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Credit Rating ModelFree Financial Model Download

Forecast credit metrics and estimate debt ratings without waiting for agency decisions. Map your leverage, coverage, and liquidity ratios to published agency scales and stress-test your rating under different EBITDA and financing scenarios.

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About this model

This credit rating model calculates leverage and coverage ratios from a three-statement projection and maps them to implied credit ratings (BBB, BB, B, etc.) using agency-published rating scales. It projects leverage (total debt / EBITDA), interest coverage (EBITDA / interest), DSCR (debt service coverage ratio), loan-to-value (LTV), and other metrics; then applies lookup tables benchmarking those metrics against Moody's or S&P rating thresholds to estimate what rating a debt issuance would likely receive. It includes rating outlook and rating triggers, flagging when performance deteriorates sufficiently to trigger a downgrade watch or negative outlook.

The model includes an assumptions section with leverage and coverage thresholds for each rating category; a calculations section projecting the subject company's financial metrics across a 5-year period; a rating determination section that looks up the implied rating in each year based on leverage, coverage, and qualitative factors; and a sensitiv table showing how ratings change if key assumptions (EBITDA growth, leverage target, interest rate) shift. Outputs include a rating waterfall showing the path from entry to exit rating, and heat maps identifying periods of rating stress.

This model is used by corporates managing their credit profile and capital structure to maintain or improve ratings; credit analysts evaluating issuers; lenders assessing credit risk for commercial loans; and investment committees evaluating fixed-income holdings. It provides forward-looking insight into credit trajectory without waiting for agencies to publish their ratings.

income_statement.xlsx
Income statement, brown brand palette
income_statement.xlsx
Income statement, green brand palette
income_statement.xlsx
Income statement, red brand palette

Recolor to your brand.
Formatted to IB standards.

Named theme colors repaint the whole workbook in one click, on top of an investment-banking structure with blue inputs, black formulas, and green cross-sheet links.

  • Brand-ready
  • Institutional grade
  • Fully auditable

What's included

  • Leverage ratios: Net Debt/EBITDA, Total Debt/EBITDA, Loan-to-Value
  • Coverage ratios: Interest Coverage, DSCR, EBITDA-to-capex
  • Liquidity: Days Cash on Hand and loan covenant cushion
  • Default probability from credit metrics using agency mappings
  • Rating outlook and rating triggers

Rating scale mapping to agency benchmarks

Use agency-published mappings from S&P, Moody, and Fitch to convert your calculated metrics into rating equivalents for pricing and covenant analysis.

Stress and scenario rating analysis

Model your implied rating under different EBITDA and leverage scenarios so you understand rating volatility before a deal or covenant test.

Default probability calibration

Translate calculated credit metrics into probability of default using historical default rates by rating category.

Frequently asked

What is a credit rating model?+

It is a model that calculates leverage, coverage, and liquidity metrics and maps them to agency rating scales to estimate an implied debt rating and probability of default.

How accurate is a self-estimated credit rating?+

Agency ratings typically lag by 6 to 12 months and incorporate qualitative factors. A self-estimated model provides a quantitative floor and early warning of deterioration.

What is a good interest coverage ratio?+

A ratio above 3.0x is generally strong and maps to BBB or better. Below 2.5x typically indicates high-yield or distressed credit.

How do I model default probability?+

Use the Merton model leveraging equity volatility and firm value, or apply rating-to-PD lookup tables published by rating agencies.

Who uses credit rating models?+

Treasurers, rating analysts, lenders, and credit officers use them for debt issuance pricing, covenant monitoring, and pro forma credit analysis in M&A transactions.

Alex Tapio, founder of Finamodel and ex-Deloitte financial modelling expert

Alex Tapio

Founder of Finamodel • Professional Financial Modeller • Ex-Deloitte