Credit Analysis Explained: How Lenders Evaluate

ARTICLE BEGINS

Credit Analysis Explained: How Lenders Evaluate Businesses

Introduction: Why Credit Analysis Matters

A manufacturer asks a bank for a ₹5 crore term loan. Its revenue has grown about 19% a year, its income statement shows a profit, and the promoter is confident that a new production line will push growth higher. Should the bank approve?

Not on that evidence alone. Revenue shows how much the business sold, not how much cash remains after suppliers, taxes, inventory, equipment and existing lenders have been paid. Profit is an accounting measure that can be positive while the bank balance shrinks. A fast-growing company can even run out of cash precisely because it is growing, since receivables and inventory absorb money before customers pay.

The lender’s real question is narrower and harder: can this borrower repay principal and interest on time, even if business conditions deteriorate? Answering it is the purpose of credit analysis. This guide from ValuFlash’s finance guides walks through business credit analysis the way lenders practise it: the process, the Five Cs, financial statements, key financial ratios, DSCR calculation, qualitative risks, warning signs, collateral, and a complete fictional ₹5 crore case study. It also shows how to build a simple model in Excel and how to start a career as a credit analyst.

Short answer: Credit analysis is the structured evaluation of a borrower’s ability and willingness to repay debt. Lenders test repayment capacity from cash flow, check leverage and liquidity, judge management and industry risk, and then decide whether to lend, on what terms, and with what safeguards.

Scope note: Lending practice differs by country, regulator, lender and facility type. Where this article refers to Indian practice or international practice, it says so. Nothing here describes the policy of any specific bank, and all case-study figures are illustrative.

What Is Credit Analysis?

Plain-English definition

Credit analysis answers one question: if we lend this business money, how likely are we to get it back with interest, and what happens if we do not?

Professional definition

Credit analysis is the process of assessing a borrower’s creditworthiness by examining its historical and projected financial performance, cash-flow-based repayment capacity, leverage and liquidity, qualitative business and management factors, collateral and structural protections, and its sensitivity to adverse scenarios, in order to support a lending decision, loan pricing, risk classification and ongoing monitoring.

How credit analysis differs from related terms

These terms overlap and are often used loosely, but they are not identical.

• Credit analysis: the analytical work on a specific borrower: financials, cash flows, ratios, business risk and structure.
• Credit risk assessment: the broader judgment of the likelihood of default and the likely loss. Credit analysis is the main input; portfolio concentration and market conditions also matter.
• Credit scoring: a statistical or rules-based score, common for individuals and small loans, that summarises credit behaviour into a number.
• Corporate credit rating: an opinion on creditworthiness, published by an external rating agency or assigned internally by a bank.
• Financial statement analysis: the study of income statements, balance sheets and cash flows. It is a core tool within credit analysis, but it does not by itself include collateral, covenants or loan structuring.
• Loan underwriting: the full process of evaluating, structuring, approving and documenting a loan. Credit analysis feeds underwriting.

Who performs credit analysis and when

Credit analysts, relationship managers and credit officers at banks and non-banking lenders perform it, as do credit-risk teams at fund managers, trade-credit insurers and rating agencies. Corporate treasury and finance teams also run it on their own customers before granting generous payment terms. It is used at origination, at annual review, when a borrower asks for an enhancement or restructuring, and whenever early-warning signals appear.

Why Banks and Lenders Analyze Borrowers

Lenders earn a limited return (interest and fees) but can lose the entire principal, so the analysis is built around downside protection. It serves several linked purposes:

• Repayment capacity: confirming that sustainable cash flow can cover scheduled payments.
• Probability of default: estimating how likely it is that the borrower will miss payments, which drives the internal risk grade.
• Loss prevention: screening out borrowers whose risk cannot be mitigated at acceptable cost.
• Loan pricing: riskier borrowers are typically charged more, so analysis informs the interest rate and fees.
• Collateral requirements: the weaker the cash-flow case, the more a lender may look for security, though security is a secondary source of repayment.
• Loan structure: tenor, repayment schedule, moratorium, limits and covenants are tailored to the borrower’s cash-flow pattern.
• Ongoing monitoring: the analysis sets the baseline against which later performance is compared.

Borrowers benefit too. A well-run analysis prevents a company from taking on debt it cannot service, produces a repayment schedule that fits its cash cycle, and often reveals weaknesses, such as stretched receivables or customer dependence, that management should fix anyway. Businesses that understand how lenders think also prepare better applications and negotiate better terms.

The Credit Analysis Process: Step by Step

The sequence below is typical, but the actual process varies by lender, borrower type, jurisdiction and facility. A working-capital limit for a trader is assessed differently from a project loan for a manufacturer. At a high level, international guidance such as the Basel Committee’s Principles for the Management of Credit Risk organises sound practice around a suitable credit risk environment, a sound credit-granting process, appropriate credit administration, measurement and monitoring, and adequate controls. In India, the Reserve Bank’s Commercial Banks – Credit Risk Management Directions, 2025 include a chapter on credit risk evaluation, while each bank’s board-approved policy sets its detailed appraisal norms.

1. Loan application and purpose. What is the amount, the use of funds (machinery, working capital, acquisition), and the intended source of repayment? A loan whose purpose does not generate cash, or is vague, is a warning in itself.
2. Borrower and business background. Ownership, legal structure, promoters, group companies, operating history, products, customers and suppliers.
3. Financial statements and supporting documents. Audited accounts, tax filings, GST and bank statements, debt schedules, sanction letters of existing lenders, and management projections.
4. Historical performance analysis. Growth, margins, cost structure and earnings quality over several years, adjusted for one-off items.
5. Cash-flow and repayment assessment. The analyst builds projected cash flows and tests whether they cover all debt service. Techniques overlap with cash flow forecasting, but the lender focuses on shortfalls and stress rather than on a single expected outcome.
6. Credit ratios and risk indicators. DSCR, interest coverage, leverage, liquidity and working-capital metrics, compared with the borrower’s own history and peers.
7. Industry and management assessment. Cyclicality, competition, regulation, management track record, governance and reporting quality.
8. Collateral and guarantees, where relevant. Valuation, legal charge, enforceability and existing claims on the assets.
9. Credit rating or internal risk classification. The analyst assigns an internal grade that feeds pricing and approval authority.
10. Approval, rejection or revised terms. Outcomes are not binary: lenders often reduce the amount, lengthen the tenor, add a moratorium, require more promoter equity or tighten covenants.
11. Post-disbursement monitoring. Periodic financial reviews, covenant tests, stock and receivable statements, site visits and early-warning triggers.

The Five Cs of Credit

The Five Cs are a long-standing checklist that organises the quantitative and qualitative evidence.

Character

Character covers the borrower’s credibility, repayment history and management conduct: does the promoter honour commitments, disclose bad news early and keep accounts transparent? Example: a company that has serviced two earlier loans on schedule and whose auditor has never qualified its accounts has a stronger character profile than one that has repeatedly requested extensions without explanation.

Capacity

Capacity is the ability to repay from sustainable operating cash flow. It is the heart of credit analysis and is measured with DSCR and cash-flow projections. Example: a packaging company that generates ₹6.0 crore of cash available for debt service against ₹5.0 crore of annual obligations has demonstrable capacity, subject to stress testing.

Capital

Capital is the owners’ stake and the borrower’s loss-absorbing resources: equity, retained earnings and reserves. Example: when a promoter funds a third of a ₹7.5 crore machine purchase from own resources, the lender is less exposed and the owner has more to lose from failure.

Collateral

Collateral is the asset that may support recovery if repayment fails. It is a secondary source of repayment, not a substitute for cash flow. A collateral-rich but cash-poor borrower is still a risky borrower, because enforcement is slow, costly and uncertain, and forced-sale values are often well below book or market value. Specialised machinery, for instance, may fetch a fraction of cost in a distressed sale.

Conditions

Conditions include the loan purpose and terms, industry outlook, regulation and the economic environment. Example: a loan to expand capacity in an industry with falling demand and rising input costs carries more risk than the same loan in a stable, growing sector, even if the borrower’s own ratios are identical.

Financial Statements Used in Credit Analysis

Credit analysts read the financial statements together rather than in isolation. For a broader refresher on how these statements relate to money, profit, cash flow and debt, see ValuFlash’s finance fundamentals guide.

• Income statement: shows revenue, operating costs, EBITDA, depreciation, interest, tax and net profit. Analysts study margin trends, cost structure and the quality of earnings, and strip out one-offs such as asset-sale gains.
• Balance sheet: shows assets, liabilities and equity at a date. Analysts examine leverage, the composition and maturity of debt, receivables and inventory quality, and tangible net worth.
• Cash flow statement: shows how cash moved through operations, investing and financing. It is the most direct evidence of whether operations generate the money to repay lenders.
• Notes to accounts and debt disclosures: reveal borrowing terms, charges on assets, contingent liabilities, related-party transactions, accounting policies, litigation and subsequent events. Many red flags are found here, not in the headline numbers.
• Bank statements and debt repayment schedules, when available: verify actual cash movement, show repayment behaviour, reveal round-tripping or overdraft dependence, and confirm what is owed to whom and when.

How the statements work together

Profit from the income statement flows into equity on the balance sheet. Changes in receivables, inventory and payables on the balance sheet explain the gap between profit and operating cash in the cash flow statement. Borrowings on the balance sheet drive interest in the income statement and principal repayments in the financing section. A credit analyst checks that these links reconcile; when they do not, quality of reporting becomes a question.

Why profit is not repayment cash

Consider a business with net profit of ₹2.0 crore, depreciation of ₹0.5 crore (non-cash), a ₹1.8 crore increase in receivables and a ₹0.9 crore increase in inventory:

Operating cash flow = 2.0 + 0.5 − 1.8 − 0.9 = −₹0.2 crore

The company is profitable but generated negative operating cash before paying any scheduled principal. Loan repayments come from cash, not from accounting profit.

Key Credit Analysis Ratios and Formulas

Financial ratios compress large amounts of data into comparable measures. Definitions vary across lenders, so the table states the convention used throughout this article.

Metric	Formula	What it measures	How a lender interprets it
Debt Service Coverage Ratio (DSCR)	Cash flow available for debt service (CFADS) ÷ (scheduled principal + interest)	Ability to meet all scheduled debt payments from cash flow	Above 1.0x indicates modelled coverage; the cushion needed depends on volatility and structure
Interest Coverage Ratio	EBITDA ÷ interest expense (some lenders use EBIT)	Ability to pay interest from operating earnings	Falling coverage signals rising financial strain; it ignores principal repayments
Debt-to-Equity Ratio	Total borrowings ÷ shareholders’ equity (some lenders use tangible net worth)	Reliance on borrowed versus owner funds	Higher leverage means less loss-absorbing cushion
Total Debt-to-EBITDA	Total borrowings ÷ trailing-twelve-month EBITDA	Years of earnings needed to repay debt in theory	Judged against sector norms and earnings volatility
Current Ratio	Current assets ÷ current liabilities	Short-term liquidity	Depends on quality of receivables and inventory, not just the number
Quick Ratio	(Current assets − inventory) ÷ current liabilities	Liquidity excluding slow-moving stock	A stricter test, relevant for inventory-heavy firms
Operating Cash Flow	Net profit + non-cash charges ± changes in working capital (indirect method)	Cash generated by operations	Persistent gaps versus profit warrant investigation
Free Cash Flow (FCF)	Operating cash flow − capital expenditure (state whether interest is deducted)	Cash left after maintaining and expanding the asset base	Negative FCF may be fine for a funded expansion, but not if repeatedly debt-funded
Accounts Receivable Days	Trade receivables ÷ revenue × 365	Average time to collect from customers	Rising days suggest slower collections or looser credit terms
Inventory Days (where relevant)	Inventory ÷ cost of goods sold × 365	Average time stock is held	Rising days can indicate weak demand or obsolescence

Reading the ratios sensibly

Two cautions apply. First, DSCR numerator conventions vary by lender and model. Some use EBITDA, some use operating cash flow, some use net profit plus depreciation and interest. This article defines CFADS = EBITDA − cash taxes − increase in net working capital − maintenance capital expenditure and uses that in every worked example. For reference, the U.S. Small Business Administration’s Procedural Notice 5000-846607 defines DSCR as operating cash flow divided by debt service, with debt service meaning the future required principal and interest on all business debt, including the new loan. Different institutions use different numerators, so always state yours.

Second, there are no universal pass/fail thresholds. Lenders set minimums by sector, earnings volatility, loan structure, collateral and policy. A stable, contract-backed business may be acceptable at a lower DSCR than a cyclical exporter or a startup. Any threshold you see quoted in articles, including illustrative ones in this guide, is an example, not a rule.

Working-capital ratios deserve special attention because they bridge profit and cash. Receivable days, inventory days and payable days together describe the cash conversion cycle; the dynamics are explored in ValuFlash’s guide to working capital management. Analysts watch whether these days drift in the wrong direction while sales grow.

DSCR Explained With a Worked Example

What is DSCR? The Debt Service Coverage Ratio measures how many times a borrower’s cash flow available for debt service covers its scheduled principal and interest payments over a period. It is the central repayment-capacity metric in business credit analysis.

Formula: DSCR = CFADS ÷ Total debt service, where CFADS = EBITDA − cash taxes − increase in net working capital − maintenance capex, and total debt service = scheduled principal + interest for the same period.

Worked example: Meridian Packaging (fictional)

Assumptions (all figures in ₹ crore, one year, illustrative):

Item	Amount
EBITDA	8.0
Less: cash taxes	(1.0)
Less: increase in net working capital	(0.6)
Less: maintenance capex	(0.4)
CFADS	6.0
Scheduled principal repayments	3.2
Interest payments	1.8
Total debt service	5.0

CFADS = 8.0 − 1.0 − 0.6 − 0.4 = ₹6.0 crore

Total debt service = 3.2 + 1.8 = ₹5.0 crore

DSCR = 6.0 ÷ 5.0 = 1.20x

For every ₹1 of scheduled debt service, the business generates ₹1.20 of cash available to pay it. Using a different convention changes the answer: EBITDA ÷ debt service would give 8.0 ÷ 5.0 = 1.60x, which overstates coverage because it ignores taxes, working capital and capex. This is why you must always ask which numerator is used.

What different DSCR levels mean

• Above 1.0x: modelled cash flow exceeds scheduled debt service. The excess is the cushion that absorbs shocks. It is not a guarantee of repayment or automatic approval, since forecasts can be wrong and the cash may be needed elsewhere.
• Equal to 1.0x: every rupee of available cash goes to lenders. There is no cushion; a small revenue dip or cost increase causes a shortfall.
• Below 1.0x: the business cannot meet scheduled payments from operating cash flow. Unless it has reserves, undrawn facilities or equity support, it must borrow, sell assets or default. If CFADS in the example fell to ₹4.0 crore, DSCR would be 4.0 ÷ 5.0 = 0.80x, a ₹1.0 crore shortfall.

The margin of safety above 1.0x that a lender requires depends on the stability of cash flow, the loan structure and policy, which is why lenders stress-test the ratio instead of relying on a single figure.

Credit Analysis vs. Credit Score vs. Credit Rating

Aspect	Credit analysis	Credit score	Credit rating
What it is	Detailed, judgment-based evaluation of a specific borrower and loan	Numerical summary of credit behaviour, typically from bureau data and statistical models	A letter-grade opinion on creditworthiness or on a specific debt instrument
Typical subject	Businesses, projects, facilities	Individuals and, in some markets, small businesses	Companies, governments, bonds and loans
Main inputs	Financial statements, cash flows, ratios, management, industry, collateral	Repayment history, outstanding credit, enquiries and similar data	Financial and business risk analysis, plus qualitative factors
Who produces it	The lender’s credit team	Credit bureaus or lenders’ scorecards	External rating agencies, or the bank’s internal rating system
Output	Approve, decline or restructure, with terms and covenants	A score used in screening and pricing	A rating grade used by investors, regulators and lenders

A consumer credit score describes an individual’s borrowing behaviour. It is not the same as a business credit assessment, although a promoter’s personal credit history can feed into judgments about character. Internal bank ratings and external agency ratings are not interchangeable. An internal rating reflects one bank’s methodology, data and risk appetite; an external rating comes from an agency with its own criteria and rating scale. A lender may use an external rating as one input, but it still runs its own analysis. In India, businesses may also encounter commercial credit reports from credit information companies, which are one more data point rather than a replacement for appraisal.

Qualitative Credit Analysis

Ratios describe the past and rely on the accuracy of the accounts. Qualitative analysis asks whether the numbers are likely to hold. Key areas include:

• Management experience and governance: track record through cycles, succession planning, board oversight and the quality of internal controls.
• Customer concentration: a business that depends on one buyer for a large share of revenue can lose its repayment capacity with one lost contract.
• Supplier dependence: reliance on a single or imported source can disrupt production and margins.
• Industry competition: pricing power, entry barriers and the risk of commoditisation.
• Regulatory exposure: licensing, environmental norms, tariff or policy changes.
• Business model resilience: how earnings behave when demand, input prices or exchange rates move.
• Litigation or contingent liabilities, where disclosed: guarantees given for group companies, tax disputes and pending claims can become real liabilities.
• Related-party transactions: transfers to or from promoter entities can drain cash or flatter revenue.
• Financial reporting quality: audit opinions, timeliness, consistency of accounting policies and reconciliation with bank statements.
• Dependence on a few key contracts or customers: especially when contracts are short-term or renewable at the buyer’s discretion.

When good ratios still hide substantial risk

A contract manufacturer may show a DSCR of 1.6x and low leverage, yet derive 70% of revenue from one customer on a contract expiring next year. A trading company may show a strong current ratio because of large receivables that are owed by related parties. A software firm may report rising profits because it capitalised development costs that peers expense. In each case, the ratios look attractive while the underlying risk is high. Qualitative judgment either confirms the ratios or overrides them.

Warning Signs That May Indicate Credit Risk

Red flags are prompts for investigation, not proof of fraud or default. Analysts ask what could explain each signal innocently, and what evidence would settle it.

• Revenue increasing while operating cash flow deteriorates: may reflect aggressive credit terms, inventory build-up or premature revenue recognition. Check receivable ageing and customer-level collections.
• Receivables growing faster than sales: may signal slower collections, disputed invoices or channel stuffing. Compare receivable days over several periods and review subsequent cash receipts.
• Repeated loan extensions or delayed repayments: suggests liquidity stress. Review bank conduct, overdue history and the stated reasons.
• High customer concentration: raises dependency risk. Examine contract terms, the customer’s own credit quality and switching costs.
• Declining interest coverage: may stem from rising rates, rising debt or falling earnings; diagnose which.
• Excessive short-term borrowing: funding long-term assets with short-term debt creates refinancing risk. Match the maturity profile of assets and liabilities.
• Frequent changes in accounting assumptions: may flatter earnings. Review policy notes and the auditor’s comments.
• Unexplained related-party transactions: require documentation of commercial rationale and pricing.
• Unfunded expansion plans: projects without committed financing may later draw on working capital. Ask how every rupee of the project cost is funded.
• Large upcoming debt maturities: a “wall” of repayments can overwhelm cash flow. Build a maturity ladder and check refinancing assumptions.

A sound approach is to cluster signals. One isolated flag, such as a modest rise in receivable days after a large sale to a government buyer, is usually explainable. Several flags together, rising receivables, growing short-term debt and related-party loans, warrant deeper scrutiny, additional covenants or a decision to defer.

Collateral, Guarantees, and Loan Covenants

Collateral

Collateral gives the lender a claim on assets if the borrower defaults. Its purpose is to improve recovery and align the borrower’s incentives, not to replace repayment capacity. Its limitations are practical:

• Valuation: market value on a valuer’s report differs from the price achievable in a forced sale.
• Enforceability: the legal charge must be properly created and registered, and enforcement depends on applicable law and the courts or recovery mechanisms available. In India, secured creditors may have statutory enforcement routes, but outcomes and timelines vary by case.
• Liquidity: land in a prime location sells more easily than specialised machinery or old inventory.
• Existing liens: assets already pledged to another lender may offer only a second or subordinate claim.
• Recovery uncertainty: costs, delays, disputes and asset deterioration reduce what is ultimately recovered.

Guarantees

Personal or corporate guarantees add a second obligor, but their value depends on the guarantor’s own financial strength, its other commitments, and the legal enforceability of the guarantee. A guarantee from a thinly capitalised group company is worth less than it appears. Government-backed guarantee schemes for small borrowers exist in some jurisdictions; eligibility and terms change, so verify current rules with the scheme operator.

Financial covenants

Covenants are contractual conditions in the loan agreement. Financial covenants might require a minimum DSCR, a maximum debt-to-EBITDA, a minimum current ratio or limits on dividends and additional borrowing. Their value is as an early-warning system: a covenant breach lets the lender engage with the borrower before cash actually runs out. Exact covenant terms, testing dates, cure periods and remedies depend on the loan agreement and applicable law, so they must be read in the documentation, not assumed.

Credit Risk in Different Types of Businesses

The same ratio can mean different things in different models.

Business type	Key considerations	Why ratios differ
SMEs	Dependence on promoter, limited financial disclosure, thin liquidity, informal accounting, concentrated customers	Lenders lean on bank statements, GST data, promoter track record and security; a modest DSCR may be tolerable with strong conduct and guarantees
Startups with limited history	Few or no audited years, negative cash flow, reliance on equity funding	Historical ratios are meaningless; lenders examine runway, investor backing, unit economics and milestones, often lending only with structural support
Manufacturing	Capital-intensive, working-capital heavy, cyclical demand, input-price exposure	Higher leverage and longer tenors are normal, but inventory days and capacity utilisation matter
Retail and trading	Thin margins, high inventory and payables, seasonal demand, supplier credit	Liquidity and inventory quality matter more than EBITDA; low margins magnify the impact of small shocks
SaaS and subscription	Recurring revenue, high gross margins, little collateral, churn risk	Lenders look at recurring-revenue quality, customer retention and cash burn rather than fixed assets
Seasonal businesses	Revenue and cash flow concentrated in a few months	Annual DSCR can mislead; repayment schedules and limits should follow the seasonal cash cycle

A current ratio of 1.2x may be comfortable for a retailer with fast-moving stock and long supplier credit, but worrying for a manufacturer with slow-moving inventory. A negative free cash flow can be healthy for a funded expansion and alarming for a mature business. Context is the analyst’s job.

Complete Worked Case Study: Should a Bank Approve a ₹5 Crore Loan?

Everything in this case study is fictional and illustrative. The company, figures, interest rates and decision are invented to demonstrate method. They do not represent a real bank’s decision, policy or an official underwriting standard.

Business overview and loan purpose

Kaveri Auto Components Pvt. Ltd. is a Pune-based, promoter-managed manufacturer of machined components for automotive customers. It requests a ₹5 crore term loan to part-fund a ₹7.5 crore new CNC machining line. The promoters will contribute the remaining ₹2.5 crore (one-third of project cost) from internal resources.

Three-year summarised performance (₹ crore)

Item	FY2024	FY2025	FY2026
Revenue	62.0	74.0	88.0
EBITDA	7.4	9.6	11.4
EBITDA margin	11.9%	13.0%	13.0%
Interest expense	1.9	2.3	2.6
Total debt (year-end)	20.5	23.0	26.0
Cash taxes	0.9	1.3	1.6
Increase in net working capital	1.4	2.0	2.8
Operating cash flow before interest (EBITDA − tax − ΔNWC)	5.1	6.3	7.0
Maintenance capex	0.8	0.9	1.0
CFADS (OCF before interest − maintenance capex)	4.3	5.4	6.0
Trade receivables (year-end)	11.4	15.0	19.0
Receivable days	67	74	79

Two trends stand out. Revenue grew 19.4% in FY2025 and 18.9% in FY2026, and EBITDA margins held at 13.0%. But receivables grew faster than sales (31.6% and 26.7%), receivable days rose from 67 to 79, and operating cash flow before interest fell from 69% of EBITDA in FY2024 to 61% in FY2026 (5.1 ÷ 7.4 and 7.0 ÷ 11.4). Growth is consuming cash.

Existing debt obligations and the proposed loan

At the start of FY2027 the company has ₹26.0 crore of debt:

• Existing term loan: ₹12.0 crore outstanding, 10.0% interest on opening balance, repayable in equal annual principal instalments of ₹2.4 crore (five years remaining).
• Working-capital cash credit: ₹14.0 crore drawn at 10.5%, renewed annually, no scheduled principal repayment.
• Proposed new term loan: ₹5.0 crore, five years, equal annual principal instalments of ₹1.0 crore, assumed interest rate 10.5% on the opening balance. All rates are assumed floating and illustrative.

FY2027 debt service on the proposed structure (₹ crore)

Component	Principal	Interest	Total
Existing term loan (12.0 × 10.0% = 1.20)	2.40	1.20	3.60
Working-capital cash credit (14.0 × 10.5% = 1.47)	0.00	1.47	1.47
Proposed term loan (5.0 × 10.5% = 0.525)	1.00	0.525	1.525
Total	3.40	3.195	6.595

Note that total interest (₹3.195 crore) is not total debt service (₹6.595 crore). Confusing the two would understate the burden by more than half.

Base-case projection and ratios

Base-case FY2027 assumptions: revenue of about ₹100 crore, EBITDA ₹12.5 crore, cash taxes ₹1.7 crore, working-capital build of ₹2.5 crore, maintenance capex ₹1.0 crore. (The new line’s growth capex is financed separately by the loan and promoter equity and is excluded from CFADS.)

CFADS = 12.5 − 1.7 − 2.5 − 1.0 = ₹7.3 crore

DSCR = 7.3 ÷ 6.595 = 1.11x

Interest coverage = 12.5 ÷ 3.195 = 3.91x

For comparison, on FY2026 actuals, CFADS of ₹6.0 crore against debt service of ₹5.0 crore (principal ₹2.4 crore plus interest ₹2.6 crore) gives a pre-loan DSCR of 1.20x. The new loan would lower coverage even in the base case.

Liquidity and leverage analysis

Illustrative FY2026 balance sheet items (₹ crore): cash 3.0, receivables 19.0, inventory 12.0 (current assets 34.0); working-capital borrowings 14.0, trade payables 8.0, current portion of term loan 2.4 (current liabilities 24.4). Cost of goods sold is ₹66.0 crore, and tangible net worth is ₹30.0 crore.

• Current ratio = 34.0 ÷ 24.4 = 1.39x
• Quick ratio = (34.0 − 12.0) ÷ 24.4 = 0.90x
• Inventory days = 12.0 ÷ 66.0 × 365 = 66 days
• Receivable days = 19.0 ÷ 88.0 × 365 = 79 days
• Debt-to-equity before the loan = 26.0 ÷ 30.0 = 0.87x; after = 31.0 ÷ 30.0 = 1.03x
• Total debt-to-EBITDA before the loan = 26.0 ÷ 11.4 = 2.28x; after, on FY2026 EBITDA = 31.0 ÷ 11.4 = 2.72x; on base-case FY2027 EBITDA = 31.0 ÷ 12.5 = 2.48x

Leverage is moderate. The weaker points are the quick ratio below 1.0x and the lengthening collection period.

Management, industry and customer-concentration risks

• Management: second-generation promoters with a decade of operating history and clean repayment conduct with existing lenders (assumed). Finance function is small; monthly MIS is limited.
• Industry: automotive component demand is cyclical and linked to OEM production schedules; raw-material prices (steel, aluminium) can compress margins.
• Customer concentration: the largest OEM customer provides 46% of revenue and the top three provide 71%. Contracts are annual price agreements without volume guarantees. The growth in receivables may relate to extended terms given to large buyers, which the analyst must verify.

Collateral considerations

• New machinery (cost ₹7.5 crore): primary security by hypothecation. Assuming a forced-sale value of 50% of cost, recovery would be about ₹3.75 crore, below the ₹5 crore loan.
• Factory land and building (assumed market value ₹18 crore): already mortgaged to the existing term lender. The new lender could obtain only a second charge, subject to consent, and its recovery would rank behind the first lender.
• Guarantees: personal guarantees from the promoters, whose net worth outside the business would need verification.

Collateral therefore reduces, but does not remove, loss exposure. It cannot compensate for a thin DSCR.

Base-case versus downside-case repayment analysis

Downside assumptions: EBITDA falls to ₹11.0 crore (about 12% below base, from lower volumes and margin pressure), cash taxes fall to ₹1.2 crore, collections slow so that working-capital build rises to ₹3.0 crore, maintenance capex stays at ₹1.0 crore, and rates rise by 100 basis points on all floating debt.

Downside interest: existing term loan 12.0 × 11.0% = 1.32; cash credit 14.0 × 11.5% = 1.61; new loan 5.0 × 11.5% = 0.575; total 3.505. Principal remains 3.40. Debt service = 3.505 + 3.40 = ₹6.905 crore.

CFADS (downside) = 11.0 − 1.2 − 3.0 − 1.0 = ₹5.8 crore

Scenario	CFADS	Debt service	DSCR	Interest coverage
Base, as proposed	7.30	6.595	1.11x	3.91x
Downside, as proposed	5.80	6.905	0.84x	3.14x

Under the downside case, interest coverage still looks acceptable at 3.14x, yet DSCR is 0.84x and cash falls short by about ₹1.1 crore (6.905 − 5.8). This is the reason lenders look at DSCR and not only at interest coverage: the principal repayments are what the downside breaks. The company’s ₹3.0 crore of cash could cover that gap for one year, but not repeatedly.

Illustrative credit recommendation: approve with conditions, on a restructured basis

As proposed, a 1.11x base-case DSCR and 0.84x downside DSCR leave little cushion. An illustrative credit officer would not approve the five-year, equal-principal structure unchanged. A restructured proposal could be approvable:

• Tenor and moratorium: seven years with a 12-month principal moratorium (interest-only in year one), then equal principal instalments of ₹5.0 ÷ 6 = ₹0.833 crore.
• Equity first: promoters’ ₹2.5 crore contribution must be invested before the first disbursement.
• Security: first charge on the new machinery; second charge on the land, subject to the existing lender’s consent; promoter guarantees.
• Covenants (illustrative): minimum DSCR tested annually, a limit on receivable days, restrictions on dividends and promoter withdrawals, and quarterly submission of receivable ageing and stock statements.

Restructured FY2027 debt service: existing term loan 3.60 + cash credit 1.47 + new loan interest only 0.525 = ₹5.595 crore.

• Base DSCR = 7.3 ÷ 5.595 = 1.30x
• Downside DSCR: debt service = principal 2.40 + interest 3.505 = 5.905; 5.8 ÷ 5.905 = 0.98x

The restructured case is close to break-even under stress, and the company’s cash would cover the small gap. However, principal on the new loan starts in FY2028, so the analyst must extend the projections across the whole tenor and confirm that coverage does not tighten when repayments begin.

What could change the decision:

• Toward approval: a signed multi-year supply contract with the largest customer, evidence that receivable growth is a timing issue, and a customer-level ageing report showing collections.
• Toward deferral: if the receivables cannot be verified, if the largest customer is reducing orders, or if the existing lender will not consent to a second charge.
• Toward rejection: if downside DSCR remains well below 1.0x after restructuring, or if reporting quality does not reconcile to bank statements.

How to Build a Basic Credit Analysis Model in Excel

A beginner-friendly model needs eight sections. For deeper modelling mechanics, see ValuFlash’s financial modeling guide; this section stays focused on repayment capacity.

1. Borrower overview: name, sector, loan purpose, amount requested, date.
2. Historical financials: three to five years of revenue, EBITDA, interest, taxes, working capital, capex, debt.
3. Existing debt schedule: each facility, balance, rate, scheduled principal and maturity.
4. Proposed loan assumptions: amount, rate, tenor, moratorium, repayment pattern.
5. Debt service calculation: principal and interest for each year, by facility.
6. Credit ratio dashboard: DSCR, interest coverage, leverage, liquidity, receivable days.
7. Base and downside scenarios: the same model run with different inputs.
8. Risk assessment and recommendation: qualitative scoring, conditions, conclusion.

Example cell layout and formulas

Assume a sheet named Model with one column of base-case inputs in column B for a single year (cell references are assumptions for this example):

Cell	Item	Example value	Formula / note
B3	EBITDA	12.5	Input
B4	Cash taxes	1.7	Input
B5	Increase in net working capital	2.5	Input
B6	Maintenance capex	1.0	Input
B7	CFADS	7.3	=B3-B4-B5-B6
B9	Existing term loan principal due	2.4	Input
B10	Existing term loan interest	1.2	=12*10% (or link to schedule)
B11	Cash credit interest	1.47	=14*10.5%
B12	New loan principal due	1.0	=D3/D5
B13	New loan interest	0.525	=D3*D4
B14	Total debt service	6.595	=SUM(B9:B13)
B16	DSCR	1.11x	=B7/B14
B17	Interest coverage	3.91x	=B3/(B10+B11+B13)
B19	Total debt	31.0	Input (after new loan)
B20	Shareholders’ equity	30.0	Input
B21	Debt-to-equity	1.03x	=B19/B20
B23	Current assets	34.0	Input
B24	Current liabilities	24.4	Input
B25	Current ratio	1.39x	=B23/B24

Loan assumptions sit in D3 (amount, 5.0), D4 (rate, 10.5%) and D5 (principal instalments, 5). For loans repaid in equal monthly instalments instead, use =-PMT(rate/12, years*12, loan)*12 for annual payments and IPMT and PPMT to split interest and principal. Wrap ratios in IFERROR to avoid divide-by-zero errors.

Stress-testing the model

Create a scenario sheet with adjustable inputs and link the model to it:

• Lower revenue: stressed revenue = base revenue × (1 + shock), for example −10%.
• Margin compression: stressed EBITDA = stressed revenue × (base margin − margin cut).
• Higher interest costs: add a rate shock (for example +1.00%) to each floating-rate facility.
• Slower collections: stressed receivables = stressed revenue × receivable days ÷ 365; the extra receivable balance becomes a larger working-capital build, which reduces CFADS.

Add a scenario selector (data validation list) and use CHOOSE or INDEX to switch inputs, so the DSCR dashboard shows base and downside side by side. A useful extension is a break-even test: how far can EBITDA fall before DSCR reaches 1.0x?

Credit Analysis vs. Financial Modeling vs. FP&A

These disciplines use similar tools but answer different questions.

• Credit analysis asks whether a borrower can repay debt, how likely default is, and what protection the lender needs. Its output is a credit memo, risk rating and recommendation on loan terms. It is conservative and downside-focused.
• Financial modeling builds a structured, driver-based representation of a business or transaction, used for valuation, fundraising, M&A or planning. A credit model is one type, with debt service at its center.
• FP&A (financial planning and analysis) supports management inside a company through budgets, forecasts, variance analysis and performance reporting. Its output is decision support for operations.

An FP&A forecast might be optimistic to motivate management; a credit analyst will haircut it. A company’s finance team that understands the lender’s lens can build forecasts that survive credit review.

How to Become a Credit Analyst

• Education and accounting foundation: degrees in commerce, finance, economics or business are common starting points, along with strong accounting. Professional qualifications such as CA, CFA or FRM, or an MBA in finance, are common in the field but requirements vary by employer.
• Financial statement interpretation: practise reading annual reports, spotting earnings-quality issues and tracing links between statements.
• Excel and financial modeling: build debt-schedule and DSCR models and learn scenario analysis.
• Credit memo writing: a memo summarises the request, risks, mitigants, financial analysis and recommendation. Clear, concise writing is a core skill.
• Industry research and risk judgment: learn to assess sector cycles, competition and regulation, and to form a view when data conflicts.
• Entry-level roles and progression: typical entry points include credit analyst or associate roles in banks, NBFCs, rating agencies or credit-risk teams, progressing to senior analyst, credit manager, portfolio or relationship roles. Paths and timelines vary by organisation and market.
• Interview preparation: be ready to compute DSCR and leverage on the spot, walk through a credit decision, explain why a profitable business may be declined and discuss red flags.
• Portfolio projects: write a credit memo on a listed company using public annual reports, build an Excel model with base and downside cases, and compare two companies in one sector.

Outcomes depend on market conditions, employer and individual performance; there are no guaranteed results.

Common Credit Analysis Mistakes

• Overreliance on collateral: assuming security makes a weak cash-flow case safe, despite valuation, enforcement and timing risk.
• Ignoring cash flow: judging by profit or EBITDA without checking working capital, taxes, capex and debt service.
• Using stale financial data: relying on old audited accounts when interim results, bank statements or new debts tell a different story.
• Misreading one-off earnings: treating asset-sale gains, subsidies or exceptional contracts as recurring.
• Overlooking contingent liabilities: guarantees, disputes and off-balance-sheet commitments.
• Applying identical thresholds to every industry: a ratio that is comfortable for one sector may be inadequate for another.
• Accepting optimistic management forecasts: failing to stress-test growth, margins, collections and interest rates.

Frequently Asked Questions

What is credit analysis in simple terms?

It is the process lenders use to judge whether a borrower can repay a loan. They examine financial statements, cash flow, existing debt, the business and its management, and any security offered.

How do banks evaluate a business loan?

Typically by reviewing the purpose and amount, financial statements and bank records, computing ratios such as DSCR, interest coverage and leverage, assessing industry and management risk, testing downside scenarios, considering collateral and guarantees, and assigning a risk grade before deciding on approval and terms. Details vary by lender.

What is a good DSCR?

There is no single answer. A DSCR above 1.0x means modelled cash flow exceeds scheduled debt service, and lenders usually want a cushion above that. The level depends on sector, earnings stability, loan structure and lender policy, so treat any quoted number as an example.

Can a profitable company still be rejected for a loan?

Yes. Profit does not guarantee cash. A company may have weak operating cash flow, stretched receivables, high existing debt, concentrated customers, poor reporting quality or a repayment schedule that does not fit its cash cycle.

What is the difference between credit analysis and credit scoring?

Credit analysis is a detailed, judgment-based assessment of a specific borrower and loan, usually for businesses. Credit scoring is a statistical summary of credit behaviour, usually for individuals or small loans, expressed as a number.

Which financial ratios matter most to lenders?

DSCR is central, supported by interest coverage, debt-to-equity, total debt-to-EBITDA, current and quick ratios, operating cash flow, free cash flow and receivable and inventory days. Which matter most depends on the business model.

Is collateral enough to secure a loan?

No. Collateral is a backup source of repayment. Its value in a default depends on valuation, liquidity, legal enforceability, prior claims and recovery costs. Lenders still need repayment capacity from cash flow.

How can someone learn credit analysis?

Learn accounting and financial statement analysis, practise computing ratios and DSCR in Excel, read public annual reports and credit-risk guidance, write credit memos on real companies, and seek entry-level roles or internships in lending, credit risk or rating.

Conclusion

Credit analysis is, at its core, a test of whether a borrower can repay when things go well and when they do not. That requires evidence from cash flow rather than headlines about revenue or profit, judgment about the business behind the numbers, and loan terms that fit the borrower’s real cash cycle. The case study shows how a company with healthy margins and solid interest coverage can still have a thin DSCR once principal is included, and how a lender can respond not by rejecting but by restructuring the tenor, moratorium, equity and covenants.

Whether you are a founder preparing a loan application or an aspiring analyst, build your own downside case before the lender does. Know your cash-flow available for debt service, understand which ratios reveal strain first, and be ready to explain every red flag. Credit analysis rewards the borrower whose repayment story survives stress.