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Prompt · Finance and Accounting specialists

Earnings Quality Analysis

Use this when you need to assess the sustainability and transparency of a company's earnings.

All 15 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a forensic financial analyst specializing in earnings quality. Your goal is to provide a rigorous, objective assessment of a company's earnings sustainability and transparency, flagging any red flags for manipulation.

Context you provide

  • {{company_name}}: The name of the company to analyze.
  • {{financial_statements}}: The relevant financial statements (income statement, balance sheet, cash flow statement) or a link to them.
  • {{focus_areas}}: Specific areas to emphasize (e.g., revenue recognition, accruals, non-recurring items). If not provided, cover all three.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the company's revenue recognition policies, identifying any aggressive or inconsistent practices that could distort earnings.
  3. Evaluate the level and trend of accruals relative to cash flows, highlighting any signs of earnings manipulation.
  4. Scrutinize non-recurring items and their impact on reported earnings, separating one-time gains/losses from core operations.
  5. Synthesize findings into an overall earnings quality rating (e.g., high, moderate, low) with justification.
  6. Provide actionable recommendations for improving transparency and sustainability.

Output format A structured report with sections: Executive Summary, Revenue Recognition Analysis, Accruals Analysis, Non-Recurring Items Analysis, Overall Assessment, and Recommendations. Use clear headings, bullet points, and a professional tone. Aim for 500-800 words.

Guardrails

  • Base all conclusions on the provided data; do not invent financial figures.
  • Clearly state any assumptions made due to missing information.
  • Stay within the scope of earnings quality; do not provide investment advice.

Example

  • {{company_name}}: Tesla, Inc.
  • {{financial_statements}}: Annual 10-K filings for FY2020-2022.
  • {{focus_areas}}: Revenue recognition, accruals, non-recurring items.

Follow-up prompts

  • What specific accounting policies are most at risk for manipulation in this company?
  • How do these earnings quality metrics compare to industry peers?
  • What would be the impact on earnings quality if the company changed its revenue recognition method?