> ## Documentation Index
> Fetch the complete documentation index at: https://docs.getvirtualbrain.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Valuation: Comparable Transactions

> Build a comparables-based valuation from the target's financials and transaction data, ending in an executive-ready report with a recommended enterprise value range

**Goal:** go from a target's financial statements to an executive-ready comparable transactions valuation, with a recommended enterprise value range and the reasoning behind it.

<Frame>
  <iframe style={{ width: '100%', aspectRatio: '16/9' }} src="https://www.youtube.com/embed/Ny9g1Ib_N04" title="Valuation Comps Analysis: workflow walkthrough" frameBorder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowFullScreen />
</Frame>

## Setup

Load a [Brain](/features/brains/creating-brains) with whatever deal documentation you have:

* **Financial statements** for the target: the minimum viable input. The App runs with only these.
* **Comparable transaction extracts** from private databases, if you have access. The walkthrough adds a transaction list exported from one.

In the demo, the target is a fragrance company with financial statements and a private-database transaction list loaded. Select the documents, save the selection, and run the App.

<Note>
  No private database access? The App's deep web research blocks screen for comparable transactions from publicly available information, so you still get a usable comp set.
</Note>

## How it works

The App runs as a sequence of blocks, each building on the last:

<Steps>
  <Step title="Build the target profile">
    The App extracts key information from your documents to give every later step business context.
  </Step>

  <Step title="Extract the financials">
    The next block pulls all financial data from the target's documents: income statement, balance sheet, and supporting tables. This is the foundation of the valuation.
  </Step>

  <Step title="Analyze comparable transactions">
    The App reviews the transactions consolidated from your private-database extracts and structures them for you.
  </Step>

  <Step title="Screen for external transactions">
    Additional deep web research finds comparable transactions beyond your documents, combining paid-database data with public information.
  </Step>

  <Step title="Analyze the deal context">
    A later block combines internal documentation and external research to consolidate the remaining transaction elements.
  </Step>

  <Step title="Generate the final report">
    The final block compiles every prior step into a comprehensive valuation report.
  </Step>
</Steps>

## What you get

An executive-ready summary delivering a **recommended enterprise value range**, grounded in three pillars: the target's business model, its financial fundamentals, and the comparable transactions. Each section includes the detailed reasoning supporting the final investment recommendation; nothing arrives as an unexplained number.

You can also customize the output format (more visual or more tabular) to match how your team consumes valuation work.

## Pro tips

* **Verify the comp set before the number.** The EV range is only as defensible as the transactions behind it. Review the comparable list and its sources before presenting; every data point traces back to a document or a web source.
* **Richer inputs, tighter range.** Financial statements alone work, but adding private-database extracts gives the App a verified comp set to anchor on instead of relying solely on web screening.
* **Pair with a DCF.** Triangulate the comps-based range against the [DCF valuation App](/use-cases/due-diligence-transactions/valuation-dcf) on the same Brain.

## Related

<CardGroup cols={2}>
  <Card title="Valuation: DCF" icon="chart-line" href="/use-cases/due-diligence-transactions/valuation-dcf">
    Cross-check the range with an intrinsic valuation
  </Card>

  <Card title="Data Room Gap Analysis" icon="folder-magnifying-glass" href="/use-cases/due-diligence-transactions/data-room-gap-analysis">
    Confirm the data room supports the analysis first
  </Card>

  <Card title="App Blocks" icon="cubes" href="/features/apps/app-blocks">
    How sequential blocks chain context from step to step
  </Card>

  <Card title="Refining and Exporting" icon="file-export" href="/features/chats/refining-and-exporting">
    Turn the report into a client-ready deliverable
  </Card>
</CardGroup>
