Ask an acquirer why they paid 7.0x for one $3 million EBITDA services company and 4.5x for its competitor across town, and the answer will not be the industry, the size, or the year. It will be some version of: the first company’s earnings were safer, more durable, and more clearly transferable. A multiple is a price on risk. Two companies with identical earnings can carry very different risk, and the market prices that difference with an efficiency that surprises owners who have only ever benchmarked against industry averages.
This chapter covers the nine performance indicators that do most of that pricing work in the lower-middle market. For each: what it is, why acquirers price it, what good looks like, how it moves the multiple, and what an owner can do about it in the 12-24 months before a sale. Formulas stay light here; Appendix B carries the full formula reference, measurement notes, and what to have ready for diligence. One note on sequencing: this chapter tells you which levers exist. Chapter 15 covers when, and in what order, to pull them.
The advisor’s view. When we take on a sell-side engagement, the financial statements are not the first thing we study. We look at three things: the revenue mix (how much of next year is already sold), the top-ten customer list, and the owner’s calendar. Those three tell us most of what the eventual buyer universe will conclude, and they tell us early enough to do something about it.
Revenue Growth: Durability Beats Magnitude
What it is. Year-over-year revenue growth, measured over at least three to five years and decomposed by source: volume (new customers and units), price, and acquisition. The rate matters less than the pattern and the engine behind it.
Why acquirers price it. Growth is the input every valuation model is most sensitive to and the one acquirers trust least. A model can be built on any forecast; what an acquirer will underwrite is growth with a visible, repeatable cause. Price-driven growth with no customer losses signals pricing power. Volume growth from a working sales process signals a machine. A spike from one contract, one customer, or one heroic year gets discounted toward zero.
What good looks like. Consistent growth at or above the market’s own rate, sustained across several years, produced by a process the acquirer can watch run: a pipeline, win rates, a sales team that is not the owner. Deceleration explained honestly beats acceleration explained vaguely.
How it moves the multiple. Durable growth pushes a company toward the top of its sector’s range, and at the extreme (genuinely recurring revenue growing fast) it can shift the pricing base from EBITDA toward revenue. Erratic or unexplained growth does not merely forfeit the premium; it invites earnout structures that push the forecast risk back onto the owner.
How to improve it in 12-24 months. Instrument before you accelerate: pipeline stages, win rates, growth by source. Take the price increases you have been deferring, and document retention through them. Move the selling off the owner’s calendar. And do not buy revenue at margin’s expense in the final year; acquirers unwind that trade in diligence and mark down the story for the attempt.
Revenue Quality: Recurring, Re-Occurring, or Project
What it is. The composition of revenue by contractual strength, in three tiers: recurring (contracted and auto-renewing), re-occurring (repeat purchases from loyal customers, no contract), and project (won one bid at a time). It is measured as the percentage of revenue under contract, average contract term, renewal mechanics, and escalation terms.
Acquirers apply a rough hierarchy, from most underwritable to least:
| Revenue type | What it is | Example | How acquirers treat it |
|---|---|---|---|
| Recurring | Contracted, auto-renewing | Managed services agreement, maintenance contract | Underwritten as forward revenue |
| Re-occurring | Repeat purchase, no contract | Distributor reorders, returning patients | Credited with tenure history, discounted for terms |
| Project | Won bid by bid | Construction job, one-time installation | Priced only on backlog and win-rate evidence |
Why acquirers price it. Contracted revenue is future cash flow that has already been sold. It lowers the acquirer’s first-year risk, supports acquisition debt (lenders underwrite contracts, not optimism), and shortens every argument in diligence.
What good looks like. A rising share of revenue under real contracts: assignable without customer consent where possible, auto-renewing, with annual price escalators. Re-occurring revenue backed by tenure data showing how long customers actually stay, not anecdote.
How it moves the multiple. The same dollar of EBITDA prices differently by tier. As the recurring mix rises, a company re-rates within its industry range, and at the top end it gets compared to a different peer set entirely.
How to improve it in 12-24 months. Convert time-and-materials relationships into service agreements, even modest ones. Add auto-renewal and escalator language at each renewal cycle. Fix assignability now; change-of-control consent requirements surface at the worst possible moment. Track the mix monthly so the trend itself becomes evidence.
Retention: The Truth Serum
What it is. Gross revenue retention (GRR): the share of last year’s revenue from last year’s customers that you kept this year, excluding upsells, so it caps at 100%. Net revenue retention (NRR): the same base including expansion, so it can exceed 100%. Logo churn counts lost customers rather than lost dollars. For software, LTV:CAC compares the lifetime gross profit of a customer to the cost of acquiring one. Appendix B carries the formulas and the cohort mechanics, and Chapter 19 covers the retention expectations acquirers apply model by model in software and online businesses.
Why acquirers price it. Retention is where a business model stops being able to hide. Growth shows what the sales engine does; retention shows whether the product or service deserves the customer. High retention means growth spending compounds instead of refilling a leaking bucket, and it is the strongest single piece of evidence that revenue will survive a change of ownership.
What good looks like. GRR that holds through price increases. NRR above 100% in software and recurring-service models. Elsewhere, long median customer tenure and cohorts that flatten out rather than decay to zero. The bar is sector-specific, but one thing is universal: the acquirer will ask for cohort data, and most lower-middle-market companies cannot produce it. Being able to answer is itself a differentiator.
How it moves the multiple. Small retention differences compound into large value differences over an acquirer’s hold period, and acquirers price that arithmetic explicitly. In software, strong NRR is often the difference between an EBITDA multiple and an ARR multiple. In services, weak retention turns a platform conversation into an add-on-at-a-discount conversation.
How to improve it in 12-24 months. Measure it first; the reporting alone is worth building. Then attack the top two or three churn causes, which are usually onboarding gaps, a service failure pattern, or pricing surprises. Put a review cadence on the largest accounts. Tighten renewal terms as they come up rather than promising fixes during diligence.
Margins: The Business Model’s Signature
What it is. Gross margin (revenue minus the direct costs of delivery) and EBITDA margin, each benchmarked against sector peers, plus the trajectory of both over three to five years.
Why acquirers price it. Gross margin gives the business model away: it tells an acquirer whether they are buying differentiated work or pass-through work, whether pricing power exists, and how much room sits below the gross line to fund growth. EBITDA margin against peers gets read skeptically in both directions. Below peers invites “what is broken?” Well above peers invites “what is starved?”: deferred capex, under-market wages, marketing turned off.
What good looks like. Gross margin stable or rising, consistent with the sector’s model, and measurable at the job, customer, or SKU level. EBITDA margin at or above the peer set with the growth investment still visibly intact. One caveat: the best margin profile is not always the highest one. A margin peers cannot match will be probed until it is either explained or repriced.
How it moves the multiple. Trajectory moves the number more than level. Eroding gross margin reads as commoditization and pulls the multiple down faster than a low-but-stable margin ever would. And acquirers price growth and margin as a pair: in this market, moderate growth at strong margins usually outprices fast growth at deteriorating ones.
How to improve it in 12-24 months. Build cost accounting granular enough to see margin by customer and by job, then reprice or exit the loss-makers. Run one serious procurement pass. Raise prices where your retention data says the customers will hold. What you should not do is manufacture margin by cutting growth spending in the trailing twelve months; experienced acquirers normalize it right back out.
Customer Concentration: The Classic Multiple-Killer
What it is. The share of revenue, and more revealingly of gross profit, from the top customer and the top five, measured over the trailing twelve months. The same lens applies to suppliers and channels: one distributor, one referral source, one platform you sell through.
Why acquirers price it. A customer who can reprice you or fire you owns a piece of your EBITDA, and the acquirer is being asked to pay for that piece as if it were secure. Concentration is also one of the first screens a lender applies, so it constrains not just the acquirer’s appetite but their financing.
What good looks like. No single account whose loss would force a conversation with the bank. Contracts or genuine switching costs behind the largest relationships. A concentration trend moving down over time. As typical practice, acquirers commonly start asking structural questions when the top customer passes roughly 20-25% of revenue, and a top five above 50% commonly invites a price adjustment or contingent structure; treat those as rules of thumb acquirers apply, not laws.
Key point. Concentration is priced twice: once in the acquirer’s model and again in the lender’s. Even an acquirer who is comfortable with your anchor customer may be unable to finance the deal at full leverage, and what cannot be financed gets restructured: less cash at close, more earnout, more of your price contingent on the very relationship that caused the discount.
How it moves the multiple. Concentration rarely just trims the multiple; it changes the shape of the deal. Price comes down, or the contingent share of consideration goes up, or both. At the extremes it shrinks the buyer universe, because some acquirers screen out concentrated companies before reading the CIM, and a smaller universe is its own price effect.
How to improve it in 12-24 months. This is the slowest fix on the list, which is the argument for starting immediately. Point the new-business engine deliberately away from the anchor account. Diversify within the anchor: more sites, divisions, and decision-makers, so no single person controls the relationship. Secure the anchor with a multi-year agreement. And track gross-profit concentration alongside revenue; if it is better than the revenue number, that is evidence, and if it is worse, you need to know before an acquirer does.
Key-Person Dependence: The Vacation Test
What it is. The degree to which revenue, relationships, and know-how live with the owner or one or two individuals. The working diagnostic is the vacation test: if the owner disappears for four weeks, what breaks? Sales? Estimating? Quality? A license the business legally requires?
Why acquirers price it. The acquirer is buying future cash flows specifically without you in the building. Every function that lives in the owner’s head is a cash flow the acquirer cannot yet see surviving the transition, and they price that uncertainty. Dependence also predicts the deal’s shape: the more the business needs the owner, the longer the acquirer will want the owner bound to it, through transition periods, employment terms, and earnouts.
What good looks like. A second layer of management that runs the week without the owner. The owner out of day-to-day selling, with the largest relationships institutionally held: a team, shared coverage, documented history. Licenses and certifications held by the company or by multiple employees. A business the owner can honestly describe as one they work on rather than in, without the management meetings proving otherwise.
How it moves the multiple. Owner-dependence is one of the two discounts (concentration is the other) that hit price and structure at the same time. Management-run companies attract more acquirer types, including funds that cannot supply an operator, and a broader universe supports the multiple. Owner-centric companies price lower and get paid slower.
How to improve it in 12-24 months. This window is exactly what the fix requires. Hire or promote the second-in-command early enough to build a track record before diligence, and give them real authority, not a title. Transfer key accounts with long, deliberate overlap. Turn the owner’s know-how into documented process. Then take the four-week vacation, and mention it in the management meeting. It is evidence.
Systems and Data Maturity: The Diligence-Ready Premium
What it is. Accrual-basis financials closed monthly, a real system of record (CRM, ERP, or field-service platform the team actually uses), and a regular KPI reporting cadence. The practical test is responsiveness: when an acquirer asks for customer-level margin, cohort retention, or pipeline conversion, does the answer take a day or a month?
Why acquirers price it. Two mechanisms. Credibility: numbers that reconcile cleanly get believed, and every claim in the CIM inherits that credibility or its absence. Speed: diligence-ready companies move fast, and time is the enemy of every deal; delay invites market shifts, cold feet, and repricing. A third signal rides underneath: good systems are evidence the company runs on process rather than on the owner, which pays down the key-person discount at the same time.
What good looks like. Three years of accrual financials an accountant can tie out. A monthly close the management team actually reads. One system of record for customers and work. A monthly KPI pack covering the metrics in this chapter, used to run the business rather than built for the sale. For larger lower-middle-market companies, sell-side quality of earnings work before going to market has become common for exactly this reason: it converts claims into verified facts.
How it moves the multiple. This one is less a re-rating than a discount-remover and a close-protector. The diligence-ready company keeps more of its headline price and closes more reliably; the unprepared company funds the acquirer’s skepticism one unanswerable question at a time.
How to improve it in 12-24 months. The fastest payback of the nine. Move from cash to accrual accounting now, so the trailing twelve months are clean when you need them. Institute the monthly close. Clean the CRM until pipeline reports mean something. Build the KPI pack and govern with it; a report the team visibly relies on is worth more in a management meeting than any exhibit an advisor can produce.
Backlog, Pipeline, and Visibility
What it is. The forward-revenue evidence an acquirer can underwrite, measured however the industry measures it: signed contract backlog in construction and manufacturing, contracted ARR in software, weighted pipeline in professional services, booked schedules in healthcare. A useful common denominator is coverage: how many months of revenue, at the trailing run rate, are already committed.
Why acquirers price it. The scariest page in any acquirer’s model is year one. Backlog and a credible pipeline convert that page from forecast into evidence, and lenders read it the same way. Visibility also protects the owner during the process itself: a company with 12 committed months wobbles far less in the acquirer’s mind when a single soft month lands mid-diligence.
What good looks like. Coverage that is normal or better for the sector’s cycle. Backlog booked at known margins, not revenue alone. A pipeline with defined stages and historical conversion rates behind it. A pipeline that is a hope list, every deal marked highly likely, is worse than no pipeline at all; acquirers have seen thousands of them.
How it moves the multiple. Strong visibility lets an owner defend the top of the range, and it defends the trailing earnings base if performance drifts during the process. Weak visibility invites earnouts keyed to next year’s results, which is the acquirer saying: prove the forecast and I will pay for it.
How to improve it in 12-24 months. Define pipeline stages and record conversion honestly for at least a year before going to market; history is what makes a pipeline underwritable. Pursue multi-year awards and master service agreements over one-off bids. Report backlog monthly with margin attached, so that by the time anyone asks, the answer is documentary.
Asset Intensity and Working-Capital Efficiency
What it is. How much cash the business consumes to produce its EBITDA. Two dials: capital expenditure, split between maintenance capex (what it takes to stay in place) and growth capex, and the working-capital cycle, the days between paying for work and collecting for it (receivable days plus inventory days minus payable days). Appendix B carries the formulas.
Why acquirers price it. EBITDA ignores both dials, and acquirers do not. They price the cash that comes out of the machine, not the accounting earnings that go in. Two companies with identical EBITDA are not equal if one converts most of it into free cash flow while the other feeds it back into trucks and receivables. Working-capital behavior also frames the peg negotiation at close, where a sloppy cycle silently moves real money.
What good looks like. Maintenance capex modest relative to EBITDA and documented separately from growth spending. Collections in line with stated terms, with no drift in the aging. Inventory that turns. Growth that does not consume every incremental dollar it produces.
How it moves the multiple. Capex-heavy businesses trade at lower EBITDA multiples across the market, because acquirers are effectively pricing EBITDA minus maintenance capex even when nobody says so out loud. Poor working-capital discipline reads twice: as a cash drag, and as a question about the quality of a customer base that pays slowly.
How to improve it in 12-24 months. Start splitting maintenance from growth capex in the fixed-asset records now; the history is what makes the argument credible later. Run a real collections program: invoice faster, enforce terms, escalate consistently. Turn slow inventory into cash. Each of these pays three times: in cash, in the working-capital peg, and in the acquirer’s read of how the company is run.
The Stack Is the Story
No acquirer prices these nine indicators one at a time. They read the stack together and ask whether it tells one coherent story. Strong stacks cohere: growth explained by retention, margins consistent with revenue quality, systems that make all of it checkable in an afternoon. Incoherent stacks (fast growth with falling retention, standout margins with no reinvestment) read as measurement error at best and window-dressing at worst, and the discount for “we are not sure what this is” runs deeper than the discount for any single honest weakness.
Illustrative example. Keystone Mechanical and Braddock Mechanical are hypothetical commercial HVAC companies in the same metro, each finishing the year at $14 million in revenue and $3 million in adjusted EBITDA. The two stacks, side by side, tell the story before any model runs:
| KPI | Keystone Mechanical | Braddock Mechanical |
|---|---|---|
| Revenue mix | 60% auto-renewing maintenance agreements | 85% project bids, rebid every year |
| Growth | 8-10% a year for five straight years | Lumpy; one big year from a single campus job |
| Top customer | 7% of revenue | 32% of revenue (one general contractor) |
| Owner’s role | Sets strategy; three salespeople carry quota | Personally estimates and holds the top accounts |
| Financials and systems | Accrual, monthly close, per-job margin | Cash-basis, year-end compilation, spreadsheets |
In a competitive process, Braddock’s offers cluster around 4.5x, roughly $13.5 million, most with an earnout tied to the general contractor renewing. Keystone clears 7.0x, $21 million, most of it cash at close. Same industry, same earnings, $7.5 million apart. The gap is not the EBITDA. It is the stack.
Scoring your own company honestly is the useful exercise, and honestly is the hard part. Rate each of the nine as a strength, a neutral, or a discount, applying an acquirer’s skepticism rather than a founder’s affection. Expect the discounts to cluster: owner-dependence, thin systems, and concentration tend to travel together, because all three grow from the same root, a company built around one person’s energy and one or two defining relationships. That is not a criticism. It is how nearly every good lower-middle-market company starts. It is simply not how the valuable ones are sold. Appendix B restates all nine KPIs as a worksheet-style reference with formulas and diligence-ready measures, and Chapter 15 sequences the fixes into a preparation plan.
The Bottom Line
- A multiple is a price on risk: within any industry, the spread between the 4.5x company and the 7.0x company is mostly the KPI stack, not the sector average.
- Revenue quality and retention re-rate the same dollar of EBITDA; contracts, cohorts, and tenure data are the proof acquirers can underwrite.
- Customer concentration and key-person dependence are the two discounts that cut price and reshape structure at the same time, and both need the full 12-24 months to move.
- Systems and data maturity rarely headline a CIM, but they decide how much of the headline price survives diligence.
- Acquirers read all nine together: a coherent stack with one honest weakness prices better than an impressive stack that does not hang together.
If you would like an outside read on how your own stack would price in today’s market, FIH offers a confidential valuation conversation at fih.com, free and without obligation.