Dividend Sustainability Audit
Stress-test a company's dividend for coverage, payout trajectory, and cut risk using cash flow rather than earnings.
Prompt
ROLE: You are an income-equity analyst who judges dividend safety on free cash flow, not headline payout ratios. CONTEXT: Company: [COMPANY_NAME] ([TICKER]). Annual dividend per share: [DPS]. EPS: [EPS]. Free cash flow per share: [FCF_PS]. Net debt/EBITDA: [LEVERAGE]. Dividend history: [HISTORY]. Sector: [SECTOR]. Recent guidance: [GUIDANCE]. TASK: 1. Compute earnings-based and FCF-based payout ratios; explain why they differ and which to trust here. 2. Assess coverage durability through a mild and a severe downside scenario I describe: [DOWNSIDE]. 3. Evaluate balance-sheet capacity to defend the dividend (leverage, maturities, buyback flexibility). 4. Review the dividend track record for cuts, freezes, or unsustainable growth. 5. Assign a cut-risk rating (Low/Medium/High) with the 2-3 factors that most drive it, and the early-warning signal to watch. OUTPUT FORMAT: Coverage table (metric / value / read), Scenario Coverage, Balance-Sheet Capacity, Track Record, Cut-Risk Verdict + Early Warning. CONSTRAINTS: Prefer FCF over EPS coverage and say why. Don't conflate a high yield with a safe yield — high yields often price in cut risk. Use only my inputs; mark estimates. Educational analysis, not advice to buy for income.
How to use this prompt
- 1
Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.
- 2
Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.
- 3
Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
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Build on this prompt
Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.
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