What Is the Market Approach to Valuation?
The market approach estimates value by examining actual prices paid for comparable companies or assets, then adjusting for meaningful differences. Put simply, we let real transactions set the anchor and refine from there.
When the data is plentiful and trustworthy, this is often the most persuasive and dependable way to reach a conclusion of value.
In business appraisal engagements, the market approach is frequently paired with the asset approach or the income approach to strengthen and cross-check results.
This page focuses on how the market approach is applied in business valuation.
When is it Used?
The market approach works especially well for small and mid-sized companies when there’s a healthy supply of relevant transactions. Think active local or industry markets with enough detail to make apples-to-apples comparisons.
It’s widely used in M&A, business sales, investment decisions, and valuations prepared for tax, financial reporting, or litigation.
The method applies to both profitable and unprofitable firms. Startups, however, often lack meaningful comps and typically require different techniques.

How to Apply This Approach
Here’s the high-level workflow:
- Confirm there is enough comparable sales data to support a conclusion.
- Vet the data for completeness, consistency, and credibility.
- Identify and remove outliers that distort the analysis.
- Benchmark against recent transactions for genuinely similar businesses.
- Where appropriate, triangulate with the asset and/or income approaches to validate results.
1. Is There Enough Comparable Data?
Start by verifying that you have adequate, relevant comparables. Thin or outdated data sets lead to weak conclusions. If comps are scarce, consider emphasizing other approaches.
2. Verify Data Quality
Next, validate the numbers. Typical fields include revenue, EBITDA, margins, deal structure, and working-capital terms. Determine whether EBITDA is adjusted (or SDE for very small firms), and whether the financials are audited, reviewed, or internal.
Because many data sets originate with brokers, quality can vary widely. Confirm the time period, ensure definitions match across sources, and watch for incomplete disclosures.
If the inputs can’t be trusted, the comparisons can’t be either.
3. Remove Outliers and Anomalies
Strip out statistical outliers: transactions with unusual terms or exceptional performance that would skew multiples. Representative data produces reliable ranges.
4. Benchmark Against Recent Sale Prices
With a cleaned data set, compare your subject company to truly similar deals closed recently. Apply appropriate valuation multiples, often price-to-earnings, EV/EBITDA, or price-to-revenue—mindful of differences in growth, risk, and deal structure (cash vs. earn-outs, seller notes, etc.).
Thoughtful adjustments for size, customer concentration, location, and management depth help refine the indicated range.
5. Combine With Other Approaches
If market data is limited, or if the subject has unique characteristics, supplement the market approach with the income and/or asset approaches to produce a balanced, defensible opinion.
In theory the market approach is straightforward; in practice it demands care. Be critical of data sources and consistent in how you apply adjustments if you want reliable conclusions.
Market Approach, Illustrated
Below is a simplified example showing how the market approach can inform price in a business valuation. It’s intentionally streamlined for clarity.
Scenario:
You’re evaluating a small coffee shop in San Francisco, California. The asking price is $295,000. The shop sits on a busy downtown corridor but needs upgrades. There’s minimal online presence, though foot traffic from nearby offices keeps volume steady.
You suspect the price is rich. You gather recent sale data for similar shops in the area, all within the last year.
Comparable sales data:
| Transaction | Sale Price | Revenue | EBITDA | Location Quality | Online Presence | Customer Base | Condition |
| Shop 1 | $385,000 | $210,000 | $44,000 | Prime | Robust | Office-heavy | Renovated |
| Shop 2 | $255,000 | $155,000 | $30,000 | Good | Limited | Neighborhood | Needs cosmetic |
| Shop 3 | $295,000 | $175,000 | $33,000 | Transit-adjacent | Growing | Tourist mix | Average |
| Shop 4 | $325,000 | $195,000 | $41,000 | Prime | Strong | Commuter | Very good |
| Shop 5 | $235,000 | $145,000 | $28,000 | Fair | Moderate | Local regulars | Older equipment |
From these data points, you compute price-to-EBITDA multiples to gauge a reasonable range for your target.
Here are the multiples:
| Transaction | Sale Price | EBITDA | Price/EBITDA Multiple |
| Shop 1 | $385,000 | $44,000 | 8.8x |
| Shop 2 | $255,000 | $30,000 | 8.5x |
| Shop 3 | $295,000 | $33,000 | 8.9x |
| Shop 4 | $325,000 | $41,000 | 7.9x |
| Shop 5 | $235,000 | $28,000 | 8.4x |
The average multiple is about 8.4x. If the shop you’re eyeing generates $32,000 of EBITDA, a fair value indication would be:
$32,000 (EBITDA) × 8.4 ≈ $269,000
On that basis, the $295,000 ask looks above market.
You highlight the weaker points versus the comps and offer $265,000. After negotiation, the seller agrees to $270,000.
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