---
name: precedent-transaction-analyzer-eb6353e18a1e
description: M&A precedent transaction analysis skill with deal sourcing and premium analysis
allowed-tools:
  - Read
  - Write
  - Glob
  - Grep
  - Bash
metadata:
  specialization: finance-accounting
  domain: business
  category: investment-analysis
  priority: lower
graph:
  domains: [domain:finance]
  specializations: [specialization:corporate-finance]
  skillAreas: [skill-area:financial-modeling, skill-area:budgeting-forecasting, skill-area:investment-analysis, skill-area:valuation-analysis]
  workflows: [workflow:financial-planning, workflow:budget-planning]
  roles: [role:financial-analyst]
---

# Precedent Transaction Analyzer

## Overview

The Precedent Transaction Analyzer skill provides comprehensive M&A transaction analysis capabilities. It enables deal sourcing, multiple extraction, and premium analysis to support valuation and negotiation in M&A contexts.

## Capabilities

### Transaction Database Search
- Deal database querying
- Industry filtering
- Date range selection
- Deal size parameters
- Transaction type filtering
- Geographic focus

### Deal Multiple Extraction
- Enterprise value calculation
- LTM multiple computation
- NTM multiple extraction
- Revenue multiple analysis
- EBITDA multiple calculation
- Transaction-specific metrics

### Control Premium Analysis
- Unaffected price determination
- Premium calculation methodology
- Time period selection
- Volume-weighted analysis
- 52-week high comparison
- Offer price evolution

### Synergy Consideration
- Announced synergy extraction
- Synergy multiple calculation
- Synergy-adjusted analysis
- Integration cost consideration
- Revenue synergy treatment
- Run-rate normalization

### Deal Structure Comparison
- Cash vs. stock consideration
- Collar mechanisms
- Earnout structures
- CVR analysis
- Break fee comparison
- Deal protection mechanisms

### Timeline and Sector Filtering
- Transaction timing
- Economic cycle consideration
- Sector-specific analysis
- Cross-border filtering
- Strategic vs. financial buyers
- Public vs. private targets

## Usage

### Precedent Analysis
```
Input: Target profile, transaction criteria, date range
Process: Search deals, extract multiples, calculate premiums
Output: Transaction analysis, comparable deals, valuation range
```

### Deal Benchmarking
```
Input: Proposed transaction terms, comparable deals
Process: Compare terms, analyze premiums, assess structure
Output: Deal benchmark analysis, negotiation points, market positioning
```

## Integration

### Used By Processes
- M&A Financial Due Diligence
- Comparable Company Analysis
- Capital Investment Appraisal

### Tools and Libraries
- M&A databases (Refinitiv)
- PitchBook
- Deal comps tools
- Press release parsing

## Best Practices

1. Use transactions from relevant time period
2. Adjust for market condition differences
3. Consider strategic rationale similarity
4. Account for synergy expectations
5. Document deal-specific circumstances
6. Cross-reference with trading analysis


---
Source attribution: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Data & Analytics, Finance & Accounting, Sales
Roles: Accountant, Business Development, CFO / FP&A, Financial Analyst, Market Research Analyst
Specialties: Specialty not specified
Tools: Pitchbook, Deal Comps Tools, M&A Databases (Refinitiv)
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: fcbce2bdcaa2b529ba3d96b922a941a3d0c34e0e59bded25d0405b3733455c66