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Tactical · prose B06 For Buyers · Valuation & Financial Discipline

Red flags in seller financials — the seven patterns.

Most seller financials don't lie outright — they mislead by omission, optimism, and unverified claims. Seven patterns separate a fragile book from a durable one, and one verification method underpins all of them. A single flag is a negotiation data point; four clustering together is a signal to question whether the deal is worth pursuing at all.

A buyer reading a seller's financials is looking for the gap between what's claimed and what's true. The seller isn't usually committing fraud — they're presenting an optimistic picture, leaving out the inconvenient, and stating retention numbers no one has checked. Seven patterns reliably surface the gap, and learning to spot them turns a stack of statements into a risk map. The most important of the seven is the one that catches the others.

§ 01 · The seven patternsWhat to look for.

PatternWhat it signals
Revenue up, customers flatGrowth coasting on hard-market rate, not new business
Retained earnings ≠ profitsReported profit the balance sheet doesn't support
Expense ratios off-benchmarkRouted costs, missing expenses, or hidden liabilities
Retention claimed, not shownAn over-stated number with no data behind it
Producer / carrier concentrationRevenue dependent on one person or one carrier
Triangulation failureRevenue that won't reconcile across three sources

The seven run from the obvious to the subtle. Revenue growth without customer growth — more than ~5% annual revenue-per-policy growth with no matching new-business production — means the book is coasting on hard-market rate increases, not organic performance, and the multiple should reflect that fragility. Retained earnings that don't match cumulative profits beyond a 15% tolerance demands documentation, or the normalized number gets reduced to what the balance sheet supports. Expense ratios outside benchmark — a total ratio materially below the normal 55%–70% — signal costs that aren't on the books. The remaining four are retention claims without data, producer dependency, carrier concentration, and the triangulation test, each covered below.

§ 02 · The triangulation testThe verification backstop.

Journal axiom · 1 of 2

The triangulation test is the backstop behind every other flag: revenue must reconcile within 3% across three independent sources — the management-system production reports, the carrier production reports, and twelve months of bank statements. A variance above 3% requires line-by-line reconciliation. And a seller's refusal to share carrier reports or bank statements isn't a red flag to price around — it's a stop sign.

Triangulation is what converts a seller's claimed revenue into verified revenue. Three sources that should agree — what the management system records, what the carriers report paying, and what actually hit the bank — are cross-checked, and a variance over 3% means something doesn't add up and needs reconciling line by line before the number can be trusted. The distinction between a red flag and a stop sign matters here: a 5% variance is a flag to investigate and price; a refusal to provide the source documents at all is a refusal to be verified, which is a reason to walk, not negotiate. Triangulation is the same evidentiary discipline behind a proper quality-of-earnings review.

§ 03 · The concentration flagsOne person, one carrier.

Two concentration flags decide how much of the revenue actually survives the sale. Producer concentration is the people risk: top-3 producers generating more than 40% of revenue is a danger threshold, and an owner personally producing more than 40% means the book shrinks materially when they leave. Worse, any producer above 10% of revenue without an enforceable non-compete or non-solicit is a "free agent" — they legally own those relationships and can walk with them, so that revenue is modeled as at-risk. Carrier concentration is the supply risk: 40% of commission from a single carrier is the danger threshold, but severity depends on context — a long-tenured, low-loss-ratio, fully-appointed carrier at 40% is manageable, while a short-tenured, high-loss, limited-appointment carrier at even 18% is the real exposure. The deeper read on concentration is in revenue concentration risk.

§ 04 · Retention and the cluster ruleOne flag prices, four flags walk.

The retention flag is the highest-friction one because sellers chronically over-state it. The rule of thumb: a retention rate verified by management-system data above 92% earns a premium multiple; below 85% takes a material discount; and a retention claim with no management-system report behind it gets the claimed rate discounted by at least 5 points until diligence verifies it — the verified number is the only number that counts. Beyond the individual flags, the most important discipline is reading them together. One flag is a negotiation data point — it adjusts the price. But four flags clustering — say, off-benchmark expenses, unverified retention, producer dependency, and a triangulation gap all at once — is a systemic-problem signal that shifts the question from "what's the right price?" to "is this deal worth pursuing at all?" A data-backed price reduction during diligence is an ethical retrade, not a tactic; a cluster of unresolved flags is a reason to pass. How these flags feed the multiple is covered in risk-adjusted multiples.

Terminology on this shelf

Seven red-flag patterns
Revenue/customer mismatch, retained-earnings gap, off-benchmark expenses, unverified retention, producer dependency, carrier concentration, triangulation failure.
Triangulation test
Revenue reconciled within 3% across management-system reports, carrier reports, and bank statements.
Free-agent risk
A producer above 10% of revenue with no enforceable non-compete — their revenue is modeled at-risk.
Carrier concentration
40% of commission from one carrier — severity modulated by tenure, loss ratio, and appointment status.
Retention discount
An unverified retention claim discounted at least 5 points until management-system data confirms it.
Ethical retrade
A data-backed price reduction justified by diligence findings — not a predatory tactic.

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