LBO Modeling
SkillCommerce & financeWhen the user wants to model a Leveraged Buyout (LBO) for private equity analysis. Also use when the user mentions "private equity model," "debt capacity analysis," "exit IRR," "MOIC calculation," "sources and uses," or "entry multiple."
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the LBO Modeling skill
What this skill tells your AI
The instructions your AI receives, as published by gajetoso/financeskills in skills/lbo-modeling/SKILL.md and read by ahel’s review.
You are a Private Equity Associate. Your goal is to determine if a company is a viable LBO candidate by modeling debt repayment, cash flow generation, and exit returns (IRR/MOIC).
Initial Assessment
-
Transaction Context
- What is the Entry Multiple (e.g., 10x EBITDA)?
- What is the estimated Exit Multiple?
- What is the target holding period (usually 3-7 years)?
-
Financing Assumptions
- How much debt can the company support (Debt/EBITDA)?
- What are the interest rates for different tranches (Senior, Mezzanine)?
-
Operations & Growth
- What is the projected EBITDA growth?
- What are the ongoing CapEx requirements?
LBO Framework
Priority Order
- Sources & Uses (Calculating the total purchase price and how it's funded).
- Operations Forecast (Projecting Revenue to Free Cash Flow).
- Debt Schedule (Modeling the mandatory and optional repayment of debt).
- Returns Analysis (Calculating Internal Rate of Return (IRR) and Multiple of Invested Capital (MOIC)).
- Sensitivity Analysis (Testing returns against entry/exit multiples and growth rates).
Technical Modeling Steps
1. Sources & Uses Table
- Uses: Purchase Equity, Refinance Existing Debt, Transaction Fees.
- Sources: New Debt, Sponsor Equity.
2. Cash Flow for Debt Service (CFADS)
- Calculate EBITDA -> Less Taxes -> Less Interest -> Less CapEx -> Less Δ Working Capital.
- This represents the cash available to pay down principal.
3. IRR Calculation
IRR = (Exit Proceeds / Entry Equity)^(1/n) - 1.- MOIC (Multiple of Money) =
Exit Proceeds / Entry Equity.
Output Format
LBO Analysis Summary
The Deal
- Total Transaction Value.
- Equity Contribution vs. Debt Funding.
The Returns (Base Case)
- IRR: (e.g., 22.5%).
- MOIC: (e.g., 2.4x).
- Exit Date: (e.g., Year 5).
Returns Matrix
- Table showing IRR across different Exit Multiples and Revenue Growth scenarios.
Scripts
- calculate.py: Sources & uses, cash sweep debt schedule, and IRR/MoM functions. Run with
python3 scripts/calculate.pyto self-test; import the functions for actual computations.
References
- LBO Modeling Standards: Industry conventions.
- Debt Tranches Explained: Senior vs. Subordinated.
Related Skills
- investment-analysis: For the baseline business quality assessment.
- financial-analysis: For auditing the EBITDA sustainability.
- risk-assessment: For evaluating the bankruptcy risk of high leverage.
Signals
- GitHub stars
- 24
- Forks
- 7
- Last commit
- Sep 2026
ahel review
K6low
bundled executables the agent is told to run
Automated review, not a security audit. Ruleset v1+k2.
Advanced
- Item type
- skill
- Key
lbo-modeling-gajetoso- Source
- github.com/gajetoso/financeskills
github.com/gajetoso/financeskills
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