ThinkWithPrompt by SynotticThinkWithPrompt

Write a quality-of-earnings due diligence request list for an acquisition

A prioritized document and data request list for buy-side financial diligence, focused on quality of earnings.

Finance & AccountingFew-ShotStandardFinanceWritePlanFill-in Template

The prompt

Help me prepare the financial due diligence request list for an acquisition we are evaluating. Target: [industry, size, business model, ownership] Deal rationale: [why we are buying] Valuation basis: [e.g. "multiple of adjusted EBITDA", "ARR multiple"] Known concerns: [e.g. customer concentration, recent margin jump, founder-dependent sales] Timeline and diligence team: [DETAILS] Cover: 1. Quality of earnings: monthly P&L for 3 years, management adjustments with support, one-off items, owner-related costs, revenue recognition policies. 2. Revenue: customer-level revenue, contracts, churn, backlog, pricing changes, concentration. 3. Net working capital: monthly balances, seasonality, aging, inventory reserves, to set a working capital peg. 4. Net debt and debt-like items: leases, deferred revenue, unpaid bonuses, earn-outs, tax exposures. 5. Costs: headcount census, compensation, key vendors, capex history. 6. Tax, systems, and controls at a high level. Return: - A request list table: # | Area | Request | Why it matters | Priority (must / should / nice) | Requested date. - The 10 questions for management interviews. - Red flags to watch for in the answers. - A list of items to hand to legal, tax, and commercial diligence. This is a working checklist; engage qualified diligence advisors for material transactions.

Highlighted [brackets] are blanks to replace with your own details.

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What to fill in

  • industry, size, business model, ownership
  • why we are buying
  • e.g. "multiple of adjusted EBITDA", "ARR multiple"
  • DETAILS

How this prompt is built

This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.

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