Mistral Prompt to Analyze an Annual Report
Annual reports are dense documents that combine financial data, strategic analysis and growth prospects. Reading them fully can take several hours, even for an experienced analyst. Mistral, thanks to its natural language processing capabilities and extended context window, allows you to quickly extract key information from an annual report. Whether you are an investor looking to assess a company's financial health, an analyst wanting to compare several companies, or an executive preparing a strategic review, Mistral can transform a hundreds-page document into a structured and actionable summary. The AI identifies financial trends, mentioned risks, strategy changes, and key performance indicators, enabling you to make informed decisions in a fraction of the usual time. This approach is particularly useful during earnings season, when dozens of reports are released simultaneously.
The prompt
You are a senior financial analyst specialized in analyzing corporate annual reports. I will provide you with the content of an annual report. Analyze it exhaustively following this structure:
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Executive summary: Summarize in 5 key points the highlights of the fiscal year.
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Financial analysis:
- Revenue, net income, and EBITDA (change vs N-1)
- Operating margins and their trend
- Debt level (net debt/EBITDA ratio)
- Free cash flow
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Strategic analysis:
- Competitive positioning and market share
- Priority strategic axes for the coming years
- Major investments made or announced (M&A, R&D, CAPEX)
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Risk factors: Identify the 5 main risks mentioned and assess their criticality level (low/medium/high).
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Governance and ESG: Note changes in governance and notable environmental and social commitments.
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Verdict: Give your overall assessment of the company's health and outlook, assigning a score from 1 to 10 with justification.
Be factual, cite precise figures from the report, and flag any inconsistency or grey area detected.
Here is the annual report:
[PASTE_REPORT_CONTENT_HERE]
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Why it works
This prompt works thanks to the attribution of an expert role (senior financial analyst) that guides Mistral towards a rigorous analytical register. The numbered structure with precise subcategories forces systematic data extraction, avoiding omissions. The final instruction asking to cite figures and flag inconsistencies pushes the model to anchor its answers in the actual content of the document rather than generating generalities.
Expected result
Variants by level
FAQ
Can Mistral analyze a complete 200-page annual report?
Are the financial figures extracted by Mistral reliable?
How to compare multiple annual reports with Mistral?
How to use this prompt
- Copy the prompt with the button above.
- Paste it into ChatGPT, Claude or your favorite AI assistant.
- Replace the bracketed variables with your details, then refine the result.
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