Returns Analysis

anthropics/financial-services/plugins/vertical-plugins/private-equity/skills/returns-analysis

作者 anthropics574ed3624aebd0418c7e96cd101262f30210ab26無授權條款39K 個星標收錄於 2026年10月9日更新於 2026年10月9日儲存庫2 週前更新

Build quick IRR/MOIC sensitivity tables for PE deal evaluation. Models returns across entry multiple, leverage, exit multiple, growth, and hold period scenarios. Use when sizing up a deal, stress-testing assumptions, or preparing IC returns exhibits. Triggers on "returns analysis", "IRR sensitivity", "MOIC table", "what's the return at", "model the returns", or "back of the envelope".

AI 產生的概覽

為私募股權交易評估快速建立 IRR 與 MOIC 敏感度表和情境分析。

功能
引導使用者蒐集交易輸入,例如進場 EBITDA 與倍數、槓桿、營運假設與退出假設。接著提出基準情境報酬,並依 EBITDA 成長、倍數變動、債務償還與費用拖累做歸因瀑布。它建立雙向敏感度矩陣(進場倍數對退出倍數、成長對退出倍數、槓桿對退出倍數、持有期間對退出倍數),每個儲存格同時顯示 IRR 與 MOIC,並提出樂觀、基準、悲觀三種情境。產出為包含假設、報酬計算、敏感度表與情境彙總分頁的 Excel 活頁簿,以及一頁適合投資委員會材料的報酬摘要。
適用情境
適用於評估私募股權交易、壓力測試報酬假設,或準備投資委員會報酬材料。也適合快速估算在給定進場或退出倍數下的報酬。觸發詞包括 returns analysis、IRR sensitivity、MOIC table 與 model the returns。
執行需求
沒有腳本,僅為指示性內容。產出為 Excel 活頁簿與一頁摘要,因此需要試算表工具或檔案產生能力。交易輸入(進場 EBITDA 與倍數、淨負債、股權投入、費用、債務條件、成長率、資本支出、營運資金、持有期間、退出倍數)需由使用者提供。

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

來源與署名

來源:anthropics/financial-services位於plugins/vertical-plugins/private-equity/skills/returns-analysis提交574ed36

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