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Screen for Financial Health Indicators: AI Prompt for Claude & ChatGPT

Copy this Claude prompt to screen leverage, liquidity, and coverage for stock research. Works with Claude, ChatGPT, Gemini, and Grok.

This financial-health prompt for stock analysis reviews leverage, liquidity, coverage, and common red flags. Paste statement excerpts into Claude, ChatGPT, Gemini, or Grok and recompute ratios from the source numbers.

Recommended tools

ChatGPTClaudeGeminiGrok

Tags

Fundamental AnalysisBeginner

The Screen for Financial Health Indicators prompt (Claude, ChatGPT, Gemini, Grok)

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

You are a credit research analyst and fundamental equity analyst. Perform a comprehensive financial health screening for [COMPANY_NAME] (ticker: [TICKER]) using the most recent 10-K and 10-Q.

## Context
Use only figures from the balance sheet, income statement, and cash flow statement in SEC filings. Do not speculate about future performance or provide investment recommendations.

## Required Analysis

### Part 1 - Financial Health Dashboard
Build a single summary table:
| Category | Metric | Current Value | Prior Year | Trend (↑↓→) | Sector Benchmark | Status (Green/Yellow/Red) |

**Leverage metrics:**
- Total Debt / Equity
- Net Debt / EBITDA
- Total Debt / Total Capital
- Interest Coverage (EBIT / Interest Expense)

**Liquidity metrics:**
- Current Ratio
- Quick Ratio (Acid Test)
- Cash & Equivalents ($M)
- Cash as % of Short-Term Debt
- Undrawn revolving credit facility ($M, if disclosed)

**Solvency metrics:**
- FCF / Total Debt
- Debt Service Coverage (EBITDA / (Interest + Current Debt Maturities))
- Fixed Charge Coverage (if lease-heavy)

### Part 2 - Altman Z-Score (or equivalent)
Calculate the Altman Z-Score (or Z''-Score for non-manufacturers / private):
- Show each component and its value
- State the overall score and which zone it falls in (Safe / Gray / Distress)
- Note any limitations of the Z-Score for this particular company

### Part 3 - Debt Maturity Profile
If disclosed in the 10-K footnotes, build a maturity wall:
| Year | Debt Maturing ($M) | Cumulative (%) |
Note the weighted average maturity, average interest rate, and any variable-rate exposure.

### Part 4 - Red Flag Checklist
Evaluate each red flag (Y/N with evidence):
- [ ] Going-concern language in the audit opinion or footnotes
- [ ] Covenant violations or waiver requests
- [ ] Negative working capital
- [ ] Declining cash from operations for 2+ consecutive years
- [ ] Interest expense growing faster than EBIT
- [ ] Significant off-balance-sheet obligations (operating leases pre-ASC 842, VIEs, guarantees)
- [ ] Recent credit rating downgrades (if disclosed)
- [ ] Goodwill > 50% of total assets (impairment risk)
- [ ] Related-party transactions flagged in footnotes

### Part 5 - Trend Analysis
Compare the current period to 2-3 years ago:
- Which metrics have improved materially?
- Which have deteriorated?
- Is the overall trajectory positive, stable, or concerning?

### Part 6 - Health Scorecard
| Dimension | Score (1-5) | Justification |
- Leverage prudence
- Liquidity adequacy
- Debt maturity profile
- Earnings coverage of obligations
- Absence of red flags
**Overall financial health rating:** Strong / Adequate / Watch List / Distressed

### Part 7 - Research Agenda
List 3-5 follow-up items (e.g. "Review the maturity schedule for the $Xbn term loan due [year]", "Compare leverage to closest peer [PEER_TICKER]").

### Part 8 - Visual Verification & Chart Follow-Up
- Identify 2-3 visual inflection points that require multi-year chart inspection (e.g. debt-to-equity trajectory over 10 years, interest coverage buffer cycles, and operating cash flow health).
- 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 tables, checklists, and headers. Traffic-light color coding where indicated. Neutral, research-oriented language. 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.Ford Motor Company
[TICKER]Stock ticker symbol.F

How to use this prompt

Replace [COMPANY_NAME] and [TICKER]. For best results, paste the balance sheet and debt footnotes from the 10-K alongside the prompt. The traffic-light dashboard makes it easy to quickly identify areas of concern. Use the output as a starting point for deeper credit or fundamental analysis.

Tips

  • Always verify ratios against the actual filings - AI can make calculation errors, especially with complex balance sheets.
  • Sector norms vary dramatically (e.g. utilities carry high leverage by design vs tech companies). The sector benchmark column contextualizes each metric.
  • The Altman Z-Score works best for manufacturing companies; for financials, REITs, or utilities, note the limitations.
  • Check the footnotes for off-balance-sheet commitments and contingent liabilities not captured in headline ratios.
  • Run this quarterly on holdings to catch early warning signs before they become consensus concerns.

When to use this prompt

Quick financial health triage before committing to a full fundamental deep-dive

Comparing balance sheet strength and credit risk across a peer set

Building the financial health section of a research report or due diligence memo

Monitoring portfolio holdings for early signs of deteriorating creditworthiness

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.