Exit Planning

Why the multiple compresses even when a business does sell

14 min read · By Emily Carter, Next Chapter Wealth · Published July 2026

A business that successfully closes a sale still often closes at a materially lower multiple than the one the owner planned around. The gap is not always a negotiating failure. It is usually a structural one, and understanding the mechanics of how it happens is the first step to defending against it.

Owners arrive at a sale process with a number in mind. The number is usually anchored to something: a trade-magazine article about sector multiples, a comment from an advisor at a conference, a neighbor who sold a similar business three years ago. The number is almost always stated as a range of EBITDA multiples: "food manufacturers in our segment are trading at 6x to 8x" or "distribution companies like ours get 5x to 6x." The owner sets expectations, sometimes internally, sometimes with family members who are counting on a specific outcome, around the upper end of that range.

The final closing multiple is frequently lower. Not dramatically lower, often, but meaningfully so: one full turn of EBITDA lower than the LOI implied, sometimes two. On a business generating $3 million of EBITDA, one turn is $3 million. Two turns is $6 million. The gap between what an owner expected and what the wire reflects at closing is not hypothetical. It is among the most documented patterns in middle-market M&A.

A founder story: the food manufacturer and the 1.8-turn gap

Call her Sandra. She built a regional specialty food manufacturer over 19 years, starting as a contract packer for local retail accounts and growing to a vertically integrated operation with $18.4 million in revenue and $2.6 million in EBITDA by the time she engaged an investment banker at age 58.

Her banker ran a targeted process. Seven buyers received the CIM. Four submitted IOIs. Three made it to management meetings. The best LOI came in at $18.2 million, implying 7.0x EBITDA on the $2.6 million figure. Sandra's internal number had been 7x to 8x, so the LOI felt like validation.

The deal closed 11 months later at $13.5 million. The effective multiple on closing-day EBITDA was 5.2x.

The headline enterprise value had not changed between LOI and closing. The buyer did not revise its offer price. What changed was everything below it: the EBITDA figure that the multiple was applied to, the working capital adjustment, and the final allocation of deal consideration. Five separate mechanisms each took a piece.

Sandra is a composite. The figures are illustrative of a pattern documented across the food and beverage manufacturing sector in GF Data's middle-market deal studies and in PitchBook's lower-middle-market transaction tracking. The specific mechanics are real and recurring.

1.8x
The average gap between the LOI-implied multiple and the effective closing multiple documented in multiple GF Data cohort studies of food and beverage manufacturing deals under $50M enterprise value. One turn of EBITDA compression is typical. Two turns is not unusual when multiple mechanisms compound.

The five mechanics of multiple compression

Each of the five mechanisms below operates independently. In many transactions, two or three operate simultaneously. Understanding each one separately makes it easier to identify which are present in a specific situation and which are addressable before the process begins.

Mechanism 1

Weak quality of earnings: addbacks the buyer's advisor won't accept

The adjusted EBITDA in the CIM and the adjusted EBITDA in the QoE report are two different numbers. When they differ materially, the multiple gets applied to the lower number, not the seller's number.

How QoE cuts work in practice

A quality-of-earnings review is a detailed financial analysis conducted by the buyer's accounting firm during diligence. It goes through the seller's income statement line by line, testing revenue recognition, validating addbacks, and categorizing one-time items. The output is a QoE-adjusted EBITDA figure, which is the number the buyer will price around.

Sandra's CIM showed $2.6 million adjusted EBITDA. Her seller's advisors had added back $380,000 in personal and discretionary expenses (owner compensation above market rate, a personal vehicle, a family member on payroll in a non-working role, and travel expenses unrelated to business operations), and $210,000 in one-time items (a roof repair and a production line modification categorized as non-recurring capital expenses).

The buyer's QoE accepted $240,000 of the personal addbacks and declined the remainder on documentation grounds. It accepted the roof repair as non-recurring but treated the production line modification as a recurring maintenance capital item, not a one-time expense. The QoE-adjusted EBITDA came out at $2.28 million.

The LOI had been written at 7.0x. Applied to $2.28 million, the effective enterprise value is $15.96 million. Not $18.2 million. The difference is $2.24 million, before any other adjustment.

This happens in some version on most middle-market deals. The severity depends on how aggressively the seller's advisor built the EBITDA bridge and how rigorously the QoE team reviews it. Sellers whose advisors applied conservative, well-documented addbacks fare better than sellers whose advisors reached for every possible adjustment.

The addback risk is asymmetric. Adding back $100,000 in a gray-area expense improves the CIM EBITDA by $100,000 and, at 7x, adds $700,000 to the headline value. But if the QoE declines that addback, the seller loses $700,000 from enterprise value AND has started the diligence process with a credibility problem. The buyer's team has now identified one instance of aggressive representation, and they will look harder for others.
Mechanism 2

No competitive tension: one bidder in the room means one price

Multiples in a controlled auction reflect competing buyers outbidding each other. A single buyer in a negotiated deal reflects that buyer's standalone investment thesis, nothing more. The two numbers are structurally different.

Why the process design determines the multiple range

The multiple a business commands in a competitive process is not the same as the multiple it commands in a one-on-one negotiation with a single interested buyer. The difference is not a matter of negotiating skill. It is a matter of market mechanics.

When a banker runs a targeted auction with six to ten buyers submitting IOIs, the buyers know they are competing. Each buyer shades their offer slightly above what they would offer in isolation, because the cost of losing the deal (to a competitor, often) is embedded in their return calculation. The final LOI in a competitive process frequently exceeds any individual buyer's standalone walk-away price by 0.5 to 1.5 turns of EBITDA.

When a business enters a process with limited buyer outreach, or when initial approaches come from a single strategic buyer who reaches out directly before any formal process begins, the seller is negotiating one buyer's standalone view of value. That view is real and it may be reasonable, but it lacks the upward pressure that competition creates.

Sandra's deal illustrated this on the downside. Of the four IOIs received, two came from the same PE sponsor through slightly different vehicle names, which the banker identified and collapsed into a single party. The remaining three IOIs were from legitimate, distinct buyers. Of those, one dropped out before management meetings. Two made it to the final round. One did not submit a definitive LOI. The resulting "auction" was a single-bidder negotiation for the last 60 days of the process, and the buyer knew it.

The LOI price did not change. The buyer's posture during diligence did. Every disputed QoE item was pushed harder than it would have been under competitive pressure. The buyer was confident the deal would close on their terms, because there was no alternative.

Mechanism 3

Sector multiple drift: the market moved between engagement and closing

M&A processes take 6 to 12 months from engagement to closing. Sector multiples can move meaningfully in that window, especially when interest rate environments shift or when strategic buyer appetite in the sector changes.

The timing risk that most owners don't model

A business that receives an LOI at 7x EBITDA in a market where comparable transactions are trading at 6.5x to 7.5x has been priced at the reasonable center of the market. If sector multiples compress by 1.0 turn between the LOI date and the closing date (due to rising interest rates, sector headwinds, or a reduction in PE dry powder deployment), the buyer's return calculation changes. The buyer either renegotiates, or closes at a price that is now above market for the business, which is a risk they may choose to highlight during the true-up period.

In Sandra's case, the food manufacturing sector saw a modest compression in PE buyer appetite during the diligence period, driven partly by higher financing costs and partly by an increase in commodity input uncertainty. No buyer revised their headline price formally. But the negotiating dynamic in the final months of diligence reflected a buyer who was less motivated than they had been at LOI and more willing to push on contested items.

This is not the dominant mechanism in most deals. It is, however, a real one, and it compounds with other mechanisms rather than operating independently. A seller with a strong QoE outcome and multiple competitive bidders is largely insulated from sector multiple drift. A seller with a weak QoE and a single bidder is not insulated at all.

Mechanism 4

Growth story that couldn't be defended: the chart that didn't extrapolate

Buyers pay higher multiples for businesses with defensible forward growth. When the growth story told in the CIM cannot be supported in management meetings with specific customer pipeline, market data, or operational capacity, buyers reprice toward a lower-growth assumption.

Why the growth premium is conditional

Premium multiples in the food manufacturing segment, the 7x to 8x range that Sandra's banker cited in the engagement letter, reflect not just trailing EBITDA but a forward view: the buyer is paying for a business that can grow meaningfully in their hands. The multiple embeds a growth assumption.

The CIM for Sandra's business included a section on growth opportunities: three retail chains where introductory conversations had occurred, a co-packing relationship that could be expanded, and a new product line that had gone through initial development. The aggregate revenue potential was presented as $4 million to $6 million over three years.

In management meetings, the buyer's team asked specific questions about each opportunity. The retail conversations turned out to be preliminary calls, not active negotiations. The co-packing expansion required capital investment that had not been modeled into the business plan. The new product line had cleared concept development but had not completed regulatory review. None of the three opportunities was fabricated. Each one, on examination, was at an earlier stage than the CIM implied.

The buyer revised their growth assumptions. They priced the business as a $2.28 million EBITDA manufacturer with 3% to 5% organic growth, not the 12% to 15% growth implied by the CIM's opportunity section. The multiple they were willing to pay for a slow-growth manufacturer was lower than the multiple for a growth platform. The adjustment was not itemized in any revision to the LOI. It showed up in how hard the buyer pushed on every other contested point in diligence.

Mechanism 5

Working capital retrade: the peg negotiation that quietly costs $500K to $2M

The working capital peg is not the purchase price. But for sellers who are not prepared for it, the peg adjustment at closing functions exactly like a price reduction. Underprepared sellers frequently deliver less net working capital than the peg requires and absorb the difference as a wire-day haircut.

How the peg compounds the other mechanisms

Working capital adjustments are covered in detail in the article on the working capital peg in this series. In Sandra's transaction, the peg was set at $2.1 million of net working capital, based on the trailing 12-month average under the buyer's methodology. On closing day, actual NWC came in at $1.64 million. The $460,000 shortfall was deducted from the wire.

The shortfall was not due to mismanagement. It was due to timing. Sandra's business was seasonal, with inventory building in the fall ahead of the holiday retail push. The closing date fell in late summer, when inventory was at its annual low point, and the peg methodology did not adequately reflect that seasonality. A more careful negotiation of the peg methodology six months earlier would have produced a different result. The seasonal adjustment had been raised by Sandra's attorney and dismissed as too complex to model.

At 5.2x effective EBITDA, that $460,000 peg shortfall cost Sandra the equivalent of 0.2 turns of EBITDA. It was one of the smaller mechanisms in her deal. It was also the most preventable.

The math of one turn of compression

The numbers below use Sandra's transaction as the base case. The first column is the transaction as it was presented at LOI. The second column is the transaction as it closed, after all five mechanisms had operated.

At LOI (expected)
Seller EBITDA$2,600,000
Multiple7.0x
Enterprise value$18,200,000
WC adjustment$0
Gross proceeds$18,200,000
At closing (actual)
QoE EBITDA$2,280,000
Effective multiple5.9x
Enterprise value$13,960,000
WC shortfall($460,000)
Gross proceeds$13,500,000

The $4.7 million difference between expected and actual gross proceeds represents 25.8% of the expected transaction value. That gap is not attributable to any single mechanism. It is the product of three mechanisms operating in sequence: a $320,000 QoE addback decline (which reduced EBITDA from $2.6M to $2.28M), a repricing of the growth premium (which moved the effective multiple from 7.0x to 5.9x after buyer diligence, with the official LOI price held constant but adjusted through diligence findings), and the $460,000 working capital shortfall.

To see the cost of each turn in isolation:

The cost of one turn of multiple compression on a $2.28M EBITDA business
QoE EBITDA (post-diligence) $2,280,000
Enterprise value at 7.0x $15,960,000
Enterprise value at 6.0x $13,680,000
Enterprise value at 5.0x $11,400,000
Cost of one full turn of compression $2,280,000

One turn of multiple compression on a $2.28 million EBITDA business costs $2.28 million in gross proceeds. That is before tax. After a blended federal and state capital gains tax rate of 26%, the after-tax cost of one turn is approximately $1.69 million.

On a larger business, say $5 million of EBITDA, one turn costs $5 million gross. On a $10 million EBITDA business, one turn costs $10 million. The dollar magnitude scales directly with the EBITDA base, which is why multiple compression deserves proportionally more attention at higher deal sizes.

What owners can do to defend the multiple

The five compression mechanisms are not equally defensible. Some respond well to preparation. Others depend on market conditions the seller cannot control.

Build competitive tension before the process starts, not during it

The most reliable way to protect the multiple is to ensure the process includes multiple serious bidders who are competing in earnest. This means engaging a banker who runs a genuine targeted auction, not a seller's broker who calls two or three likely buyers. It means beginning the banker-selection and CIM-preparation process before the seller is emotionally ready to sell, so there is time to identify and cultivate the full buyer universe. And it means resisting the temptation to negotiate directly with the first inbound strategic buyer who reaches out, which converts a potential competitive auction into a single-bidder negotiation before one ever begins.

The article on how to pick an M&A banker in this resource library covers banker-selection criteria in detail. The relevant point here is that the banker's ability to create and maintain competitive tension is the single most important variable in protecting the multiple, and it is entirely within the seller's control before the process starts.

Commission a sell-side quality of earnings before going to market

A sell-side QoE, conducted by the seller's own accounting firm before the CIM is distributed, does three things. It tells the seller exactly what EBITDA a buyer's QoE will produce, so the seller can set realistic expectations. It surfaces addback issues that can be remedied or documented before diligence begins. And it allows the seller's advisor to present the CIM with QoE-validated numbers, which signals to buyers that the deal has been prepared carefully and reduces the probability of a significant diligence surprise.

A sell-side QoE typically costs $40,000 to $100,000 depending on complexity. On a $15 million transaction, protecting even 0.25 turns of EBITDA (which at $2.28M would be worth $570,000) more than covers that cost. On larger deals, the math is not close.

Manage the growth narrative with specific, verifiable pipeline

Growth stories that hold up in management meetings are built on specific, near-term, documentable opportunities, not on market-size estimates and addressable-market slides. Before going to market, an owner should be able to articulate each growth opportunity in terms of: who the customer or partner is, what the current stage of conversation is, what the expected timeline to revenue is, and what investment or operational change is required to capture it.

Buyers are experienced at distinguishing genuine pipeline from speculative upside. The difference between a 7x growth-platform multiple and a 5.5x stable-business multiple is often whether the seller can stand in a management meeting and defend the growth story with specifics. The specifics take years to build. They cannot be manufactured in the six months before going to market.

Negotiate the working capital peg early, with a modeled position

The working capital peg should be negotiated before the LOI is signed, not after. The seller's advisor should model the business's actual trailing NWC under the buyer's likely methodology before the LOI negotiation begins, and the seller should have a specific, documented position on the peg number. For seasonal businesses, the methodology for seasonally adjusting the peg is particularly important and should be written into the LOI in explicit terms.

A peg negotiated in the LOI, with clear methodology definitions, is worth more than a favorable peg number negotiated under closing pressure. The mechanics matter more than the number because the true-up settlement process is driven entirely by the mechanics.

The data an owner should assemble now, 12 or more months before going to market

The most actionable takeaway from understanding multiple compression is a list of things to do before the process begins, not during it. The leverage to address each compression mechanism exists before the LOI is signed. After the LOI is signed, most of the leverage is gone.

  1. A three-year P&L with every addback documented. For each item added back to EBITDA, there should be a supporting document: a bank statement showing the personal withdrawal, a payroll record showing the excess compensation, a written explanation of why the item is non-recurring. If the documentation does not exist today, build it now, while the transactions are recent enough to reconstruct.
  2. A trailing 12-month working capital model. Calculate NWC at the end of each of the last 12 months, using the definition a buyer is likely to apply. Identify the seasonal low point and the seasonal high point. Know where the peg will land under a trailing average methodology and where it will land under a seasonally adjusted methodology. The difference may be significant.
  3. A buyer-universe map. Identify, with your banker or an advisor, the 15 to 20 most likely buyers for your business: strategic acquirers who have made comparable acquisitions, PE firms with active platforms in your sector, and financial buyers who have expressed interest in comparable businesses. This list is the foundation of a competitive process. It takes months to build and requires market knowledge most sellers do not have without help.
  4. A specific pipeline document. For each growth opportunity you expect to present in the CIM, document the current status, the decision-makers involved, the expected timeline, and the capital or operational requirements. A one-page summary for each opportunity, grounded in specific conversations and verifiable facts, is worth more than a 10-page market analysis in a management meeting.
  5. A banker-selection process run 12 months early. The engagement with an M&A banker should begin 12 to 18 months before the planned market date, not 60 days before. The banker needs time to understand the business, build the buyer list, prepare the materials, and time the market entry with sector conditions. A banker engaged 60 days before a planned sale is being asked to run a process that should take a year in less than half the time, with predictable consequences for the quality of competitive tension they can generate.

None of these five items is a transaction-year task. They are all pre-transaction tasks that compound in value the earlier they are started. An owner who has clean, documented financials, a modeled working capital position, an identified buyer universe, a specific growth pipeline, and a banking relationship in place, is not immune to multiple compression. But they have addressed the mechanisms that are addressable, and they have positioned themselves to defend against the ones that are not.

The pre-sale readiness scorecard in the tools section of this site walks through each of these inputs in a structured format and returns a scored assessment against what buyers underwrite in the relevant revenue range. It is a reasonable starting point for an owner who wants to understand where the compression risk sits before committing to a timeline.

Understand where the multiple compression risk lives in your business.

The business attractiveness scorecard surfaces the five compression factors in a structured 5-minute format with scored output. The valuation calculator gives you a headline EBITDA range to anchor the dollar math. No advisor introduction unless you ask for one.

Or, request a 30-minute conversation with an advisor.

Sources: GF Data, Middle Market M&A Report (Q1 2026 and 2025 annual). PitchBook, Lower Middle Market Transaction Report (Q4 2025). SRS Acquiom, 2024 M&A Deal Terms Study. RSM US, Quality of Earnings Best Practices in Middle Market M&A (February 2025). American Bar Association Mergers & Acquisitions Committee, Private Target M&A Deal Points Study (2024). Duff & Phelps / Kroll, Valuation Insights: Food and Beverage Sector (Q3 2025). BDO, Manufacturing and Distribution Industry Report (2025). Examples in this article are composites drawn from common middle-market transaction patterns. They do not represent any specific individual or transaction. Commentary is the work of the Next Chapter Wealth editorial team and is general in nature. Specific situations require analysis by qualified transaction advisors.