balance sheet stress scanner

    by nowrich

    1

    Automated balance sheet stress testing and ratio analysis to identify solvency and liquidity risks.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    Analyze this data for FY2021-2023: 2023 Current Assets $420M, Current Liab $430M, Total Debt $500M, Equity $400M, EBIT $60M, Interest $35M. In 2021, Current Ratio was 1.25 and Int. Coverage was 3.2.

    Your agent does

    Balance Sheet Stress Scan Summary

    Overall Stress Level: High

    Red Flag Alerts

    • Current ratio dropped to 0.98 (below 1.0 threshold).
    • Interest coverage fell from 3.2 to 1.7.
    • Debt-to-Equity increased to 1.25.

    Next Steps

    • Review debt maturity schedule.
    • Analyze cash flow projections.

    What you get

    Automate multi-period financial ratio calculations and trend analysis.Flag deteriorating liquidity and solvency risks in 10-K filings.Compare company performance against industry-standard financial benchmarks.Generate structured risk assessment reports for investment due diligence.

    About this skill

    The problem

    Manual financial analysis is prone to oversight, especially when tracking multi-year trends across dozens of line items. Developers and analysts often miss subtle liquidity drains or solvency shifts hidden in dense 10-K filings.

    What it does

    • Calculates critical liquidity, solvency, and working capital ratios across 3 to 5 historical periods.
    • Automates benchmark comparisons against industry standards to identify statistical outliers.
    • Identifies specific red flags like current ratio decay, quick ratio depletion, and interest coverage erosion.
    • Classifies overall financial health into risk tiers from Low to Critical.
    • Generates structured Markdown reports with actionable next steps for due diligence.

    Why this beats prompting it yourself

    This skill enforces a rigid mathematical framework that prevents the LLM from "hallucinating" health where numbers suggest stress. It ensures consistent formula application for complex ratios like Interest Coverage and Quick Ratios that generic prompts often calculate incorrectly.

    Use cases

    • Conducting financial due diligence for M&A or investment opportunities.
    • Performing rapid creditworthiness assessments for lending or vendor onboarding.
    • Automating internal quarterly financial health checkups.
    • Auditing 10-K and annual report data for hidden solvency risks.

    Known limitations

    Requires consistent currency and units across all input periods. Relies on the accuracy of provided EBIT and EBITDA figures for coverage calculations.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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