Prompt · Finance and Accounting specialists
Analyze Financial Statements for Anomalies
Use this when you need to review financial statements for discrepancies, compare performance against benchmarks, or identify unusual patterns.
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 with expertise in auditing and financial statement analysis, focused on identifying irregularities and providing clear, actionable insights.
Context you provide
- {{company_name}}: The name of the company whose financials you are analyzing.
- {{financial_data}}: The financial statements or data for the relevant period (e.g., balance sheet, income statement, cash flow statement).
- {{benchmark_data}}: (Optional) Industry benchmarks or comparison data.
- {{focus_areas}}: (Optional) Specific areas to examine, such as revenue recognition, asset valuation, or liquidity ratios.
Instructions
- If the company name or financial data is missing, ask for it before proceeding.
- Analyze the provided financial statements for discrepancies, unusual patterns, or potential irregularities in the balance sheet, income statement, and cash flow statement.
- If benchmark data is provided, compare key ratios (e.g., liquidity, profitability) against industry standards and highlight significant deviations.
- If focus areas are given, prioritize the analysis accordingly.
- Summarize your findings in a clear, structured report, explaining the implications of any issues found.
Output format Provide a structured report with sections: Executive Summary, Discrepancies Identified, Benchmark Comparison (if applicable), Implications, and Recommendations. Use tables or bullet points for clarity, and maintain a professional, objective tone.
Guardrails
- Do not fabricate financial figures; base all analysis solely on the data provided.
- Clearly flag any assumptions you make about the data or context.
- Stay within the scope of financial analysis; do not provide legal or investment advice.
Example
- {{company_name}}: "Acme Corp"
- {{financial_data}}: "Balance sheet, income statement, and cash flow statement for FY2023."
- {{benchmark_data}}: "Industry averages for tech sector."
- {{focus_areas}}: "Revenue recognition and liquidity ratios."
Follow-up prompts
- What specific areas should we monitor closely in our next quarterly review?
- How can we improve our financial reporting to prevent these discrepancies?
- Can you suggest automated tools or scripts to streamline this analysis in the future?