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    Lbo Finance Model

    by Edric Vale

    1

    Use to build a leveraged buyout model in Excel: sources and uses, debt schedules, cash sweeps, exit multiple math, IRR/MoM and sensitivity tables. Walks entry t

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    You say

    Build an LBO model for a company with 100M EBITDA, 10x entry multiple, 150M existing debt, and 5% management rollover. Include a 5-year forecast and sensitivity table for IRR.

    Your agent does

    Model structure generated.

    • Sources & Uses: Balanced at 1,020M (Equity: 420M, Debt: 600M).
    • Debt: TLA (5-year amort), TLB (bullet), Senior Notes.
    • Returns: IRR 18.4%, MoM 2.3x.
    • Sensitivity: Data table mapping 8x-12x entry/exit multiples created. Check 'Error Cell' for balance verification.

    What you get

    Generate Sources and Uses tables that always balanceCalculate IRR and MoM returns based on 5-year operating forecastsBuild debt schedules with Revolver, TLA, and TLB cash sweepsCreate sensitivity tables for entry/exit multiple impact on returns

    About this skill

    The problem

    Building an LBO model from scratch is prone to manual errors in debt scheduling and circular references. Financial analysts often struggle to keep Sources and Uses in balance while maintaining clean cash sweeps across multiple debt tranches.

    What it does

    • Generates structured Sources and Uses tables with built-in error checking for balance.
    • Constructs detailed debt schedules including Revolvers, Term Loan A/B, and Senior Notes.
    • Calculates annual operating cash flows, mandatory amortization, and optional cash sweeps.
    • Computes exit valuation, Net Debt, IRR, and MoM return metrics.
    • Creates sensitivity data tables to stress test IRR against varying entry and exit multiples.

    Frameworks & tools

    Microsoft Excel, Google Sheets.

    Why this beats prompting it yourself

    Generic prompts often skip critical accounting nuances like management rollover, transaction fees, or proper cash sweep logic. This skill follows a rigorous private equity workflow that ensures your debt balances and return schedules remain logically sound and ready for deal screening.

    Use cases

    • Preparing a private equity case study under time constraints.
    • Screening a potential buyout target to determine the maximum entry price.
    • Modeling debt capacity and repayment profiles for a leveraged transaction.

    Known limitations

    Does not handle complex distressed restructuring waterfalls or consolidated accounting for subsidiaries. Public trading comparables must be calculated separately.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Recently published to Agensi

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    Frequently Asked Questions

    Popular in Finance, Legal & Accounting