cross-checking against comparable transactions tightens to ±10%. Engaging actual buyers in a competitive process produces the true market price — which can be 10-25% above or below your self-valuation depending on buyer fit, process competitiveness, and deal structure.

What’s a Quality of Earnings analysis and do I need one?

QoE is an independent accountant’s deep review of your financials — revenue recognition, expense categorization, add-back validation, working capital normalization. Buyers will run QoE during diligence, typically adjusting your reported EBITDA down 10-20%. Sellers who run sell-side QoE first ($30-75K depending on size) face 80% smaller adjustments, preserving valuation. Strongly recommended for $1M+ EBITDA businesses with material add-backs.

How do I find comparable transaction data?

Industry trade associations sometimes publish benchmark data. M&A advisory firms publish quarterly multiple reports. PEHub and PitchBook (subscription) track LMM PE transactions. BizBuySell publishes sub-$1M data. Triangulate across sources because each has biases. Apply time, size, and geographic adjustments when comparing your business to comps.

What if my business is real-estate-heavy?

Value in two parts: business value (EBITDA × multiple) plus real-estate value (independent appraisal). Sale structures often separate the real estate (sold separately or leased to the buyer) for tax optimization. Common in manufacturing, specialty services with fixed locations, and certain retail/hospitality categories.

Should I get a formal business appraisal?

Required for: estate planning, divorce, partner buyouts, ESOP transactions. Optional for: actual sale processes, where market price established through buyer competition is more reliable than appraiser opinion. Cost: $5-25K depending on business size and appraisal scope. Useful as a tax-defensible third-party number; not a substitute for a real market process.

How do I know when to wait vs sell now based on valuation?

Wait 12-24 months if: your earnings size is just below a threshold (sub-$1M EBITDA waiting to cross), customer concentration is above 25%, financial reporting needs cleanup, or you’re heavily founder-dependent. Each gap typically returns 0.5-1.5x EBITDA in higher multiple. Sell now if: industry is at cyclical multiple peak, health/family forces exit, co-owner conflict, or structural industry decline.

How is CT Acquisitions different from a sell-side broker or M&A advisor?

We’re a buy-side partner, not a sell-side broker. Sell-side brokers represent you and charge you 8-12% of the deal (often $300K-$1M) plus monthly retainers, run a 9-12 month auction process, and require 12-month exclusivity. We work directly with 76+ buyers — search funders, family offices, lower middle-market PE, and strategic consolidators — who pay us when a deal closes. You pay nothing. No retainer, no exclusivity, no contract until a buyer is at the closing table. You can walk after the discovery call with zero hooks. We move faster (60-120 days from intro to close) because we already know who the right buyer is rather than running an auction to find one.