Exit Multiples by Industry 2026: EBITDA & Revenue Benchmarks

Exit multiples by industry in 2026 run from a low single-digit multiple of cash flow for a Main Street business to double-digit EBITDA for a healthcare IT platform. Most lower-middle-market companies change hands in a 4x–8x EBITDA corridor, and private SaaS is priced on ARR instead. The industry sets the band; your size, growth, margins and owner dependence decide where in it you land, and the bands are wide enough that this matters more than the label.

An exit multiple is the price a buyer pays expressed as a multiple of EBITDA, revenue or ARR. In 2026, Main Street businesses sell for about 2.7x cash flow, lower-middle-market companies for single-digit EBITDA multiples that climb with sector and size, and SaaS for a multiple of ARR rather than profit. In our work on 150+ valuations, size and growth move the number more than the industry label does.

Every multiple below comes from a report we opened while writing this, labelled with its period, because a peak-cycle SaaS multiple is not a 2026 one. Waveup has completed 150+ valuations and supported 50+ M&A transactions; if you want the number for your company rather than your sector, that's our business valuation service. This is the homework before it.

What's the difference between revenue and EBITDA multiples?

A revenue multiple prices what a company sells; an EBITDA multiple prices what it keeps. Buyers use revenue or ARR multiples when there's no profit to price yet, and EBITDA or SDE multiples when cash flow is the point of the purchase. The same company can look like a 4x business on one and a 20x business on the other, which is why deals quote both.

• EV/EBITDA. Enterprise value over trailing 12-month EBITDA, almost always recast for one-offs and owner perks. The default from roughly $1M of EBITDA up; what PE and strategic buyers quote.
• SDE multiple. Price over seller's discretionary earnings (EBITDA plus one owner's pay and perks). Owner-operated businesses under about $1M of profit; brokers, individuals, search funds.
• EV/Revenue. Enterprise value over trailing revenue. Used when there's no profit to price yet, or the buyer is paying for a growth engine. Ignores margin completely.
• ARR multiple. Enterprise value over annual recurring revenue. The SaaS standard; services and one-off fees get stripped out first.

The choice is about what the buyer is buying. A fund acquiring a profitable manufacturer is buying cash flow it can lever, so it prices EBITDA. A software acquirer buying a growing product with no profit is buying growth and retention, so it prices ARR: private SaaS M&A closed at a median 4.0x trailing revenue in Q2 2026 (Software Equity Group). Below about $1M of ARR the same product is priced on SDE instead (FE International). Marketing agencies sell on adjusted EBITDA, with revenue acting as a ceiling rather than a method (Axial).

The seller's trap is switching metrics to flatter the number: the same company can be a 1x-revenue business or a 10x-EBITDA business depending on the sentence, and the buyer believes the lower one. The metric choice itself is covered in EBITDA vs revenue.

Exit multiples by industry in 2026: the table

Lower-middle-market EBITDA multiples in 2026 cluster in a 4x–8x corridor for services, manufacturing, healthcare and consumer businesses, with software, healthcare IT and specialist industrials reaching double digits. Revenue-priced sectors run on their own scale: SaaS on a multiple of ARR, IT services on a revenue multiple barely above par. The table below lists the range, deal-size context and source for each row; sectors we couldn't verify are left out.

How to read it: each row shows the range its source reports, for the deal sizes and period it covers. Nothing is averaged across sources; a six-figure marketplace on Flippa and a billion-dollar healthcare deal share only the word 'multiple'.

Two things stand out. The EBITDA ranges overlap: manufacturing, healthcare services, business services and consumer goods all sit in the same corridor at lower-middle-market sizes in Pepperdine's banker survey, and the size table below shows how narrow it is. And software's public benchmark has deflated in a single quarter, to 3.3x trailing revenue at the end of March 2026 (FE International, citing PitchBook), so private buyers no longer anchor on a generous public comp.

In 2026, private-company exit multiples sit in three tiers, and each tier has its own data. Main Street businesses sold through brokers close at about 2.7x cash flow (BizBuySell). Lower-middle-market companies trade at investment-banker medians in the mid-to-high single digits, rising with sector and size (Pepperdine Private Capital Markets Report). Mid-market deals average just under 10x and the global M&A median just over it, with healthcare well above that line and energy below (PitchBook). Revenue-priced sectors run on their own scale, and the table below puts every benchmark next to its source and period.

How much does company size change an exit multiple?

A lot, and more than most sellers expect. Investment bankers surveyed by Pepperdine in 2026 reported median multiples rising with the company's EBITDA in every sector they track: business services, for instance, climbs from 4.8x for the smallest companies to a 7.5x peak. Financing gets easier with size, the buyer pool widens, and buyers pay for the lower risk of a business that runs without its owner.

The same staircase appears wherever data is cut by size. Private SaaS runs from 2x–3x ARR for the smallest companies to more than double that at scale (FE International). Software M&A revenue multiples climb the same way from the smallest deals to the largest (Aventis Advisors). Both staircases are in the industry table above.

Why does size pay? Senior debt gets markedly easier above $5M of EBITDA, per the same Pepperdine survey, so leveraged buyers can pay more for the same cash flow. The buyer pool changes too: PE funds and independent sponsors now account for less than half of Axial's closed deals, down from a clear majority in 2021, as search funds and individual investors take a growing share (Axial). And a $10M-EBITDA business has a management layer, which removes the key-person discount a founder-run one carries.

What moves an exit multiple up or down?

Eight things, in roughly this order: growth rate, margin, recurring revenue share, retention, customer concentration, owner dependence, size, and who is buying. Each one moves you within your sector's band rather than out of it. In our work we see 2–3x gaps between what founders expect and what the market supports; closing that gap starts with an honest score on these eight.

• Growth. Public software clearing the Rule of 40 trades at close to three times the revenue multiple of the rest (FE International, citing PitchBook). In FirstPageSage's private tables, trailing growth is one of the two strongest considerations after size.
• Margin. Agency buyers name an EBITDA margin above 20% as the top value driver (Axial). Single-digit margins are much of why eight-figure DTC brands sell at low single-digit EBITDA multiples (FE International).
• Recurring revenue. FirstPageSage tables the same software company at a multiple roughly half again higher when its revenue is recurring (FirstPageSage). HVAC shows the same pattern, with contract-backed service books at the top of a wide range (Axial).
• Retention. The top-quartile ARR deals go to SaaS that clears the growth bar with net revenue retention above 120% (FE International). Agency buyers check three to four years of client-by-client churn.
• Customer concentration. Buyers want no client above 10% of revenue and a cap on the top three combined (Axial); above that, price moves into an earnout.
• Owner dependence. A founder who is the sales engine gets 'addressed through the deal structure': earnouts and a 6–12-month transition. Key-employee turnover alone takes roughly two turns off a high-growth manufacturer's multiple in FirstPageSage's tables.
• Size. See the table above; it's the one factor you can't fix in six months.

Then there's who is buying. Half of the bankers in Pepperdine's survey observed a strategic premium and half didn't, and at the large end the data cuts the other way: PE sponsors paid a higher median multiple than corporates in Q2 2026 (Crowdfund Insider, on PitchBook data). Our read after 50+ transactions: a strategic pays a premium when it can underwrite specific synergies, not because it is a strategic. A financial buyer prices EBITDA and cash flow and nothing else, and because a typical buyout now needs roughly double the annual EBITDA growth it did in the 2010s to earn its target return (Bain), it prices with a sharper pencil.

How to price a business for sale in 2026

Five steps: normalise EBITDA (or SDE) with defensible add-backs, pick the comparable set that matches your sector and size, apply the range and place yourself within it honestly, sanity-check the result with a DCF, then model the deal structure, because an all-cash offer can net founders more than a bigger headline price that comes with rollover and an earnout. We use DCF, comparable transactions and the VC method together.

1. Normalise earnings. Trailing-12-month EBITDA (or SDE if owner-operated), with only the add-backs a quality-of-earnings review will accept: genuine one-offs, above-market owner pay, personal expenses.
2. Pick the comparable set. Your sector, your EBITDA band, your buyer type. A $2M-EBITDA agency compares to Axial's agency data, not a PitchBook software deal.
3. Apply the range and place yourself honestly. Score the seven factors above; two or three weak ones put you below the median.
4. Sanity-check with a DCF. If the two values are 30% apart, an assumption is wrong; find it before a buyer does.
5. Model the structure. Cash at close, earnout, rollover, seller note, working-capital peg. Price the deal you'd bank.

The first step is where sellers lose credibility. Recast EBITDA multiples dominate how bankers value private companies, and PE investors weight recast EBITDA above unadjusted EBITDA in their multiple-based methods (Pepperdine), so every add-back will be tested. In our work, 7 of 10 founders underestimate what buyers ask for in diligence. A due diligence pass before market costs less than a re-trade after the LOI.

Steps two to four are the valuation itself. Bankers lean on guideline transactions first, DCF second and capitalisation of earnings third (Pepperdine again); we work the same way. Triangulating exposes the gap: we see 2–3x gaps between founder expectations and what the market supports, and Pepperdine's bankers say a gap a fraction of that size is the most common reason a process dies. Only 14% of owners have had a professional valuation (BizBuySell); the table below has the weights and the failure rates.

The last step is where the money moves. Seller financing appears in more than half of closed deals, with rollover equity and a lowered multiple the next most common tools for getting a deal done (Pepperdine). Agency sellers with about $2.4M of EBITDA received roughly 59% of the price at closing (Axial). Your CIM should already reflect the structure you'll accept. The full process is in how to sell your startup, and what advisors charge for it in M&A advisor fees.

How do VCs use exit multiples in the venture capital method?

The VC method works backwards from a sale. Project a Year-5 profit or revenue figure, multiply it by an exit multiple from today's comparables (10x is the classic assumption), divide by the fund's target return to get a post-money value today, then subtract the cheque for pre-money. A raise prices a discounted future exit, while a sale prices trailing earnings now, which is why the two multiples rarely match.

The formula discounts a projected exit value back to today at the fund's required return, then subtracts the cheque to get pre-money (Equidam). Exit value is a Year-5 metric times a multiple, and 10x is the textbook assumption. Run the textbook numbers for a fund that wants the same return on its cheque and it needs a fifth of the company at exit, before later-round dilution pushes the required stake higher; the table below shows the arithmetic.

Why does a raise use a different multiple from a sale? The VC's multiple sits on a projection five years out, and in about 60% of the models we review the first-year revenue projection is already 2–3x too aggressive. Dilution sits between the two: a healthy round costs roughly a fifth of the company at each stage from pre-seed to Series A, per the bands in the table above. And a round buys a minority stake priced for growth; a sale prices control of the business as it is today. The round-side maths is in startup valuation methods, post-money valuation and startup dilution per round.

If your deck assumes a 10x exit and the industry table says half that, an investor will re-run the maths at the sourced number and halve the valuation. Use a multiple you can source, and let the growth story carry the premium.

Timing does the rest. Start one to two years before you intend to close: most items in the left column take a year to build, and buyers verify them over trailing periods. Most owners don't; 64% of sellers had no formal exit planning before engaging a broker (Pepperdine). A sell-side process still takes up to a year industry-wide; our clients close a median 70% faster than founders and sellers running it alone (2024–2025 cohort).