--- name: merger-model description: 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. version: 1.0.0 author: Anthropic (adapted by Nous Research) license: Apache-2.0 metadata: hermes: tags: [finance, m-and-a, merger, accretion-dilution, excel, openpyxl, modeling, investment-banking] related_skills: [excel-author, pptx-author, dcf-model, 3-statement-model] --- ## 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 - Excel workbook with: - Assumptions tab - Sources & uses - Pro forma income statement - Accretion/dilution summary - Sensitivity tables - Breakeven analysis - One-page merger consequences summary for pitch book ## Important Notes - Always show both GAAP and adjusted (cash) EPS where relevant - Stock deals: use acquirer's current price for exchange ratio, note dilution from new shares - Include purchase price allocation — goodwill and intangible amortization matter for GAAP EPS - Synergy phase-in is critical — Year 1 is often only 25-50% of run-rate synergies - Don't forget foregone interest income on cash used and new interest expense on debt raised - Tax rate on synergies and interest adjustments should match the acquirer's marginal rate ## 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: - **If you have any structured financial-data MCP configured** (Hermes supports MCP — see `native-mcp` skill), prefer it for point-in-time comps, precedent transactions, and filings. - **Otherwise**, fall back to: - `web_search` / `web_extract` against SEC EDGAR (`https://www.sec.gov/cgi-bin/browse-edgar`) for US filings - Company IR pages for press releases, earnings decks - `browser_navigate` for interactive data portals - User-provided data (explicitly ask when the context doesn't have it) - **Never fabricate**. If a multiple, precedent, or filing number can't be sourced, flag the cell as `[UNSOURCED]` and surface it to the user. ## 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