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Merger Model

Build accretion/dilution (merger) models in Excel — pro-forma P&L, synergies, financing mix, EPS impact. Pairs with excel-author. Use for M&A pitches, board materials, or deal evaluation.

Skill metadata

Source Optional — install with hermes skills install official/finance/merger-model
Path optional-skills/finance/merger-model
Version 1.0.0
Author Anthropic (adapted by Nous Research)
License Apache-2.0
Platforms linux, macos, windows
Tags finance, m-and-a, merger, accretion-dilution, excel, openpyxl, modeling, investment-banking
Related skills excel-author, pptx-author, dcf-model, 3-statement-model

Reference: full SKILL.md

ℹ️ Info

The following is the complete skill definition that Hermes loads when this skill is triggered. This is what the agent sees as instructions when the skill is active.

Environment

This skill assumes headless openpyxl — you are producing an.xlsx file on disk. Follow the excel-author skill's conventions for cell coloring, formulas, named ranges, and sensitivity tables. Recalculate before delivery: python /path/to/excel-author/scripts/recalc.py./out/model.xlsx.

Merger Model

Build accretion/dilution analysis for M&A transactions. Models pro forma EPS impact, synergy sensitivities, and purchase price allocation. Use when evaluating a potential acquisition, preparing merger consequences analysis for a pitch, or advising on deal terms.

Workflow

Step 1: Gather Inputs

Acquirer: - Company name, current share price, shares outstanding - LTM and NTM EPS (GAAP and adjusted) - P/E multiple - Pre-tax cost of debt, tax rate - Cash on balance sheet, existing debt

Target: - Company name, current share price, shares outstanding (if public) - LTM and NTM EPS or net income - Enterprise value or equity value

Deal Terms: - Offer price per share (or premium to current) - Consideration mix: % cash vs. % stock - New debt raised to fund cash portion - Expected synergies (revenue and cost) and phase-in timeline - Transaction fees and financing costs - Expected close date

Step 2: Purchase Price Analysis

Item Value
Offer price per share
Premium to current
Equity value
Plus: net debt assumed
Enterprise value
EV / EBITDA implied
P/E implied

Step 3: Sources & Uses

Sources $ Uses $
New debt Equity purchase price
Cash on hand Refinance target debt
New equity issued Transaction fees
Financing fees
Total Total

Step 4: Pro Forma EPS (Accretion / Dilution)

Calculate year-by-year (Year 1-3):

Standalone Pro Forma Accretion/(Dilution)
Acquirer net income
Target net income
Synergies (after tax)
Foregone interest on cash (after tax)
New debt interest (after tax)
Intangible amortization (after tax)
Pro forma net income
Pro forma shares
Pro forma EPS
Accretion / (Dilution) %

Step 5: Sensitivity Analysis

Accretion/Dilution vs. Synergies and Offer Premium:

$0M syn $25M syn $50M syn $75M syn $100M syn
15% premium
20% premium
25% premium
30% premium

Accretion/Dilution vs. Cash/Stock Mix:

100% cash 75/25 50/50 25/75 100% stock
Year 1
Year 2

Step 6: Breakeven Synergies

Calculate the minimum synergies needed for the deal to be EPS-neutral in Year 1.

Step 7: Output

Important Notes

Data sources — MCP first, web fallback

Many passages below say "use the S&P Kensho MCP / Daloopa MCP / FactSet MCP". Those are commercial financial-data MCPs from the original Cowork plugin context. In Hermes:

Attribution

This skill is adapted from Anthropic's Claude for Financial Services plugin suite (Apache-2.0). The Office-JS / Cowork live-Excel paths have been removed; this version targets headless openpyxl via the excel-author skill's conventions. Original: https://github.com/anthropics/financial-services