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Returns Analysis

  • 1 installs
  • 34k repo stars
  • Updated August 4, 2026
  • anthropics/financial-services

Returns-analysis is a Claude skill that builds IRR/MOIC sensitivity and scenario tables for evaluating private equity deals.

About

Returns-analysis builds IRR and MOIC sensitivity tables for evaluating private equity deals. It takes entry, financing, operating, and exit assumptions, computes base-case returns with an attribution waterfall, and produces two-way sensitivity and scenario tables. An investor uses it when sizing up a deal, stress-testing assumptions, or preparing investment-committee returns exhibits.

  • Builds IRR/MOIC sensitivity tables for PE deal evaluation
  • Models returns across entry, leverage, exit, growth, and hold scenarios
  • Outputs an Excel workbook and one-page IC returns summary

Returns Analysis by the numbers

  • 1 all-time installs (skills.sh)
  • Ranked #909 of 1,106 Finance & Trading skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

returns-analysis capabilities & compatibility

Capabilities
swap curve strategy · sector overview · portfolio monitoring
Works with
excel
Use cases
data analysis
From the docs

What returns-analysis says it does

Build quick IRR/MOIC sensitivity tables for PE deal evaluation.
SKILL.md
**MOIC** = Exit Equity Value / Equity Invested
SKILL.md
Don't forget transaction costs (typically 2-4% of EV)
SKILL.md
npx skills add https://github.com/anthropics/financial-services --skill returns-analysis

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Listed on Skillselion
Installs1
repo stars34k
Last updatedAugust 4, 2026
Repositoryanthropics/financial-services

What it does

Build IRR/MOIC sensitivity and scenario tables to evaluate and stress-test a private equity deal.

Who is it for?

PE deal teams sizing up returns and preparing IC returns exhibits

Skip if: Public market portfolio rebalancing or trading

When should I use this skill?

Sizing up a deal, stress-testing assumptions, or preparing IC returns exhibits

What you get

An Excel workbook with sensitivity tables plus a one-page IC returns summary

  • Excel workbook (assumptions, returns, sensitivities, scenarios)
  • one-page IC returns summary

By the numbers

  • 5-step workflow
  • 3-scenario Bull/Base/Bear analysis
  • returns attribution across growth/multiple/leverage

Files

SKILL.mdMarkdownGitHub ↗

Returns Analysis

Workflow

Step 1: Gather Deal Inputs

Ask for (or extract from prior analysis):

Entry:

  • Entry EBITDA (LTM or NTM)
  • Entry multiple (EV / EBITDA)
  • Enterprise value
  • Net debt at close
  • Equity check size
  • Transaction fees & expenses

Financing:

  • Senior debt (x EBITDA, rate, amortization)
  • Subordinated debt / mezzanine (if any)
  • Total leverage at entry (x EBITDA)
  • Equity contribution

Operating Assumptions:

  • Revenue growth rate (annual)
  • EBITDA margin trajectory
  • Capex as % of revenue
  • Working capital changes
  • Debt paydown schedule

Exit:

  • Hold period (years)
  • Exit multiple (EV / EBITDA)
  • Exit EBITDA (calculated from growth assumptions)

Step 2: Base Case Returns

Calculate:

MetricValue
Entry EV
Equity invested
Exit EBITDA
Exit EV
Net debt at exit
Exit equity value
MOIC
IRR
Cash-on-cash

Show the returns waterfall:

  • EBITDA growth contribution
  • Multiple expansion/contraction contribution
  • Debt paydown contribution
  • Fee/expense drag

Step 3: Sensitivity Tables

Build 2-way sensitivity matrices:

Entry Multiple vs. Exit Multiple

Exit 6xExit 7xExit 8xExit 9xExit 10x
Entry 7x
Entry 8x
Entry 9x
Entry 10x

EBITDA Growth vs. Exit Multiple (at fixed entry)

Leverage vs. Exit Multiple (at fixed entry and growth)

Hold Period vs. Exit Multiple

Show both IRR and MOIC in each cell (IRR / MOIC format).

Step 4: Scenario Analysis

Build 3 scenarios:

BullBaseBear
Revenue CAGR
Exit EBITDA margin
Exit multiple
Exit EBITDA
MOIC
IRR

Step 5: Output

  • Excel workbook with:
  • Assumptions tab
  • Returns calculation
  • Sensitivity tables (formatted with conditional coloring)
  • Scenario summary
  • One-page returns summary suitable for IC deck

Key Formulas

  • MOIC = Exit Equity Value / Equity Invested
  • IRR = solve for r: Equity Invested × (1 + r)^n = Exit Equity Value (adjust for interim cash flows)
  • Returns attribution:
  • Growth: (Exit EBITDA - Entry EBITDA) × Exit Multiple / Equity
  • Multiple: (Exit Multiple - Entry Multiple) × Entry EBITDA / Equity
  • Leverage: Debt paydown over hold period / Equity

Important Notes

  • Always show returns both gross and net of fees/carry where applicable
  • Management rollover and co-invest change the equity check — ask if relevant
  • Dividend recaps or interim distributions affect IRR significantly — include if planned
  • Don't forget transaction costs (typically 2-4% of EV) — they reduce Day 1 equity value
  • Tax considerations (asset vs. stock deal, 338(h)(10) election) can materially affect after-tax returns

Related skills

FAQ

What sensitivities does it build?

Two-way matrices for entry vs exit multiple, EBITDA growth vs exit, leverage vs exit, and hold period vs exit.

What is the output?

An Excel workbook with assumptions, returns, sensitivity tables, and a one-page IC returns summary.

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