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Methodology

Every figure, and what it rests on.

The engine is deterministic: the same inputs always return the same figures. Every method shows its formula and inputs, each saved run records the engine version that produced it, and no AI layer computes, adjusts or rounds a figure.

Seven methods

  1. 01

    Revenue Multiple

    Top-line multiple. Supplied by the published index (size-tier midpoint); adjustable in the workbench.

    Formula, as the report shows it
    $2.37M × 2.75×
    Inputs
    Trailing 12-month revenue (Billing / fee-billing system or accounting ledger)
    When an input is missing
    The multiple defaults to the published size-tier index: the midpoint on the sell lane, the index low on the buy lane. A supplied multiple wins.
    When it drops out
    On the sell lane, no revenue returns zero and carries no weight. On the buy lane, missing revenue is derived as screening revenue from filed AUM and client count, using published revenue per client. A target ruled non-retail is not screened; target-provided revenue is required before a ceiling.
  2. 02

    EBITDA Multiple

    Profitability-based. Defaults to the published index midpoint for firms this size; sensitive to how owner comp is normalized.

    Formula, as the report shows it
    $616K × 5.25×
    Inputs
    EBITDA (Accounting ledger (P&L))
    When an input is missing
    The multiple defaults to the published size-tier index: the midpoint on the sell lane, the index low on the buy lane. A supplied multiple wins.
    When it drops out
    No EBITDA: the method returns zero and carries no weight.
  3. 03

    EBOC Multiple

    Earnings before owner comp — neutralizes owner pay policy. No published EBOC index exists, so this multiple is an engine placeholder and the method carries less weight.

    Formula, as the report shows it
    $1.07M × 4.20×
    Inputs
    Earnings before owner compensation (Accounting ledger plus owner payroll detail)
    When an input is missing
    No published EBOC index exists, so the multiple is an engine placeholder (4.20×) unless one is supplied, and the method carries less confidence.
    When it drops out
    No EBOC: the method returns zero and carries no weight.
  4. 04

    Discounted Cash Flow

    Most theoretically sound, most assumption-sensitive.

    Formula, as the report shows it
    5-yr FCF @ 5.2% growth, 14% discount, 3% terminal
    Inputs
    Free cash flow (DCF base year) (Accounting ledger); Expected annual growth (Portfolio accounting net-new-asset history)
    When an input is missing
    Missing growth, discount or terminal-growth rates run on the engine defaults, and the run says which.
    When it drops out
    Cash flow missing or not positive: the method is excluded and the run is provisional.
  5. 05

    Client Value

    Relationship-count proxy. Useful sanity check on small books.

    Formula, as the report shows it
    168 clients × $39K
    Inputs
    Client households (CRM); Value per client relationship (OPTIONAL — the server derives it: revenue / households capitalized at the practice's revenue multiple, falling back to the study's AUM-tier median revenue per client. Only send a figure if the user has their own.)
    When an input is missing
    Value per client is supplied, or derived from the firm's own revenue per household, or from the published median revenue per client for its AUM tier, capitalized at the revenue multiple.
    When it drops out
    No households: the method returns zero. A buy target with no revenue may use screening revenue derived from filed AUM and client count using published revenue per client. Targets ruled non-retail are not screened: Client Value resting on the retail median is excluded.
  6. 06

    AUM Percentage

    AUM percentage 1.55% = midpoint of the published mid-size range 1.40%–1.70% of AUM (Sica Fletcher, RIA Valuation Multiples (SCF Index) (2024)). Adjusted by the six-factor quality multiplier.

    Formula, as the report shows it
    $312.40M × 1.55% × 1.24× quality
    Inputs
    Assets under management (Portfolio accounting / custodian data)
    When an input is missing
    The rate defaults to the midpoint of the published AUM-percentage range for the practice's AUM tier; the engine constant (1.50%) applies only when no published tier does, and lowers the method's confidence.
    When it drops out
    No AUM: the method returns zero and carries no weight.

    Adjusted by the quality multiplier.

  7. 07

    Comparable Transactions

    Low end of the published revenue-multiple range for firms this size, adjusted by the quality multiplier.

    Formula, as the report shows it
    $2.37M × 2.50× × 1.24× quality
    Inputs
    Trailing 12-month revenue (Billing / fee-billing system or accounting ledger)
    When an input is missing
    The multiple is the low end of the published revenue-multiple range for firms this size.
    When it drops out
    On the sell lane, no revenue returns zero and carries no weight. On the buy lane, missing revenue is derived as screening revenue from filed AUM and client count, using published revenue per client. A target ruled non-retail is not screened; target-provided revenue is required before a ceiling.

    Adjusted by the quality multiplier.

Formulas shown with the fictional sample practice's inputs from the worked example below.

From seven methods to one range

Seven methods, one practice

Fictional sample practice · sell lane
Fair $5.67M

Revenue Multiple

confidence 92

EBITDA Multiple

confidence 84

EBOC Multiple

confidence 60

Discounted Cash Flow

confidence 62

Client Value

confidence 58

AUM Percentage

confidence 88

Comparable Transactions

confidence 74

$2M$4M$6M$8M
Suggested asking price $6.23M

Which side of the table

Seller lane: the asking price sits above the fair estimate.

Free cash flow

With free cash flow on file, discounted cash flow takes part in the blend.

Range $3.23M – $7.36M. Every position is recomputed by the engine for the choice you make; nothing on this chart is typed in.

Weighting

  • Confidence (default). Each method is weighted by its own data-confidence score, so a method resting on a placeholder counts for less.
  • Balanced. Fixed weights: Revenue 20 · EBITDA 20 · EBOC 15 · DCF 15 · Client 10 · AUM % 10 · Comps 10.
  • Custom. Weights you set; a Network valuation policy applies its weights this way.

Fair estimate, low and high

Only methods with a value above zero and a weight above zero take part. The fair estimate is their weighted average; low and high are the lowest and highest of those method values.

Sellers: the suggested asking price is the fair estimate plus 10%. Buyers: the walk-away ceiling is the fair estimate itself, with no premium — the most the economics support, not an offer.

The quality multiplier

Six factors, each scored 0–100. Raw metrics become scores by straight-line interpolation between two fixed anchors, clamped to 0–100; a factor with several metrics takes their weighted mean. A factor with nothing on file sits at a neutral 50. The weighted score maps onto a multiplier from 0.50× to 1.50×, where a neutral book is 1.00×. It touches AUM Percentage and Comparable Transactions only.

Recurring revenue mix

25%

Share of revenue from advisory fees vs. one-time commissions

  • Share of revenue that is recurring advisory fees: 60% → 0, 100% → 100

Organic growth

15%

Net new asset growth excluding market appreciation

  • Net new asset growth excluding market appreciation: -5% → 0, 10% → 100

Client retention

20%

Annual household retention rate

  • Annual household retention rate: 85% → 0, 100% → 100

Client demographics

15%

Blends average household age with the asset-weighted decumulator share

  • Average client age by household (lower scores higher): 70 → 0, 45 → 100
  • Share of AUM held by decumulating households (lower scores higher — asset-weighted view a single average cannot express): 85% → 0, 25% → 100

Concentration (inverted)

15%

Higher score = revenue spread across many households

  • Share of revenue from the top 10 households (lower scores higher): 50% → 0, 10% → 100

Advisor longevity / continuity

10%

Succession readiness first (successor, written plan, buy-sell, key-person risk), tenure second

  • Average advisor tenure / experience depth: 2 → 0, 20 → 100
  • A named internal successor (G2 advisor) is in place: false → 0, true → 100
  • A written, current succession plan exists: false → 0, true → 100
  • A funded buy-sell agreement is in force: false → 0, true → 100
  • Share of client relationships owned personally by the departing principal (lower scores higher — key-person risk): 95% → 0, 25% → 100
  • Years until the principal intends to retire (more runway scores higher): 0 → 0, 10 → 100

Data confidence

Data confidence is the weighted share of the input checklist that carries real data. Each missing field costs its weight and names the methods it drives and where it is typically found. A run is provisional when confidence is below 100%, when sources conflict, or when the DCF cannot run. A figure filled from a published median or an analyst assumption is recorded with its citation, and every method it drives is flagged as provisional.

InputDrivesWeight
Trailing 12-month revenueRevenue Multiple, Comparable Transactions3
EBITDAEBITDA Multiple3
Earnings before owner compensationEBOC Multiple2
Assets under managementAUM Percentage3
Client householdsClient Value2
Free cash flow (DCF base year)Discounted Cash Flow2
Expected annual growthDiscounted Cash Flow1
Value per client relationshipClient Value1
Recurring revenue mix score (0-100)Quality multiplier2
Organic growth score (0-100)Quality multiplier1
Client retention score (0-100)Quality multiplier2
Client demographics score (0-100)Quality multiplier1
Revenue concentration score (0-100, higher = well spread)Quality multiplier1
Advisor longevity / continuity score (0-100)Quality multiplier1

Benchmarks and versions

Transaction multiples

Sica Fletcher, RIA Valuation Multiples (SCF Index)

Sica Fletcher SCF Index (2024), verified Nov 2, 2026 · index version 2

TierRevenueEBITDAAUM %
small2.5–3.0×4.8–5.7×0.9–1.3%
mid2.8–3.4×5.7–6.8×1.4–1.7%
large3.2–4.0×7.0–8.1×1.9–2.3%

Within each tier, niche/specialist RIAs sit at the top of the range and retirement-plan advisors at the bottom.

Percentiles and medians

Firm size and client-mix percentiles: U.S. SEC, Investment Adviser Public Disclosure (IAPD) Form ADV compilation feed, 2026-08-12 feed.

Revenue per client, operating margin, productivity and attrition: InvestmentNews 2025 Advisor Benchmarking Study (Advisory Compensation & Staffing; Pricing & Profitability), InvestmentNews Research (KM Business Information US) — 2024 data, a self-reported survey rather than a census.

Evidence only, never in the valuation

  • Stated fees: Form ADV Part 2A brochure via advmcp.ai.
  • Form 5500 Schedule C: U.S. Department of Labor Form 5500 filings via 5500mcp.ai, refreshed 2026-09-02.
  • Form 13F holdings: 2026-06-30 reporting period, filings through 2026-08-31.

None of these changes the valuation, coverage or confidence.

Engine version 1.8.0. Every saved run records the engine version and the index version that produced it, so any run can be reproduced later.

A worked example

Karnell Wealth is a fictional practice. Every figure below is the engine's output for its inputs, with confidence weighting.

MethodFormula and inputsWeightValue
Revenue Multiple$2.37M × 2.75×92$6.51M
EBITDA Multiple$616K × 5.25×84$3.23M
EBOC Multiple$1.07M × 4.20×60$4.48M
Discounted Cash Flow5-yr FCF @ 5.2% growth, 14% discount, 3% terminal62$5.57M
Client Value168 clients × $39K58$6.51M
AUM Percentage$312.40M × 1.55% × 1.24× quality88$6.02M
Comparable Transactions$2.37M × 2.50× × 1.24× quality74$7.36M
Quality multiplier1.24×
Fair estimate$5.67M
Range (low–high)$3.23M–$7.36M
Suggested asking price (+10%)$6.23M
Walk-away ceiling, same practice on the buy lane$5.45M
Data confidence100%

Ask for the why

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ValuationMCP produces educational estimates, not appraisals, fairness opinions, or investment, legal or tax advice.