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---
title: Insurance Agency 3.8× SDE vs 1.8× Revenue | Case Study
description: An insurance agency owner almost accepted 1.8× revenue from an aggregator. SDE-based valuation and a competitive process yielded +$256K in effective value.
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---

# Insurance Agency 3.8× SDE vs 1.8× Revenue | Case Study
> An insurance agency owner almost accepted 1.8× revenue from an aggregator. SDE-based valuation and a competitive process yielded +$256K in effective value.

---

Video Guide

Watch: Insurance Agency — Book-of-Business Exit Strategy

7 min

* * *

## The Situation: When the Industry's Default Valuation Method Leaves Money on the Table

A 62-year-old independent insurance agency owner in a Central Texas suburb had built his P&C-focused agency over 19 years. He had a clean book of business, a loyal staff of four licensed producers and two CSRs, relationships with 14 appointed carriers, and a reputation as the go-to commercial lines specialist for small businesses in the western suburbs of Austin. His wife had been asking about retirement for two years. His answer was always the same: "I just need to know what it's worth."

So he asked around. A friend who had sold his agency in Dallas three years earlier told him the standard rule: insurance agencies sell for 1.5× to 2.5× revenue. At $1.85 million in total annual commissions and fees, that suggested a value somewhere between $2.78 million and $4.63 million. The friend's agency had sold at 1.9× revenue.

Armed with that number, the owner reached out to a regional insurance brokerage aggregator that had been sending acquisition letters for years. Their initial indication of interest arrived quickly: $3.33 million — approximately 1.8× revenue. Clean deal. Cash at close with a two-year employment agreement and a 90% retention earnout over 24 months.

It sounded reasonable. The owner almost accepted. But a business broker who specialized in service-industry transactions reviewed the terms and identified something the aggregator's offer had deliberately obscured: the agency's true earning power — measured by SDE, not top-line revenue — supported a materially higher valuation when properly presented to the right buyer pool.

* * *

## The Agency at a Glance

| Metric | This Agency | Industry Benchmark |
| --- | --- | --- |
| Total Annual Commission & Fee Revenue | $1,850,000 | Independent P&C agencies in the $1M–$5M revenue range represent the most active M&A segment; median sale price for insurance agencies rose steadily through 2024–2025 |
| Revenue Mix | 62% commercial lines / 38% personal lines | Commercial-heavy books command premium multiples due to higher per-policy revenue and stickier client relationships |
| Owner's SDE | $445,000 | SDE margin of approximately 24% — consistent with well-run independent agencies; average EBITDA margins of 15–20%, with high performers reaching 25–30% |
| Normalized EBITDA | $370,000 | After imputing market-rate compensation for the owner's production and management role |
| Policy Count | 2,840 active policies | Diversified across commercial property, general liability, commercial auto, workers' comp, homeowners, and personal auto |
| Client Retention Rate | 91% (trailing 12 months) | Industry average retention: approximately 84–85%; top-performing agencies maintain 93–95% |
| Average Revenue per Client | $1,420 per account (commercial) / $680 per account (personal) | Multi-policy commercial accounts generate 2–3× the revenue of single-policy personal lines clients |
| Policies per Client | 1.9 average | Agencies with 1.8+ policies per client see annual churn rates drop to approximately 5% |
| Carrier Appointments | 14 active carrier appointments | Broad carrier access increases competitive quoting ability and reduces concentration risk |
| Customer Concentration | No single client exceeds 3.8% of revenue | Well below the SBA's informal 20–25% scrutiny threshold |
| Licensed Producers | 4 (including the owner) | Three non-owner producers with average tenure of 6.2 years; each manages an independent book |
| Technology Stack | Applied Epic AMS; comparative rater; client portal | Modern agency management system supports efficient operations and clean data for due diligence |

**Where these numbers come from:** Revenue and SDE benchmarks fall within ranges for independent P&C insurance agencies. Industry data reports SDE multiples for insurance agencies ranging from 3.18× to 4.33×, and EBITDA multiples of 4.38× to 4.89×. Revenue multiples of 1.57× to 2.41× are also documented but are considered less reliable for agencies with strong profitability. Consistent year-over-year increases in insurance M&A multiples have been observed through H1 2025. Industry reports show that EBITDA multiples for insurance brokerages with $1M+ in EBITDA averaged 11.8× in H1 2025 — and that deals with M&A advisors traded at multiples approximately 25% higher than those without representation. For smaller agencies in the $1M–$3M revenue range, multiples are lower but still significantly above the revenue-only benchmarks commonly cited in casual industry conversations.

* * *

## The Problem With the Revenue Multiple Approach

The aggregator's offer of 1.8× revenue ($3.33 million) was not unreasonable as a starting point — it fell within the commonly cited 1.5×–2.5× revenue range. But the revenue multiple method has a fundamental flaw: it treats a high-margin agency the same as a low-margin one.

Here's the math that reveals the gap:

| Valuation Method | Multiple Applied | Implied Value | Context |
| --- | --- | --- | --- |
| Revenue Multiple (aggregator's offer) | 1.8× revenue | $3,330,000 | Standard industry shorthand; does not account for profitability |
| SDE Multiple (broker's market analysis) | 3.8× SDE | $1,691,000 | Applied to $445,000 SDE — the actual earning power available to an owner |
| EBITDA Multiple (institutional basis) | 4.7× EBITDA | $1,739,000 | Consistent with reported range of 4.38×–4.89× |

At first glance, the aggregator's revenue-based offer of $3.33 million looks significantly higher than the SDE or EBITDA valuations. But this comparison is misleading — and it's exactly the confusion that revenue-based pricing is designed to exploit.

**The aggregator's offer included a below-market employment agreement.** The two-year employment agreement compensated the owner at $95,000 per year — roughly 40% of what his time and production were worth based on the agency's revenue. Over two years, the below-market salary represented approximately $190,000 in foregone compensation, reducing the effective purchase price to approximately $3.14 million.

**The 90% retention earnout was designed to claw back value.** The earnout paid $166,500 per year only if 90% of policies renewed. In insurance, where the industry average retention is approximately 84–85%, a 90% threshold is achievable for a well-run agency — but any disruption during transition (carrier changes, staff departures, premium increases from hard-market conditions) could push retention below the threshold and eliminate the earnout entirely. The expected value of the earnout, adjusted for realistic transition risk, was significantly less than the face amount.

**The real enterprise value was higher when properly structured.** When the broker properly documented the agency's SDE, added back the owner's above-market compensation, identified $58,000 in legitimate discretionary add-backs (personal vehicle, family cell plans, club memberships, above-market health insurance), and presented the agency to a broader pool of qualified buyers, the normalized SDE rose to $445,000 — and the deal structure was cleaner, with less value buried in employment agreements and aggressive earnout thresholds.

* * *

## What Changed the Outcome

Rather than accepting the aggregator's first offer, the owner engaged a business broker who took four specific steps:
## 1. Recast the Financials Using SDE, Not Revenue

Revenue multiples are a shorthand. They're useful for quick conversations, but they systematically undervalue high-margin agencies and overvalue low-margin ones. In this case, the agency's 24% SDE margin was well above the industry's 15–20% average EBITDA margin. By presenting the financials on an SDE basis with properly documented add-backs, the broker demonstrated earning power that the revenue multiple had concealed.

At a 3.8× SDE multiple, every $10,000 in missed add-backs cost the seller $38,000 in enterprise value.
## 2. Documented the Book Quality, Not Just the Book Size

Insurance agency buyers pay for retention, not just revenue. In this illustrative scenario, the broker prepared a detailed book analysis showing:

**91% policy retention** — seven points above the 84% industry average. Data confirms that top-performing agencies maintain 93–95% retention, and that a sustained 5% improvement in retention can double agency profit over five years.

**1.9 policies per client** — above the threshold where multi-policy bundling significantly reduces churn. Data shows that agencies with 1.8+ policies per client see annual churn rates drop to approximately 5%.

**62% commercial lines mix** — commercial accounts are stickier, generate higher per-account revenue, and renew at higher rates (90–95%) than personal lines (85–90%), according to industry benchmarks.

**No single client above 3.8% of revenue** — eliminating the customer concentration discount that suppresses multiples for agencies dependent on a few large accounts.

This book quality data was the single most important factor in supporting a premium multiple.
## 3. Addressed the Owner Dependency Risk Before Going to Market

The owner personally managed the agency's largest 40 commercial accounts — representing approximately 28% of total revenue. If he left and those relationships weakened, a buyer faced material revenue risk.

In this illustrative scenario, the broker recommended — and the owner implemented over six months before listing — a structured transition of 30 of those 40 accounts to the agency's two senior producers. The transition included joint renewal meetings, formal account re-assignments in the AMS, and updated carrier contacts. By listing date, the owner's personal production had declined from 28% to 11% of revenue, and the two senior producers had demonstrated they could retain the relationships independently.

This one action — reducing owner dependency from 28% to 11% — was the difference between a 3.2× and a 3.8× SDE multiple, based on ranges showing that agencies with reduced owner dependency command the upper end of the 3.18×–4.33× SDE range.
## 4. Ran a Competitive Process With Multiple Buyer Types

Instead of negotiating with one aggregator, the broker identified and contacted five qualified buyer categories: two regional aggregators, one PE-backed insurance platform executing a Texas roll-up strategy, one independent agency owner in San Antonio seeking geographic expansion, and one corporate refugee with insurance industry experience and SBA pre-qualification.

The competitive process generated four LOIs ranging from 3.2× to 4.1× SDE. The eventual buyer — the PE-backed platform — offered a premium because the agency's commercial book aligned with their existing specialty lines, creating cross-selling synergies that justified the higher multiple.

Industry data supports this approach: analysis shows that deals conducted with professional M&A advisors traded at multiples approximately 25% higher than those negotiated without representation.

* * *

## The Deal (Illustrative Outcome)

*The following figures are estimates based on industry multiples applied to the illustrative scenario above. Actual transaction values may differ materially. Results vary significantly based on individual agency characteristics, book composition, market conditions, and deal structure.*

| Component | Amount | Context |
| --- | --- | --- |
| Enterprise Value | $2,726,000 | 3.8× SDE on $445,000 — equivalent to approximately 1.47× revenue; within SDE range of 3.18×–4.33× |
| Deal Structure | 80% cash at close / 15% seller note / 5% retention holdback | Seller note: 3-year term, 7% interest. Retention holdback released at 12 months if 85%+ policies renew (achievable threshold vs. 90% in original offer) |
| Transition Agreement | 12 months at $140,000 (market rate) | Structured as a genuine consulting engagement, not a disguised price reduction |
| Aggregator's Original Offer (Face Value) | $3,330,000 | 1.8× revenue |
| Aggregator's Original Offer (Effective Value) | ~$2,810,000 | After adjusting for below-market employment ($190K haircut) and discounting the 90% retention earnout for transition risk |
| **Net Improvement in Effective Value** | **+$256,000** | After adjusting both offers for employment terms, earnout risk, and tax treatment |
| Time From Broker Engagement to Close | 142 days | Below national median of 198 days |

**The critical insight: the aggregator's face-value offer of $3.33 million was higher than the broker-negotiated deal of $2.73 million on paper. But the effective value — after adjusting for below-market employment, aggressive earnout thresholds, and unfavorable tax treatment — was lower.** In insurance agency M&A, the deal structure often matters more than the headline number.

* * *

## Why Insurance Agency Valuations Confuse Everyone

The insurance agency M&A market has a unique problem: two completely different valuation languages are used simultaneously, and they often produce conflicting numbers.

**Revenue multiples (1.5×–2.5×)** are the shorthand everyone uses in casual conversation. They're fast, they're intuitive, and they're approximately right for agencies with average margins. But they systematically undervalue efficient agencies and overvalue struggling ones. Industry data reports that revenue multiples for insurance agencies range from 1.57× to 2.41× — but notes that cash flow-based multiples are preferred for accurate valuations.

**SDE multiples (3.18×–4.33×)** are what sophisticated buyers actually use for smaller, owner-operated agencies. These multiples are higher numerically but applied to a smaller base number (SDE, not revenue), so the resulting enterprise values depend entirely on the agency's margin profile.

**EBITDA multiples (4.38×–4.89× for smaller agencies; 8×–12× for larger brokerages)** are the institutional buyer's language. 2025 data shows average EBITDA multiples of 11.8× for agencies with $1M+ in EBITDA.

For a Central Texas independent agency in the $1M–$3M revenue range, the practical implication is clear: the gap between a casually negotiated deal and a professionally marketed one can easily exceed 20–25% of total effective value.

* * *

## What This Means for Insurance Agency Owners Considering a Sale

**Your book of business has value only if the retention survives the transition.** Every buyer is purchasing future renewal commissions. If the book is tied to the owner's personal relationships, the buyer prices in a retention discount. Agencies that have systematically transitioned client relationships to non-owner producers before listing command meaningfully higher multiples.

**Revenue multiples are a conversation starter, not a valuation.** If someone offers you "2× revenue" without analyzing your SDE, margin, retention, or book composition, they are using a shorthand that may not reflect your agency's true market value.

**Retention is your single most valuable metric.** The industry average is 84–85%. Top agencies maintain 93–95%. A 5% improvement in retention can double profit over five years. And in a transaction, verified high retention is the factor that moves a multiple from the bottom of the range to the top.

**Multi-policy density protects your valuation.** Agencies with 1.8+ policies per client see dramatically lower churn. This metric is easy to track, directly actionable, and immediately visible to buyers during due diligence.

**Technology matters more than you think.** An agency running on a modern AMS with clean data, documented workflows, and a client portal is significantly easier for a buyer to integrate — and therefore worth more — than an agency running on paper files and spreadsheets.

**The buyer pool is deeper than the aggregator mailers suggest.** A competitive process with multiple buyer types — aggregators, PE platforms, independent agency owners, and individual buyers — consistently produces higher effective prices than a bilateral negotiation.

* * *

> 
> 
> **COMPOSITE CASE STUDY NOTICE:** This case study is a composite illustration created for educational purposes only. It is based entirely on publicly available industry benchmarks, transaction data, and general market conditions — not on any specific transaction, agency, or individual. All names, locations, and identifying details are fictional. Financial figures are illustrative and derived from industry sources. No confidential information was used in the creation of this content. This does not constitute financial, legal, or tax advice. Individual results vary significantly based on agency characteristics, book of business composition, carrier relationships, market conditions, deal structure, and many other factors. Always consult qualified professionals before making business decisions. Any valuation, pricing estimate, or financial projection discussed herein is an estimate only and is based on information available at the time of preparation. Actual transaction values may differ materially from estimates. Travis Business Advisors does not guarantee any specific outcome, sale price, or timeline.
> 

> 
> 
> **REGULATORY NOTICE:** Insurance agencies in Texas operate under the regulatory authority of the Texas Department of Insurance (TDI). Carrier appointments, producer licensing, agency ownership transfers, and continuing education requirements are subject to TDI oversight. Requirements change over time. Always consult qualified attorneys and licensed insurance professionals for your specific situation before initiating any transaction involving an insurance agency.
> 

* * *

*Published by Travis Business Advisors, Austin, Texas • travisbusinessadvisors.com*
## Explore the Full Insurance Agency Knowledge Hub

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* [The Situation: When the Industry's Default Valuation Method Leaves Money on the Table](#the-situation-when-the-industrys-default-valuation-method-leaves-money-on-the-table)
* [The Agency at a Glance](#the-agency-at-a-glance)
* [The Problem With the Revenue Multiple Approach](#the-problem-with-the-revenue-multiple-approach)
* [What Changed the Outcome](#what-changed-the-outcome)
* [1. Recast the Financials Using SDE, Not Revenue](#1-recast-the-financials-using-sde-not-revenue)
* [2. Documented the Book Quality, Not Just the Book Size](#2-documented-the-book-quality-not-just-the-book-size)
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