OD/CC Utilisation Analysis: Key Risk Indicators in Credit Facility Usage
A business applies for a ₹50 lakh term loan. Their overdraft account shows a ₹20 lakh sanction limit with 45% average utilisation. Looks reasonable, right?
But examine the pattern month-on-month. They’ve exceeded their sanction limit 12 times in the past year, with 87 overdrawn days total. What seemed moderate is actually consistently maxing out credit and operating beyond approved limits.
Overdraft and Credit Card Accounts (OD/CC) accounts reveal borrowing behaviour that credit bureau reports miss. Usage patterns predict repayment capability more accurately than static limits. This article covers the specific metrics that matter, which patterns indicate risk, and how to interpret utilisation data for better credit decisions.
Understanding OD/CC Facilities: Why They Matter
OD/CC accounts show real-time liquidity management behaviour. Unlike term loans with one-time borrowing, these facilities reveal how businesses handle cash flow gaps, their dependency on borrowed funds for operations, and their discipline in staying within approved limits.
A business might service term loan EMIs on time whilst their OD account tells a different story—operating at 95% utilisation for months, exceeding limits regularly, showing no recovery cycles.
For DSAs, these patterns affectloan approval speed and rejection rates. For banks and NBFCs, they improve default prediction accuracy and for chartered accountants and forensic auditors, OD/CC usage indicates financial health and liquidity stress before balance sheets reflect trouble.
The question isn’t whether an OD facility exists. It’s how that facility is being used.
4 Key Risk Indicators in OD/CC Utilisation Analysis
1. Average Utilisation Percentage
Calculate this as (Average daily balance drawn / Sanction limit) × 100 over 6-12 months.
- Under 40%: Healthy buffer. Facility used for temporary gaps, not permanent funding.
- 40-70%: Moderate dependency. Check whether this percentage is stable or climbing.
- Above 70%: High dependency with limited flexibility. Heavy reliance on borrowed funds.
- 95-100% consistently: Operating at capacity. Liquidity stress with no room for unexpected expenses.
Consider two businesses with ₹10 lakh OD limits.
- Business A maintains 35% average utilisation, peaking at 60% for 3-4 days monthly.
- Business B sits at 85% average, rarely dropping below 75%.
Business B has far less capacity to absorb revenue delays or unexpected costs.
2. Maximum Utilisation
Track the highest balance drawn and how often the account hits maximum usage. Multiple instances of 100% utilisation aren’t one-off emergencies—they’re a pattern. When the facility stays maxed out more days than not, or peaks occur consistently at month-end, that’s a red flag.
Precisa’s OD/CC analysis dashboard highlights these maximum utilisation instances automatically, showing both frequency and amounts involved, so you can assess whether peaks represent operational cycles or chronic stress.
3. Overdrawn Days
This measures the days when the drawn amount exceeds the sanction limit. Even one instance shows planning gaps. Repeated breaches indicate systematic liquidity problems. Ten or more overdrawn days annually warrants deeper investigation into why the business consistently operates beyond approved limits.
4. Sanction Limit Breaches
Count matters, but so does the pattern. How many times were limits exceeded? By what amounts—₹5,000 overage versus ₹2 lakh overage? Are breaches clustered around certain months (seasonal) or scattered throughout (chronic issue)?
Precisa’s bank statement analyser automatically tracks these metrics across multiple months, flagging patterns that manual review might miss. When processing dozens of applications, this automation ensures no critical signal gets overlooked.
4 Usage Patterns That Indicate Risk
1. Consistently High Utilisation with No Recovery Periods
When OD balance stays above 80% of the sanction limit continuously with no meaningful reductions, the facility has become permanent capital. This signals operations don’t generate enough cash to reduce dependency—declining revenues, rising costs, or both.
2. Volatile Swings Between Extremes
Sharp drops from 95% to 10% utilisation, then back within days, indicate instability. Balance swings of 50%+ within a month suggest either lumpy revenue streams or possible circular transactions. This volatility makes cash flow behaviour unpredictable.
Precisa detects these volatile patterns by tracking daily balance movements and flagging accounts with swings exceeding 50% within 30-day windows—something impossible to spot consistently through manual review.
3. Limit Exceeded on Payment Due Dates
When overdrawn instances coincide with GST payment dates, salary dates, or EMI due dates, and this repeats monthly, the business uses OD to meet regular commitments. It has insufficient operating cash flow, creating high risk if OD access gets restricted.
4. Increasing Dependency Over Time
Average utilisation was 40% twelve months ago; it now sits at 75%. The trend is gradual but consistent upward. Even when sanction limits increase, utilisation percentage stays high. Growth is debt-fuelled rather than revenue-fuelled, weakening repayment capacity.
What Healthy OD/CC Usage Looks Like
- Moderate average utilisation (30-50%): Facility serves as a buffer, not primary funding. Business has operational cash flow.
- Clear recovery cycles: Balance gets drawn, then paid back regularly. Cash inflows reduce dependency periodically.
- Minimal limit breaches: Business stays within the approved sanction. Any breaches are one-off events corrected quickly.
- Declining dependency over time: Average utilisation percentage decreases year-on-year. Business builds retained earnings.
Context matters. Manufacturing businesses may show higher seasonal usage when building inventory. Service businesses should show lower average utilisation. But these fundamental principles hold across sectors.
How Lenders Apply OD/CC Utilisation Analysis
OD/CC utilisation analysis combines with other data to paint a complete picture. High FOIR (Fixed Obligation to Income Ratio) alongside high OD utilisation shows compounded risk. The borrower has substantial EMI obligations and maxes out working capital facilities.
For salaried applicants with OD facilities, cross-referencing salary credits against OD usage reveals cash flow stress. If someone draws their OD immediately after salary credit and stays at high utilisation throughout the month, they’re living beyond their means.
This impacts loan structuring: lower approved amounts, adjusted EMI sizing, and risk-based interest rates. Certain patterns stop approvals entirely—OD utilisation above 85% consistently, more than 15-20 overdrawn days annually, increasing dependency trends over 6+ months, or volatile swings indicating instability.
Precisa’s bank statement analyser presents OD/CC utilisation alongside cash flow analysis, loan obligations, and other risk indicators in one dashboard. This integrated view particularly benefits DSAs processing multiple applications, where speed and accuracy determine success rates. One leading DSA reduced processing time from 2 hours per application to 30 minutes whilst improving approval quality.
The Pattern to Back
Don’t just note that an OD facility exists. Examine how it’s being used. A ₹10 lakh limit with 90% utilisation represents fundamentally different risk than 30% utilisation, even though exposure looks identical on paper.
Track average utilisation, maximum usage, overdrawn days, and limit breaches over 6-12 months to see the real story. Businesses that stay within limits, show regular recovery cycles, and gradually reduce dependency have sustainable operations. Those are the patterns worth backing. Curious how many OD/CC red flags exist in your current pipeline?
