Quartile Beats Sector: The $17.5M Question for 2027 Sellers

On $5M of EBITDA, the difference between a bottom-quartile and a top-quartile multiple is about $17.5M of enterprise value. That is the p25-to-p75 spread in turns multiplied by EBITDA.

Monoco's broad-market data, as of the end of September 2025, puts the p25 at 4.84x, the median at 6.4x and the p75 at 8.34x. That is a 3.5-turn spread. On the same earnings, it means about $24.2M of enterprise value at p25 against $41.7M at p75.

The $5M is an illustrative input, not a market figure. The gap is the distance between two quartile outcomes. It is not a gain any company is promised, and no seller should plan to capture all of it. It does size the prep decision a 2027 seller is making now.

The spread barely changes by sector

Monoco tracks four sectors alongside the broad market. The p25-to-p75 spread is 3.31 turns in manufacturing, 3.41 in distribution, 3.36 in specialty contracting and 3.56 in plumbing and field services. The widest and narrowest spreads differ by 0.25 turns.

On $5M of EBITDA, the quartile gap runs from $16.55M in manufacturing to $17.8M in plumbing and field services. In every set, the p75 is about 1.72x the p25.

Sector moves price far less. The highest sector median is 6.49x, in plumbing and field services. The lowest is 6.05x, in manufacturing. That is 0.44 turns, or about $2.2M on $5M of EBITDA. The broad-market quartile gap is nearly 8x the gap between sector medians.

Two cautions apply. This compares a spread within a distribution with a gap between medians, so it shows scale, not a precise trade-off. Part of the uniformity may also come from how the data was built, as the methodology note explains. Read the result as directional. Most founders cannot change sector before a sale, but they can influence where their company sits within it.

Where rates and multiples stand

In September 2026, the FOMC raised the federal funds target range by a quarter point. At its October meeting it held the range. Minutes of that meeting are scheduled for release on November 18. We make no call on what they will say.

Market-wide re-rating has done little for smaller deals recently. GF Data's average multiple for its smallest enterprise-value band was 6.1x in 2021 and stayed close to flat through 2025. That is history, not a forecast, and we draw no link from rates to multiples. Still, a 2027 plan that depends on the whole market re-rating relies on something the recent record has not shown. Placement within the range is the part of price a founder can most influence.

What moves a company between quartiles

Size and growth have the clearest data. In GF Data's 2025 year-to-date figures, average multiples rose with deal size, from 6.4x in the smallest enterprise-value band to 8.3x two bands up. Those figures compare different companies. They do not show what the same company will fetch after it grows. Treat them as a direction, not a promised premium.

Advisory guidance treats owner dependence as a discount. Owner-operated businesses, an owner still on the tools, single-brand dependency and residential-only work are all marked down. Premiums go to multiple locations, a licensed workforce, commercial mix and recurring service agreements that make up a large share of revenue. The source calls its ranges guide values rather than a promise of outcome, so treat them as indicative.

Earnings quality and customer concentration complete the list. On these two, we are giving Monoco's judgment rather than sourced figures. Buyers pay for EBITDA they can verify and expect to repeat. Two things push a deal toward the bottom of the range: adjustments that fail a quality-of-earnings review, and revenue that leans on a few customers.

The timing split below is also our judgment. In 12 to 24 months, a founder can usually:

• clean up the books and commission a sell-side quality-of-earnings review
• document every EBITDA adjustment
• build a second management layer and take the owner off the tools
• start shifting new work toward recurring contracts

Other changes are multi-year programs. These include materially reducing customer concentration, changing the commercial and residential mix, adding locations and growing into a larger size band.

In our view, a 2027 prep budget gets the most from the first list. Longer programs make sense where the timeline is realistic.

Methodology note. Monoco's quartile figures are as of the end of September 2025, more than a year before publication. When we checked, GF Data had not released Q3 2026 figures. We will refresh this analysis when it does.

Base multiples come from GF Data Q3 2025 for its smallest enterprise-value band, tilted by industry. Quartile spreads come from BizBuySell sold-deal benchmarks. The spread arithmetic is ours.

These are different deal populations. GF Data covers completed private-equity-sponsored transactions reported by sponsors. BizBuySell covers Main Street closed sales, which are typically much smaller deals. Applying spreads from one population to the base of the other may produce near-uniform spreads partly as a by-product of method. A p75-to-p25 ratio this steady across sectors is consistent with that effect. Monoco's sector multiples are one source among several, and a seller should test them against deal-specific comparables.