building-leveraged-buyout-models
Constructs LBO models with sources/uses, debt schedules, operating projections, and returns analysis across entry/exit scenarios. Use when modeling leveraged buyouts, calculating sponsor returns, or analyzing leverage capacity.
Best use case
building-leveraged-buyout-models is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Constructs LBO models with sources/uses, debt schedules, operating projections, and returns analysis across entry/exit scenarios. Use when modeling leveraged buyouts, calculating sponsor returns, or analyzing leverage capacity.
Teams using building-leveraged-buyout-models should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/building-leveraged-buyout-models/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How building-leveraged-buyout-models Compares
| Feature / Agent | building-leveraged-buyout-models | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Constructs LBO models with sources/uses, debt schedules, operating projections, and returns analysis across entry/exit scenarios. Use when modeling leveraged buyouts, calculating sponsor returns, or analyzing leverage capacity.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Building Leveraged Buyout Models ## When To Use - Modeling a sponsor-backed acquisition to evaluate feasibility and returns - Sizing debt capacity and structuring capital across tranches (senior, sub, mezzanine) - Stress-testing leverage and coverage ratios under downside scenarios - Comparing entry/exit multiple assumptions to derive IRR and MOIC targets - Evaluating management rollover, co-invest, or earnout structures alongside sponsor equity ## Inputs To Gather - **Target financials**: Last 3 years of revenue, EBITDA, capex, working capital; current-year budget or LTM figures - **Transaction terms**: Purchase price or EV/EBITDA entry multiple, transaction fees (advisory, financing, legal), minimum cash on balance sheet - **Debt terms**: Tranche sizes (revolver, Term Loan A/B, senior notes, mezzanine), interest rates (fixed vs. floating + spread), amortization schedules, mandatory prepayment sweep percentages, commitment fees - **Operating projections**: Revenue growth rates, margin assumptions, capex as % of revenue, working capital days (DSO, DIO, DPO), tax rate [VERIFY jurisdiction-specific rates] - **Exit assumptions**: Holding period (typically 3–7 years), exit multiple range, expected dividend recaps if applicable - **Equity structure**: Sponsor equity contribution, management rollover %, option pool or incentive equity allocation ## Workflow 1. **Build sources & uses table** - Uses: enterprise value, refinanced debt, transaction fees (banker, legal, financing), cash to balance sheet - Sources: each debt tranche sized to leverage multiple (e.g., Senior at 4.0x EBITDA, Sub at 1.5x), sponsor equity as residual plug - Cross-check total sources = total uses 2. **Construct the debt schedule** - For each tranche: opening balance, mandatory amortization, optional prepayments (from excess cash flow sweep), closing balance - Calculate interest expense per tranche per period (handle PIK vs. cash-pay separately) - Model revolver draws/paydowns based on minimum cash balance constraint - Track total leverage (Total Debt / EBITDA) and senior leverage through the hold 3. **Build operating model projections** - Project revenue, EBITDA, and EBIT from base-case growth and margin assumptions - Derive unlevered free cash flow: EBITDA − taxes on EBIT − capex − change in net working capital - Apply mandatory debt service and sweep mechanics to determine cash available for optional prepayment - Confirm debt service coverage ratio (DSCR) exceeds covenant minimums each period [VERIFY lender covenant thresholds] 4. **Calculate returns at exit** - Apply exit multiple to projected EBITDA at end of hold period - Subtract net debt at exit to derive equity value to sponsors - Compute gross IRR and MOIC on sponsor equity (include any interim dividends or recap proceeds) - Back into implied entry vs. exit multiple arbitrage contribution to returns 5. **Run sensitivity and scenario analysis** - Two-way sensitivity tables: entry multiple vs. exit multiple, revenue growth vs. margin, leverage vs. exit multiple - Downside case: revenue miss of 10–20%, margin compression of 100–200 bps, no multiple expansion — confirm no covenant breach and positive equity value - Upside case: outperformance + earlier exit or dividend recap — show max returns - Flag any scenario where leverage ratio exceeds typical market thresholds (>6.0x total for middle-market, >7.0x for large-cap) [VERIFY current market leverage norms] 6. **Document the model package** - Assumption summary page: entry multiple, leverage, growth, margins, exit multiple - Key outputs page: IRR/MOIC at base/down/up, credit statistics through the hold, FCF conversion - Clearly label cells as input (blue font), formula (black), or linked (green) per modeling convention ## Output - **Sources & Uses table** with complete reconciliation - **Debt schedule** showing each tranche's balance, interest, amortization, and covenants through the hold - **Operating projections** (income statement through unlevered FCF) for the hold period - **Returns summary**: IRR, MOIC, and cash-on-cash at base, upside, and downside - **Sensitivity tables**: two-way grids on key return drivers - **Credit statistics**: leverage ratios, coverage ratios, and FCF yield by year ## Quality Checks - Sources exactly equal uses — no unresolved plugs - Debt balances never go negative; revolver does not exceed commitment size - Balance sheet balances in every period (if full three-statement model) - IRR and MOIC are internally consistent (cross-check IRR via XIRR against discrete cash flows) - DSCR and leverage ratios are within stated covenant limits in the base case - Circular references from cash sweep → interest → net income → cash sweep are resolved with an iteration toggle or copy-paste macro - All hard-coded assumptions are isolated on a single inputs tab, not buried in formulas - Tax rate, amortization of financing fees, and D&A treatment are consistent with target jurisdiction [VERIFY]