{{company_name}}
Company Name
Example: Example: Meridian Infrastructure Ltd.
Enter the name of the organization being assessed.
Conduct a holistic assessment of profitability, liquidity, solvency, efficiency, cash flow, and capital structure using the available financial and business information.
This prompt has variables that can be replaced with your own information. Copy and use it with your preferred LLM, or try it out in the LearnerBox Prompt Playground.
Act as a senior financial analyst preparing a comprehensive financial health diagnostic.
Assess the company’s overall financial condition using the supplied financial statements, ratios, management information, and economic context.
Company:
{{company_name}}
Industry:
{{industry}}
Analysis period:
{{analysis_period}}
Financial statements:
{{financial_statements}}
Financial ratios:
{{financial_ratios}}
Management discussion and business context:
{{management_discussion}}
Economic and market context:
{{economic_context}}
Comparable-company or industry information:
{{benchmark_data}}
Analysis requirements:
1. Begin by checking the completeness, consistency, and comparability of the supplied information.
2. State all material data limitations before drawing conclusions.
3. Analyze profitability, including:
- revenue growth;
- gross margin;
- operating margin;
- net margin;
- return on assets;
- return on equity; and
- major drivers of change.
4. Analyze liquidity, including:
- working capital;
- current ratio;
- quick ratio;
- cash availability;
- short-term funding dependence; and
- near-term obligations.
5. Analyze solvency and leverage, including:
- debt levels;
- debt maturity profile;
- debt-to-equity;
- interest coverage;
- fixed-charge coverage, where available;
- covenant headroom; and
- refinancing exposure.
6. Analyze operating efficiency, including:
- receivable turnover;
- inventory turnover;
- payable management;
- asset turnover;
- cash conversion cycle; and
- cost discipline.
7. Analyze cash-flow quality, including:
- operating cash generation;
- profit-to-cash conversion;
- capital expenditure;
- free cash flow;
- dividend coverage; and
- reliance on external financing.
8. Evaluate capital structure and funding flexibility.
9. Assess the quality and sustainability of earnings.
10. Identify key financial strengths, weaknesses, opportunities, and risks.
11. Separate:
- facts supported by the supplied data;
- analytical interpretations;
- assumptions; and
- issues requiring further evidence.
12. Compare performance with supplied benchmarks only; do not invent industry averages.
13. Develop a financial-risk heat map using:
- low;
- moderate;
- high; and
- critical.
14. For every high or critical risk:
- explain the evidence;
- identify the possible consequence;
- state what additional information is required; and
- suggest management actions for consideration.
15. Do not provide an audit opinion, credit rating, investment recommendation, or assurance conclusion.
16. Do not treat a single ratio as sufficient evidence of overall financial health.
Present the result as:
{{output_format}}
Include:
- an executive assessment;
- data-quality and limitation note;
- profitability analysis;
- liquidity analysis;
- solvency and leverage analysis;
- operating-efficiency analysis;
- cash-flow quality analysis;
- capital-structure assessment;
- financial strengths;
- weaknesses and vulnerabilities;
- opportunities for improvement;
- risk heat map;
- management priorities for the next 90 days;
- medium-term financial priorities;
- information requests;
- scenario considerations; and
- an overall evidence-based conclusion.
Replace each variable shown in double curly brackets with accurate information from your own professional context.
{{company_name}}
Example: Example: Meridian Infrastructure Ltd.
Enter the name of the organization being assessed.
{{industry}}
Example: Example: Engineering and infrastructure services
Industry characteristics influence margins, working capital, capital intensity, and leverage.
{{analysis_period}}
Example: Example: Financial years 2022 to 2025
Three or more periods are recommended for a comprehensive diagnostic.
{{financial_statements}}
Example: Paste comparative income statements, balance sheets, cash-flow statements, and relevant notes.
Include consistent and sufficiently detailed figures for each period.
{{financial_ratios}}
Example: Paste calculated profitability, liquidity, leverage, efficiency, and cash-flow ratios.
Ratios can be supplied or calculated by the AI where the underlying figures are available.
{{management_discussion}}
Example: Include strategy, major events, operational issues, acquisitions, restructuring, and management explanations.
Context is essential for interpreting unusual financial movements.
{{economic_context}}
Example: Example: Rising interest rates, currency depreciation, weak demand, and higher raw-material costs.
Add external conditions that may affect financial performance.
{{benchmark_data}}
Example: Paste reliable peer, industry, or covenant benchmark data.
Benchmarks should be comparable, current, and obtained from a reliable source.
{{output_format}}
Choose the format that best matches the intended audience and decision.
A comprehensive, evidence-based financial diagnostic covering profitability, liquidity, solvency, efficiency, cash flow, capital structure, earnings quality, financial risks, management priorities, information gaps, and an overall qualified assessment.
These characteristics describe the type of thinking, customization, and output structure involved in using this prompt effectively.
This breakdown explains how the prompt’s major components work together to guide the AI toward a useful, reliable, and well-structured response.
Positions the AI as a senior financial analyst conducting a holistic diagnostic.
Combines financial statements, ratios, management information, economic conditions, and benchmarks.
Requires integrated analysis across profitability, liquidity, solvency, efficiency, cash flow, and funding.
Prevents audit opinions, credit ratings, investment recommendations, invented benchmarks, and conclusions based on isolated ratios.
Requires analytical sections, a risk heat map, short- and medium-term priorities, information requests, and an overall conclusion.
Company, industry, analysis period, financial statements, ratios, management discussion, economic context, benchmark data, and output format.
AI-generated responses can contain errors, omissions, unsupported assumptions, outdated information, or recommendations that do not reflect your jurisdiction or professional context.
Verify calculations, evidence, regulations, standards, policies, and professional recommendations before relying on the result. The qualified professional remains responsible for the final decision.
Return to the specialization page to explore additional professional workflows and prompt templates.
Customize the template for your professional context or open it directly in the Prompt Playground for guided AI practice.