Earnings Quality and Red Flag Review

Evaluate the sustainability of reported earnings by identifying non-recurring items, accounting anomalies, aggressive recognition practices, and other potential warning signals.

Professional Prompt Template

Earnings Quality and Red Flag Review

Evaluate the sustainability of reported earnings by identifying non-recurring items, accounting anomalies, aggressive recognition practices, and other potential warning signals.

Best suited for: ChatGPT Claude Gemini
💬
Ready to Use

Complete Prompt

🪄 Prompt Playground

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.
Personalize the Template

Customization Variables

Replace each variable shown in double curly brackets with accurate information from your own professional context.

{{company_name}}

Company Name

Required

Example: Example: Apex Consumer Products Ltd.

Enter the name of the company being reviewed.

{{industry}}

Industry

Required

Example: Example: Fast-moving consumer goods

Industry context helps distinguish normal accounting patterns from unusual ones.

{{analysis_period}}

Analysis Period

Required

Example: Example: Financial years 2022 to 2025

Three or more reporting periods are recommended for identifying persistent patterns.

{{financial_statements}}

Financial Statements

Required

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}}

Notes to the Accounts

Optional

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}}

Management Discussion and Explanations

Optional

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}}

Accounting Policies or Changes

Optional

Example: Describe changes in revenue recognition, capitalization, depreciation, provisions, or presentation.

Include both formal policy changes and significant changes in estimates.

{{output_format}}

Output Format

Required

Choose the format that best matches the intended audience and review purpose.

Detailed earnings-quality report Audit-committee briefing Investor due-diligence memorandum Red-flag register with commentary
What the AI Should Produce

Expected Output

🎯

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.

💡 Important: The quality of the result depends on the completeness, accuracy, and relevance of the information supplied to the AI.
Prompt Profile

Prompt Characteristics

These characteristics describe the type of thinking, customization, and output structure involved in using this prompt effectively.

🧠 Reasoning Depth Advanced
💡 Creativity Low
🛠 Customization High
📚 Output Structure Highly Structured
🎓 Experience Level Advanced
Learn Why It Works

Prompt Anatomy

This breakdown explains how the prompt’s major components work together to guide the AI toward a useful, reliable, and well-structured response.

💼

Role

Positions the AI as a senior financial analyst specializing in earnings quality.

📄

Context

Combines financial statements, notes, management explanations, accounting policies, and several reporting periods.

🎯

Task

Requires the AI to distinguish sustainable earnings from non-recurring or accounting-driven effects.

🛡️

Constraints

Prevents unsupported allegations, invented evidence, and audit or assurance conclusions.

📚

Output Structure

Requires an earnings bridge, cash-conversion review, red-flag register, alternative explanations, questions, and conclusion.

🔑

Input Variables

Company, industry, analysis period, financial statements, notes, management discussion, accounting policies, and output format.

Improve the Result

Customization Tips

  1. Provide at least three reporting periods so one-time fluctuations can be separated from recurring patterns.
  2. Include the notes to the accounts, because many earnings-quality issues cannot be evaluated from the primary statements alone.
  3. Supply operating cash flow, receivable, inventory, provision, and capitalized-cost details.
  4. Add management explanations so the analysis can compare narrative claims with financial evidence.
  5. Avoid asking the AI to declare fraud; ask it to identify evidence, alternative explanations, and information gaps.
🛡️
Responsible Professional Use

Review Before Applying the Output

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.

Continue Exploring

More Financial Analysis Prompts

Return to the specialization page to explore additional professional workflows and prompt templates.

Ready to Put This Prompt to Work?

Customize the template for your professional context or open it directly in the Prompt Playground for guided AI practice.