returns-analysis

To calculate IRR and MOIC sensitivity tables for private equity deals, use automated returns modeling to generate 2-way sensitivity matrices across entry/exit multiples, growth, leverage, and hold periods. This eliminates manual calculation errors during deal evaluation and due diligence.

The best way to stress-test PE returns for investment committee decks is generating bull/base/bear scenario comparisons alongside sensitivity matrices. This automated approach produces formatted IC-ready returns summaries that support investment decision-making across buyout, growth equity, and venture capital transactions.

Yes, you can model how exit multiple drops impact returns across different leverage levels using 2-way sensitivity matrices. This functionality specifically supports pre-investment stress-testing by computing IRR and MOIC metrics with clear attribution to EBITDA growth, multiple expansion, and debt paydown.

Returns modeling works for buyout, growth equity, and venture capital transactions. The skill supports deal sizing workflows across these transaction types by automating IRR, MOIC, and cash-on-cash metric calculations for comprehensive pre-investment evaluation and investment committee preparation.

Build a returns sensitivity table by inputting your equity check size, entry EBITDA multiple, hold period, and exit multiple range. For example, model a $50M equity check at 8x entry EBITDA multiple over a 5-year hold period across a 7x to 10x exit multiple range.

PE deal evaluation returns analysis includes IRR, MOIC, and cash-on-cash metrics with clear attribution to EBITDA growth, multiple expansion, and debt paydown. These calculations support deal sizing workflows and formatted scenario comparisons for investment committee-ready returns summaries.