building-lbo-models

Constructs leveraged buyout models with debt capacity, returns analysis, and exit scenarios. Use when modeling LBOs, calculating sponsor returns, or analyzing leveraged transactions.

11 stars

Best use case

building-lbo-models is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Constructs leveraged buyout models with debt capacity, returns analysis, and exit scenarios. Use when modeling LBOs, calculating sponsor returns, or analyzing leveraged transactions.

Teams using building-lbo-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

$curl -o ~/.claude/skills/building-lbo-models/SKILL.md --create-dirs "https://raw.githubusercontent.com/CaseMark/skills/main/skills/finance/building-lbo-models/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/building-lbo-models/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How building-lbo-models Compares

Feature / Agentbuilding-lbo-modelsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Constructs leveraged buyout models with debt capacity, returns analysis, and exit scenarios. Use when modeling LBOs, calculating sponsor returns, or analyzing leveraged transactions.

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 LBO Models

## When To Use

- Modeling a financial sponsor's acquisition of a target company using significant debt financing
- Evaluating debt capacity, optimal capital structure, and leverage multiples for a buyout
- Calculating sponsor IRR and MOIC under base, upside, and downside scenarios
- Stress-testing exit assumptions (timing, multiple, and method) to assess risk-adjusted returns
- Comparing LBO returns across multiple potential acquisition targets or bid levels

## Inputs To Gather

- **Target financials**: Historical income statement (3–5 years), balance sheet, and cash flow statement; latest available LTM figures
- **Transaction assumptions**: Purchase price or entry EV/EBITDA multiple, transaction fees (advisory, financing, legal — typically 2–4% of TEV), minimum cash balance
- **Debt structure**: Tranches (revolver, Term Loan A/B, senior notes, subordinated/mezzanine, seller note), interest rates (fixed vs. floating + spread), amortization schedules, mandatory vs. optional prepayment terms, commitment fees
- **Operating projections**: Revenue growth rates, EBITDA margin trajectory, capex (maintenance vs. growth), working capital assumptions (days sales outstanding, days payable outstanding, days inventory outstanding)
- **Exit assumptions**: Holding period (typically 3–7 years), exit EV/EBITDA multiple, potential dividend recaps or partial exits
- **Sponsor parameters**: Target equity check size, fund return hurdles (e.g., 20%+ IRR, 2.5x+ MOIC), management rollover percentage

## Workflow

1. **Build the Sources & Uses table**
   - Sources: equity contribution, each debt tranche, any rollover equity or seller financing
   - Uses: equity purchase price, transaction fees, debt issuance costs, refinanced existing debt
   - Verify sources = uses; if they don't balance, recheck assumptions before proceeding

2. **Construct the operating model**
   - Project revenue, EBITDA, EBIT, and unlevered free cash flow over the hold period
   - Model working capital changes using historical days metrics, not flat percentages
   - Separate maintenance capex (tied to D&A) from growth capex (tied to revenue expansion)
   - Calculate tax using effective rate; flag any NOL carryforwards or tax shield assumptions [VERIFY]

3. **Build the debt schedule**
   - For each tranche: beginning balance → mandatory amortization → cash sweep (if applicable) → optional prepayment → ending balance
   - Calculate interest expense per tranche (apply SOFR + spread for floating-rate debt [VERIFY current benchmark rate])
   - Model revolver draws/repayments based on cash flow shortfalls; track commitment fees on undrawn amounts
   - Enforce leverage covenant tests (e.g., Total Debt / EBITDA ≤ 6.0x) and flag covenant breaches

4. **Calculate returns at exit**
   - Apply exit multiple to projected EBITDA at each potential exit year
   - Subtract net debt at exit to derive equity value to sponsor
   - Compute IRR and MOIC on total invested equity (including any add-on investments)
   - Model dividend recaps separately if applicable — show returns with and without recap

5. **Run sensitivity and scenario analysis**
   - Build two-way data tables: entry multiple vs. exit multiple, EBITDA growth vs. leverage
   - Stress-test downside: revenue decline of 10–20%, margin compression of 100–300 bps, one-year exit delay
   - Test debt paydown scenarios: aggressive vs. minimum mandatory amortization
   - Identify the breakeven entry multiple at which the sponsor achieves its minimum return hurdle

6. **Assess credit metrics and debt capacity**
   - Track Total Debt / EBITDA, Senior Debt / EBITDA, Interest Coverage (EBITDA / Interest), and Fixed Charge Coverage through each projection year
   - Compare against typical market thresholds (e.g., senior leverage ≤ 4.0x, total leverage ≤ 6.0x [VERIFY against current credit market conditions])
   - Confirm the business generates sufficient FCF for mandatory debt service in all scenarios

## Output

- **Sources & Uses summary** with clearly labeled equity and debt components
- **5-year operating projection** with revenue, EBITDA, unlevered FCF, and key margins
- **Debt schedule** showing balance, interest, and amortization for each tranche by year
- **Returns matrix**: IRR and MOIC at various exit multiples and exit years
- **Sensitivity tables**: Entry price vs. returns, EBITDA growth vs. leverage, exit timing vs. returns
- **Credit metrics dashboard**: Leverage ratios, coverage ratios, and covenant compliance by year
- **Key assumptions page** listing every material input with source or [VERIFY] flag

## Quality Checks

- Sources & Uses must balance to zero — no rounding gaps
- Ending cash balance never goes negative in any scenario; if it does, the revolver must draw or the model is broken
- Debt balances decline monotonically unless add-on acquisitions are modeled
- IRR and MOIC are internally consistent (a 2.0x MOIC over 5 years ≈ 15% IRR)
- Exit equity value must equal entry equity plus cumulative FCF to equity minus distributions (cash flow identity check)
- Interest expense ties exactly to average debt balances and stated rates — no hardcoded interest figures
- Circular reference handling: if using iterative calculations for cash sweeps, document the approach and confirm convergence
- All market-dependent assumptions (multiples, rates, leverage thresholds) are tagged [VERIFY] with date of last validation

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