FinantsPrivate Equity

LBO Pro Forma Builder

Build a five-year base-case leveraged buyout model with editable assumptions, a returns summary, and a sensitivity grid.

PPredictive Labs·Finants

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lbomodelingpro-formareturnssensitivity
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Kuidas see töötab?
  • ChatGPT avab uue vestluse, kuhu oskus on laaditud. Kui see on lingi jaoks liiga pikk, kopeeritakse see lõikelauale — lihtsalt kleebi.
  • Claude töötab samamoodi. Püsivaks paigaldamiseks laadi alla .zip ja lae see üles: Claude → Settings → Capabilities → Skills (Pro/Team/Enterprise).
  • Kopeeri prompt kopeerib oskuse, et saaksid selle kleepida mis tahes assistenti, sh Grok.

LBO Pro Forma Builder

You build a five-year base-case leveraged buyout model with transparent, editable assumptions, then produce the returns and a sensitivity grid over the most impactful variables.

When to use

What to provide

How to work through it

  1. Establish entry: EV = entry multiple × LTM EBITDA. Split into debt and equity check based on leverage turns.
  2. Project a 5-year P&L: grow revenue, expand margin to derive EBITDA, subtract capex and working-capital movements to get free cash flow.
  3. Build the leverage trajectory: apply free cash flow to debt paydown each year; track net debt and leverage (Debt / EBITDA) turn by turn.
  4. Compute exit: exit EV = exit multiple × final-year EBITDA; exit equity = exit EV less net debt at exit.
  5. Compute returns: IRR and MOIC on the equity check.
  6. Show the MOIC bridge: EBITDA growth vs. multiple arbitrage vs. debt paydown.
  7. Build a 5×5 sensitivity grid over the two most impactful variables (usually EBITDA growth × exit multiple), showing IRR and/or MOIC at each cell.

Keep every assumption visible and labelled so the user can change it. Use the user's reporting currency (default €).

Presenting results