What it means
Every time a business lends money, sells on credit or signs a long-term supply contract, it takes on default risk. The exposure is often invisible on the balance sheet as a risk, because it hides inside ordinary-looking receivables and loan balances until something goes wrong.
Credit professionals break the risk into three parts. The probability of default is how likely non-payment is over a period, exposure at default is how much would be outstanding at that moment, and loss given default is the share of that exposure that cannot be recovered after security and collections.
The reason the three-part split is worth knowing is that each part can be managed separately. You can reduce probability by lending to stronger customers, reduce exposure by capping credit limits, and reduce loss given default by taking security, a deposit or a guarantee.
Default risk is also what interest rates are largely made of. A lender charging 11% where a government would pay 4% is charging roughly 7% to cover expected losses, the cost of capital held against the risk, and a margin, which is why weaker borrowers pay visibly more.
Under modern accounting rules, businesses must provide for expected credit losses rather than waiting for a default to happen. That turns default risk from a background worry into a recurring charge in the income statement, and it is why credit teams and finance teams now share the same numbers.
In practice
Real-world examples
Example 1
A packaging manufacturer wins a large order from a fast-growing but loss-making start-up. It caps exposure at $75,000 and asks for 50% upfront, cutting the exposure at default rather than turning the business away.
Example 2
A bank prices two identical $1,000,000 five-year loans differently, one at 6% and one at 9.5%, purely because the second borrower's probability of default is judged four times higher. The extra 3.5% is the price of the additional expected loss and the capital held against it.
Example 3
A commercial landlord takes a six-month rent deposit from a new restaurant tenant. The deposit does not change how likely the tenant is to fail, but it reduces loss given default from roughly 100% to around 50% on a twelve-month view.
Think of it
Lending money without checking default risk is like lending your car to a stranger with a reckless driving record and hoping they bring it back in one piece.
Formula
Calculation
Expected loss = probability of default x loss given default x exposure at default.
A specialist lender is assessing a $500,000 facility to a mid-sized haulage firm. It estimates the probability of default over the next year at 4%, and because the loan is secured on vehicles it expects to recover 40% of the balance if things go wrong, giving a loss given default of 60%.
Expected loss = 0.04 x 0.60 x $500,000
Step one: 0.04 x $500,000 = $20,000
Step two: $20,000 x 0.60 = $12,000
The expected loss on this single loan is $12,000 a year, or 2.4% of the amount lent, so the interest rate must clear that before it covers funding costs and profit. If the lender writes 200 similar loans, total exposure is 200 x $500,000 = $100,000,000 and expected losses are 200 x $12,000 = $2,400,000 a year, which is the number the pricing model has to absorb.Case study
Seen in the real world
Ferngate Components is an illustrative, fictional supplier of machined parts used here to show default risk in practice. It sold 38% of its output to a single automotive customer on 60-day terms, with an average outstanding balance of $1,400,000 and no security of any kind.
The finance director ran the numbers honestly for the first time. A 6% annual probability of default and a 90% loss given default on unsecured trade debt produced an expected loss of 0.06 x 0.90 x $1,400,000 = $75,600 a year, against a net margin on that customer of about $260,000. Almost a third of the profit from the relationship was being consumed by risk nobody had priced.
Ferngate did not drop the customer. It negotiated 30-day terms with a small discount for early settlement, which halved the average exposure to roughly $700,000 and cut the expected loss to about $37,800, and it used the fictional exercise to introduce concentration limits for every customer above 15% of sales.
Watch out
Common mistakes
- Assuming a long-standing customer carries no default risk. Length of relationship says nothing about current financial health, and long-standing customers often carry the largest unsecured balances.
- Focusing only on the probability of default. A low-probability, high-exposure customer can be far more dangerous than a risky one on a tight credit limit.
- Confusing default risk with the risk of late payment. Slow payers hurt cash flow, while default destroys the receivable entirely, and the two need different responses.
Questions
People also ask
How is default risk different from credit risk?
Credit risk is the broader family that includes downgrade and concentration risk, while default risk is specifically the chance of non-payment.
Can default risk be removed completely?
No, but it can be transferred or reduced through credit insurance, factoring, deposits, guarantees and security over assets.
Who carries default risk in a supply relationship?
Whoever delivers before being paid, which is why extending payment terms is a real financing decision rather than a purely commercial one.