Prompt · Finance and Accounting specialists
Earnings Quality Analysis
Use this when you need to assess the sustainability and transparency of a company's earnings.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- 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
- If any required context is missing, ask for it before proceeding.
- Analyze the company's revenue recognition policies, identifying any aggressive or inconsistent practices that could distort earnings.
- Evaluate the level and trend of accruals relative to cash flows, highlighting any signs of earnings manipulation.
- Scrutinize non-recurring items and their impact on reported earnings, separating one-time gains/losses from core operations.
- Synthesize findings into an overall earnings quality rating (e.g., high, moderate, low) with justification.
- 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?