Math

Math

What private equity actually values in a home service business

What buyers actually pay for

Private equity has been rolling up home services aggressively for the better part of a decade. Solar, HVAC, roofing, plumbing, pest control, exteriors. The deal flow has accelerated, the multiples have moved (in both directions), and the diligence process has gotten more sophisticated.

If you’re running a $20M+ home service business, you’ve probably been pitched on a process by at least one banker, gotten a cold email from a PE associate, or fielded an exploratory call from a platform CEO doing add-on acquisitions. The conversation is no longer hypothetical.

What most operators don’t fully understand going in is what actually drives the multiple. The headline metrics are obvious: revenue, EBITDA, growth rate. The factors that determine whether your business prices at 4x EBITDA, 7x, or 10x sit underneath those headline numbers, and a handful of them get materially underweighted by sellers, including one most operators don’t think about at all.

Here’s how PE actually values these businesses, and where the CRM fits in.

The six factors that actually drive home service multiples

Strip away the deal-specific noise and PE buyers consistently weight six factors when underwriting a home service investment. The order below is roughly how heavily each one influences the final multiple, in most processes.

1. EBITDA quality and durability

Not just the EBITDA number. How the EBITDA is earned. Recurring revenue streams (maintenance contracts, service plans, subscription components) get higher multiples than purely project-based revenue. Stable margin trends matter more than peak margin. A business earning 18% EBITDA margin consistently over three years usually prices better than one earning 22% one year and 14% the next.

Operators preparing for a process underweight this by assuming EBITDA is EBITDA. Buyers know it isn’t.

2. Organic growth rate

How fast the business is growing without acquisitions or unusual marketing investment. A business growing 25% organically gets priced very differently from one growing 8%, even at the same absolute revenue. The buyer is paying for forward-looking growth, not historical revenue.

The honest question PE asks: is this growth durable, or is the business riding a temporary tailwind that’s already starting to fade?

3. Customer acquisition efficiency

What it costs the business to acquire a customer, and whether that cost is trending up or down. A business with declining CAC, diversified acquisition channels, and organic referral motion gets rewarded. A business heavily dependent on paid Meta and Google ads, with CAC trending up, gets discounted.

This factor has gotten more weight in PE underwriting over the past two years specifically because ad costs have been rising and smarter buyers have started asking pointed questions about whether the growth rate is durable at current acquisition economics.

4. Customer and channel concentration

Concentration risk gets directly haircut from the multiple. A business where one referral partner produces 40% of leads, or one ad channel produces 60% of new customers, gets a lower multiple than a business with diversified acquisition. Same revenue, same EBITDA, lower multiple, because the buyer is pricing in the risk of that channel becoming uneconomic.

5. Operational systems and team depth

Can the business run without the founder in the chair? Are there documented systems, accountable middle management, and processes that survive changes in staffing? Operator-dependent businesses price lower than systemized ones, because the buyer is taking on execution risk every time a key person leaves.

6. The factor most sellers underweight: customer database quality and yield

This is the one most operators don’t include in their mental model going into a process, and it’s the one increasingly weighted by sophisticated buyers.

A home service CRM with 10,000 customer records is not the same asset as a CRM with 10,000 customer records that gets actively worked for repeat sales, referrals, and reactivation. The first one is historical data. The second one is a yielding asset that produces predictable, low-CAC revenue.

PE buyers care about this for a specific reason: it directly affects factors 1, 2, and 3. An actively-worked CRM produces higher-quality EBITDA (lower-CAC repeat revenue), supports faster organic growth (recovered customers don’t require new ad spend), and improves customer acquisition efficiency at the portfolio level (every existing customer is a potential acquisition channel).

The result: a business with a working customer recovery and monetization function gets priced as a higher-quality version of the same business, often by a full turn of EBITDA or more.

“A CRM full of records is data. A CRM that gets worked is an asset.”

What this looks like in a real process

Two hypothetical home service businesses going to market in 2025. Same vertical, same geography, same revenue and EBITDA. The only meaningful difference is what’s happening with the customer database.


Metric

Business A

Business B

Annual revenue

$25M

$25M

EBITDA

$3.75M (15%)

$3.75M (15%)

Organic growth rate

12%

20%

CAC trend

Rising

Stable

CRM records

18,000

18,000

Active recovery function

No

Yes

% revenue from existing customers

22%

38%

Likely EBITDA multiple

5.0x to 6.0x

7.0x to 8.5x

Implied enterprise value

$18.75M–$22.5M

$26.25M–$31.9M


Same revenue. Same EBITDA. Roughly $7M to $10M difference in enterprise value, driven primarily by what the two businesses are doing with their existing customer base.

The multiple difference isn’t arbitrary. Business B is showing the buyer that:

  • Growth is durable because it doesn’t depend entirely on rising ad spend

  • EBITDA is higher quality because a meaningful portion is repeat / recovered revenue at lower CAC

  • The customer database is a yielding asset, which de-risks the forward case

  • The operational discipline to run this function suggests broader operational maturity

Each of those signals influences the multiple. Stacked together, they shift the business into a different valuation tier.

What sophisticated buyers actually look at in diligence

If you go to market, expect questions like these to come up during diligence. Most operators aren’t prepared for them.

  • What percentage of your revenue comes from customers acquired in the last 12 months versus existing customers? Buyers want to see a healthy mix. Too much from new customers signals dependency on ad spend. Too much from existing customers may signal weak top-of-funnel.

  • What is your customer reactivation rate, and how do you measure it? Most operators have no answer. The ones who do are immediately differentiated.

  • How many records in your CRM had meaningful contact in the last 90 days? This is a proxy question for whether the CRM is a working asset or a historical record.

  • What is your revenue per customer over their full lifetime in the database? The answer suggests whether the business is extracting full value from its customer relationships or leaving meaningful money on the table.

  • What would happen to revenue if you cut ad spend by 30% next quarter? Buyers ask this to test how much of the business depends on continuous paid acquisition. Operators with strong recovery functions can answer confidently. Others can’t.

Operators who can answer these questions cleanly, with data, are running businesses that price differently from operators who can’t.

Why this matters even if you’re not selling soon

The instinct is to read all this and think: “useful when I get closer to a process, not relevant right now.” That’s a mistake, for two reasons.

First, multiple expansion compounds over time. A business that builds a working customer recovery function in 2025 has three years of data, optimization, and recurring revenue from existing customers by the time it goes to market in 2028. A business that starts a year before the process gets a thin layer of activity but not the same evidence of operational maturity.

Second, the rest of the value-driving factors are easier to improve when this one is in place. EBITDA quality improves, organic growth accelerates, CAC stabilizes, customer concentration diversifies. The customer-database lever pulls the other levers in the same direction.

The operators currently building toward enterprise value, not just this year’s revenue, are positioning their businesses to price in a different tier when they eventually transact.

The honest read

Most home service operators reading this are not in market tomorrow. Most aren’t in market this year. But most are increasingly aware that the conversation is coming, that PE is active in their vertical, and that the next two to five years will include real decisions about exit, recapitalization, or staying independent.

The decisions that affect how that future transaction prices are being made right now. Hiring choices. System investments. Marketing allocation. The decision to actively work the customer database, or not, is one of them, and it’s the one most underweighted by operators relative to how much it actually moves the eventual multiple.

Your CRM is bigger than you think. Not because it has more records than you realized. Because the records inside it, actively worked, show up in enterprise value as something fundamentally different from the same records sitting unused.

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