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. Triggers on "merger model", "accretion dilution", "M&A model", "pro forma EPS", "merger consequences", or "deal impact analysis".
Copy the install command and let the AI configure it · recommended for beginners
Please install the "merger-model" skill from askskill: 1. Download https://raw.githubusercontent.com/anthropics/financial-services/main/plugins/vertical-plugins/investment-banking/skills/merger-model/SKILL.md 2. Save it as ~/.claude/skills/merger-model/SKILL.md 3. Reload skills and tell me it's ready
Acquirer:
Target:
Deal Terms:
| Item | Value |
|---|---|
| Offer price per share | |
| Premium to current | |
| Equity value | |
| Plus: net debt assumed | |
| Enterprise value | |
| EV / EBITDA implied | |
| P/E implied |
| Sources | $ | Uses | $ |
|---|---|---|---|
| New debt | Equity purchase price | ||
| Cash on hand | Refinance target debt | ||
| New equity issued | Transaction fees | ||
| Financing fees | |||
| Total | Total |
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) % |
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 |
Calculate the minimum synergies needed for the deal to be EPS-neutral in Year 1.
Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage. Fast-turnaround format focusing on beat/miss analysis, key metrics, updated estimates, and revised thesis. Includes 1-3 summary tables and 8-12 charts. Use when user requests "earnings update", "quarterly update", "earnings analysis", "Q1/Q2/Q3/Q4 results", or post-earnings report.
Build pre-earnings analysis with estimate models, scenario frameworks, and key metrics to watch. Use before a company reports quarterly earnings to prepare positioning notes, set up bull/bear scenarios, and identify what will move the stock. Triggers on "earnings preview", "what to watch for [company] earnings", "pre-earnings", "earnings setup", or "preview Q[X] for [company]".
Root-cause a reconciliation break to its source transaction or posting — follow the audit trail from the break row back to the originating entry on each side and state what differs and why. Use after gl-recon has classified a break.
Audit a spreadsheet for formula accuracy, errors, and common mistakes. Scopes to a selected range, a single sheet, or the entire model (including financial-model integrity checks like BS balance, cash tie-out, and logic sanity). Triggers on "audit this sheet", "check my formulas", "find formula errors", "QA this spreadsheet", "sanity check this", "debug model", "model check", "model won't balance", "something's off in my model", "model review".
Build institutional-grade comparable company analyses with operating metrics, valuation multiples, and statistical benchmarking in Excel/spreadsheet format. **Perfect for:** - Public company valuation (M&A, investment analysis) - Benchmarking performance vs. industry peers - Pricing IPOs or funding rounds - Identifying valuation outliers (over/under-valued) - Supporting investment committee presentations - Creating sector overview reports **Not ideal for:** - Private companies without comparable public peers - Highly diversified conglomerates - Distressed/bankrupt companies - Pre-revenue startups - Companies with unique business models
Prepare for due diligence meetings — management presentations, expert network calls, customer references, and advisor sessions. Generates targeted question lists, benchmarks to reference, and red flags to probe. Use before any diligence meeting or call. Triggers on "prep for management meeting", "diligence call prep", "expert call questions", "customer reference questions", or "meeting prep for [company]".