Disclaimer: This platform provides informational and educational summaries of publicly available data only. It is not investment advice, financial advice, or a recommendation or solicitation regarding any security. Users make independent decisions; past performance does not guarantee future results. Read full disclaimer · Terms of Service · Privacy Policy

Back to all prompts

Evaluate Earnings Quality from 10-Q: AI Prompt for Claude & ChatGPT

Copy this Claude prompt to score 10-Q earnings quality for stock analysis. Works with Claude, ChatGPT, Gemini, and Grok on accruals and cash conversion.

This earnings-quality prompt for stock research scores accruals, cash conversion, and one-time items in a 10-Q. Paste filing excerpts into Claude, ChatGPT, Gemini, or Grok and treat the output as a checklist, not a conclusion.

Recommended tools

ChatGPTClaudeGeminiGrok

Tags

Earnings ResearchIntermediate

The Evaluate Earnings Quality from 10-Q prompt (Claude, ChatGPT, Gemini, Grok)

Select a watchlist or portfolio ticker to pre-fill placeholders, or copy and replace manually.

You are a forensic accounting specialist and senior equity analyst. Perform a detailed earnings quality assessment for [COMPANY_NAME] (ticker: [TICKER]) using the most recent 10-Q filing and, where relevant, the year-ago comparable quarter.

## Context
Focus on the income statement and cash flow statement from the 10-Q. If [FILING_CONTEXT] is provided, use it as the primary data source. Do not speculate about future results or provide investment recommendations.

## Required Analysis

### Part 1 - Cash Conversion Bridge
Build a reconciliation table:
| Line Item | Amount ($M) | % of Net Income |
Starting from Net Income, walk through each major reconciling item to Operating Cash Flow:
- Depreciation & amortization
- Stock-based compensation
- Working capital changes (receivables, inventory, payables, deferred revenue)
- Other non-cash or one-time items

Flag any single item that represents >20% of net income.

### Part 2 - Non-Recurring Item Identification
For each non-recurring item found, provide:
- Description and dollar amount
- Whether it inflated or deflated reported earnings
- Management's characterization vs your assessment
- Impact on trailing-twelve-month (TTM) metrics if removed

### Part 3 - Accrual Quality Signals
Evaluate these specific red/green flags:
- [ ] Days Sales Outstanding (DSO) trend vs revenue growth - divergence?
- [ ] Inventory days vs COGS growth - buildup?
- [ ] Deferred revenue trend - accelerating or decelerating?
- [ ] Change in accounting estimates or policies noted in the filing
- [ ] Capitalization of costs that peers typically expense
Rate overall accrual quality: Conservative / Neutral / Aggressive (with evidence).

### Part 4 - Quarter-over-Quarter & Year-over-Year Comparison
Compare the current quarter to:
- Same quarter last year (YoY) - note margin changes, mix shifts, one-time deltas
- Prior sequential quarter (QoQ) - note seasonality vs structural changes

### Part 5 - Earnings Quality Scorecard
Rate each (1-5, with justification):
- Cash backing of earnings (OCF / Net Income ratio)
- Absence of non-recurring inflation
- Accrual conservatism
- Revenue recognition transparency
- Consistency with management narrative in MD&A

### Part 6 - Follow-Up Research Agenda
List 3-5 specific questions to investigate (e.g. "Why did deferred revenue decline $Xm despite reported bookings growth?").

### Part 7 - Visual Verification & Chart Follow-Up
- Identify 2-3 visual inflection points that require multi-year chart inspection (e.g. quarterly revenue vs operating income growth, accruals trajectory, and operating margin trends).
- Provide the direct Chartloom visual research link for the user to inspect these 10-year interactive charts: https://www.chartloom.com/c/ticker/[TICKER]

## Output Format
Use structured headers, tables, and checklists. Neutral, research-oriented language only. Do not suggest whether to buy, sell, or hold.

**Variables:** If any [BRACKETED] placeholders above are not set, ask the user for each missing value before proceeding.

Variables

Replace these placeholders in the prompt with your own values.

PlaceholderDescriptionExample
[COMPANY_NAME]Company name as in the 10-Q.Microsoft Corporation
[TICKER]Stock ticker symbol.MSFT
[FILING_CONTEXT]Optional: paste income statement, cash flow, and MD&A sections from the 10-Q for higher accuracy.Paste 10-Q excerpts here (optional)

How to use this prompt

Paste the prompt into your AI assistant. Replace [COMPANY_NAME] and [TICKER]. For significantly better results, paste key excerpts from the 10-Q (income statement, cash flow statement, MD&A) into [FILING_CONTEXT]. Use the output to structure your own reading of the filing.

Tips

  • Pasting the actual income statement and cash flow sections dramatically improves accuracy.
  • Compare the current quarter to the same quarter last year, not just sequentially, to account for seasonality.
  • Pay special attention when OCF / Net Income diverges significantly from 1.0x in either direction.
  • Check the 10-K for full accounting policy descriptions if the 10-Q references changes.
  • Look for patterns across multiple quarters rather than reacting to a single data point.

When to use this prompt

Post-earnings analysis to separate signal from noise in reported results

Comparing earnings quality across peers to identify the most transparent reporters

Identifying non-recurring items that may distort trailing-twelve-month metrics

Building the earnings quality section of a long-form research note

Updated 2026-02-20

These prompts are research tools, not financial advice. Outputs should be independently verified. They are not a recommendation to buy, sell, or hold any security. See our disclaimer for more information.