{{company_name}}
Company Name
Example: Example: Apex Consumer Products Ltd.
Enter the name of the company being reviewed.
Evaluate the sustainability of reported earnings by identifying non-recurring items, accounting anomalies, aggressive recognition practices, and other potential warning signals.
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 specializing in earnings quality and financial-statement review.
Evaluate the quality, sustainability, and reliability of the company’s reported earnings using the information provided below.
Company:
{{company_name}}
Industry:
{{industry}}
Analysis period:
{{analysis_period}}
Financial statements:
{{financial_statements}}
Notes to the accounts:
{{notes_to_accounts}}
Management discussion and explanations:
{{management_discussion}}
Known accounting policies or changes:
{{accounting_policies}}
Analysis requirements:
1. Begin by assessing whether the supplied information is complete and comparable across the reporting periods.
2. Reconcile reported profit with operating cash flow and identify material differences.
3. Separate earnings into:
- recurring operating earnings;
- non-recurring gains or losses;
- accounting-estimate effects;
- financing-related effects;
- tax-related effects; and
- items requiring further clarification.
4. Review revenue quality, including:
- unusual period-end growth;
- changes in revenue-recognition policy;
- rising receivables relative to revenue;
- contract assets or unbilled revenue;
- customer concentration;
- returns, rebates, or incentives; and
- evidence of channel stuffing or premature recognition, where supported by the data.
5. Review expense quality, including:
- capitalization of costs;
- changes in depreciation or amortization;
- restructuring charges;
- impairment reversals;
- provisions and reserve movements;
- related-party expenses;
- unusually low maintenance expenditure; and
- costs shifted between periods.
6. Review balance-sheet indicators that may affect earnings quality, including:
- receivables;
- inventory;
- deferred costs;
- goodwill and intangible assets;
- provisions;
- deferred tax balances;
- accrued liabilities; and
- off-balance-sheet commitments, where disclosed.
7. Identify changes in accounting policies, estimates, classifications, or presentation that reduce comparability.
8. Assess whether earnings growth is supported by:
- operating cash flow;
- sustainable margins;
- normal working-capital behavior;
- recurring customer demand; and
- economically reasonable asset utilization.
9. Create a red-flag register using:
- low concern;
- moderate concern;
- high concern; and
- critical concern.
10. For every red flag:
- cite the supporting evidence;
- explain the possible interpretation;
- identify an alternative non-problematic explanation;
- state the additional information required; and
- avoid alleging misconduct without substantiated evidence.
11. Calculate useful earnings-quality indicators where sufficient data is available, such as:
- operating cash flow to net income;
- accrual ratio;
- receivables growth relative to revenue growth;
- inventory growth relative to cost of sales;
- non-recurring items as a percentage of pre-tax profit; and
- free cash flow conversion.
12. Do not invent figures, accounting policies, management intentions, or evidence of fraud.
13. Do not provide an audit opinion or assurance conclusion.
Present the result as:
{{output_format}}
Include:
- an executive earnings-quality assessment;
- data-quality and comparability note;
- recurring versus non-recurring earnings bridge;
- revenue-quality review;
- expense and capitalization review;
- cash-conversion analysis;
- balance-sheet warning indicators;
- accounting-policy and estimate observations;
- red-flag register;
- alternative explanations;
- questions for management;
- information requests; and
- an evidence-based conclusion on the sustainability of reported earnings.
Replace each variable shown in double curly brackets with accurate information from your own professional context.
{{company_name}}
Example: Example: Apex Consumer Products Ltd.
Enter the name of the company being reviewed.
{{industry}}
Example: Example: Fast-moving consumer goods
Industry context helps distinguish normal accounting patterns from unusual ones.
{{analysis_period}}
Example: Example: Financial years 2022 to 2025
Three or more reporting periods are recommended for identifying persistent patterns.
{{financial_statements}}
Example: Paste comparative income statements, balance sheets, cash-flow statements, and relevant schedules.
Complete statements are needed to compare reported profit with cash generation and balance-sheet movements.
{{notes_to_accounts}}
Example: Paste notes relating to revenue, provisions, inventory, receivables, impairments, related parties, and exceptional items.
The notes often contain essential information about estimates, policies, and non-recurring items.
{{management_discussion}}
Example: Paste management commentary explaining major changes in revenue, margins, costs, and cash flow.
Management explanations can be compared with the financial evidence.
{{accounting_policies}}
Example: Describe changes in revenue recognition, capitalization, depreciation, provisions, or presentation.
Include both formal policy changes and significant changes in estimates.
{{output_format}}
Choose the format that best matches the intended audience and review purpose.
A structured earnings-quality review distinguishing recurring and non-recurring performance, assessing cash conversion and accounting choices, documenting warning indicators, presenting alternative explanations, and identifying matters requiring further investigation.
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 specializing in earnings quality.
Combines financial statements, notes, management explanations, accounting policies, and several reporting periods.
Requires the AI to distinguish sustainable earnings from non-recurring or accounting-driven effects.
Prevents unsupported allegations, invented evidence, and audit or assurance conclusions.
Requires an earnings bridge, cash-conversion review, red-flag register, alternative explanations, questions, and conclusion.
Company, industry, analysis period, financial statements, notes, management discussion, accounting policies, 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.