SANDEEP E SATHYANARAYANABANKING • TRANSFORMATION • PRODUCT

The Banking Academy / Credit Analytics

Leveraged Finance

Explore capital structures, leverage and the questions behind a credit assessment.

What you will explore

Learning objectives

  • Interpret a debt / EBITDA multiple.
  • Understand why scenario assumptions matter.

Module 01 / Sample lesson

How Leverage Ratios Inform Credit Decisions

A simple visual starting point for leverage and earnings sensitivity.

Debt / EBITDA compares debt with an earnings measure. It is a useful starting point for discussion, but it is not a direct measure of cash available to repay a loan.

For a synthetic business with $420m of debt and $100m of EBITDA, leverage is 4.2x. If EBITDA falls to $75m and debt is unchanged, leverage rises to 5.6x.

The dashboard below uses those multiples as preset illustrations. It does not model a real borrower or predict a credit outcome.

PORTFOLIO OVERVIEW

Credit intelligence / synthetic portfolio

Credit Risk Command Centre

SYNTHETIC DATA
Portfolio Exposure$2.40bnUSD • illustrative
Average Leverage4.2xDebt / EBITDA
Watchlist Share8.5%Share of exposure
Average DSCR1.65xDebt service coverage

Portfolio risk distribution

% of exposure
Low Risk63.5%
Moderate28%
Watchlist8.5%

Scenario perspective

Base case: most exposure sits in the illustrative low-risk bucket.

Preset illustration. Not a forecast.
Synthetic demonstration data • Educational use onlyBase Case

Supporting resources

Reference materials and downloadable PDFs will be added as the course develops.

Sample lessons use simplified synthetic examples for education. They do not represent a real borrower, institution or lending recommendation.