The 5 Cs of credit — Credit Module 3 | LeadAfrik Public Economics Hub

The 5 Cs of credit have survived a century because they're a complete checklist. Every modern credit decision — from a $50 mobile-money advance scored by an algorithm to a $5bn syndicated loan vetted by a credit committee — sits underneath the same five questions. The math has gotten more sophisticated; the questions are unchanged.

The five questions

Character: will they repay? Have they repaid before? Do they have a reputation for honouring obligations even when it's painful?
Capacity: can they repay? Do their cash flows support the debt service?
Capital: how much do they have at stake? Equity in the business, savings, down payment.
Collateral: what can the lender recover if they don't repay? Security pledged against the loan.
Conditions: what's the economic and industry context? Macro environment, sector outlook, regulatory landscape.

How they're weighted across loan types

text

                Char  Capacity  Capital  Collateral  Conditions
──────────────────────────────────────────────────────────────────
Mortgage         M       H         H         H          M
Unsecured card   H       H         M         L          L
Auto loan        M       H         M         H          M
Working capital  M       H         M         M          H
Project finance  L       H         H         H          H
SACCO loan       H       M         H         M (guarantors) L

H = heavily weighted; M = moderate; L = light

Reading: a SACCO loan leans heavily on Character (peer guarantees) and
Capital (member shareholding) since they typically don't have hard
collateral. Project finance leans on Capacity (the project's cash flows)
and Conditions (the regulatory and offtake environment) since the SPV
has no track record of its own.

The 5 Cs apply universally but in different proportions by loan type. Senior underwriters internalise this matrix.

Why Character is the hardest and most predictive

Character can't be measured directly. You triangulate from credit bureau data (have they paid on time?), reference calls (do counterparties trust them?), legal history (have they been sued for non-payment?), behaviour during the application process (did they hide something?), and the relationship manager's gut. Loans that go wrong almost always had a Character signal that was rationalised away at underwriting. The Capital, Collateral, and Conditions cases mostly explain themselves; Character is where senior judgement earns its keep.

Modern adaptations

Mobile-money lending (M-Shwari, Fuliza, KCB M-Pesa) operationalised the 5 Cs at scale: Character is approximated by 6 months of M-Pesa transaction history; Capacity is approximated by inflow patterns; Capital and Collateral don't apply at small ticket sizes; Conditions is replaced by a population-level scoring model. The 5 Cs become an algorithm — but the underlying questions are unchanged.

Exercise

A first-time entrepreneur in Nairobi applies to your SACCO for a KES 2m business loan. They have: (a) no business track record; (b) good salaried-employee credit history at their previous job; (c) KES 500k savings in the SACCO (15-year member); (d) two willing guarantors with strong deposits; (e) industry is restaurant — high failure rate. Score the 5 Cs and recommend.