Part 05 — The Lending Lifecycle

The Credit Appraisal Package

The credit appraisal package is the bridge between raw borrower data and sanction. It is the case a credit analyst, credit manager and, for larger working-capital files, the borrower’s chartered accountant (CA) assemble to prove three things: the borrower is eligible under policy, the proposed facility is suitable for the business need, and the remaining risk is understood well enough to approve, reduce, secure or decline.

Credit-memo practice converges around character, capacity, capital, collateral, conditions, key risks, mitigants, terms and covenants; CRI frames this as the five Cs of credit (CRI credit memo best practices).

This page integrates the techniques covered separately in underwriting data, underwriting decisioning, SME financial analysis and cash-flow assessment. Here the focus is the full package: data stack, Credit Monitoring Arrangement (CMA) data, eligibility computations, risk flags, deviations and the credit appraisal memorandum (CAM).

As of July 2026, be careful about saying “RBI requires this exact CMA form for every loan.” Tandon/Nayak discipline still shapes practice, but RBI has given banks flexibility: the older mandatory MPBF prescription based on a 1.33 current ratio was withdrawn for larger borrowers, and banks may use turnover, cash-budget or modified MPBF methods under board-approved policy (RBI Management of Advances UCB circular). Private CMA preparers describe a six-form CMA pack as bank/NBFC practice; that schedule is industry practice, not a separately verified current RBI form download in this task (JS & Co CMA format guide).

The Input Stack

Input	Source / API	What it proves	Lookback
GST returns: GSTR-1, GSTR-3B, invoice/e-way evidence	GST portal/API provider, borrower documents, GST Sahay/OCEN-style consent flows	Reported supplies, tax discipline, buyer concentration, seasonality, related-party or one-off invoices	12-24 months; latest 3-6 months for trend
Bank statements	Account Aggregator (AA), netbanking pull, statement analyzer or PDFs	Banking turnover, average bank balance (ABB), credit summation, bounce discipline, EMI debits, cash/non-cash mix, circular flags	6-12 months; 24 months for volatile sectors
Consumer and commercial bureau	CIC pull with borrower/promoter consent	Intent-to-pay: score/rank, enquiries, overdue, settlements, suit-filed/wilful-default flags, active obligations	Current report plus 24-36 month history
Financial statements and income tax return (ITR)	Audited/provisional financials, ITR, CA schedules	Profitability, net worth, leverage, margins, current ratio, debt service capacity	2 audited years, current estimate/provisional, 2-3 projected years
Udyam, KYC and constitution documents	Udyam certificate, PAN, GSTIN, MCA/LLP, partnership deed	MSME status, legal identity, ownership, borrowing authority, PSL evidence	Current, refreshed at login/renewal
Existing loans, repayment schedules and statement of account (SOA)	Lender SOA, bureau, bank debits, declarations	EMI/interest obligations, secured exposure, collateral already charged, repayment conduct	Current plus last 6-12 months conduct
Field verification and personal discussion	FI agency, RCU, RM/credit notes	Business existence, stock/machinery reality, premises, employee/customer checks, character signals	At login, renewal, enhancement or trigger

Digital SME lenders automate much of this. SIDBI describes GST Sahay as a paperless journey using OCEN, Account Aggregator, GSTN trade information, bank information, credit bureau, e-sign, e-stamping and e-NACH (SIDBI GST Sahay). OCEN’s July 2026 note describes four consented data-flow models: direct from customer, AA fetch, borrower-agent forwarding and derived data providers (OCEN credit bureau pull). The regulated entity still needs consent, audit trail and need-based collection under the Digital Lending Directions (RBI Digital Lending Directions, 2025).

CMA Data Deep Dive

CMA data is the borrower’s projected financial pack, usually prepared by the borrower or CA and reviewed by the lender. It is common for working-capital CC/OD, term loans, renewals and enhancements above lender thresholds. Many banks demand detailed CMA for crore-level working-capital proposals, while small digital unsecured loans may rely on GST/banking surrogates.

Schedule	What it contains	What the banker checks
Form I: borrower and facilities	Existing limits, proposed limits, purpose, security, promoters, banking	Whether exposure, end-use and security match the request; unreported loans or limits
Form II: operating statement	Sales, purchases, gross profit, expenses, EBITDA, interest, depreciation, tax, profit for audited, estimated and projected years	Margin stability, projection realism, GST/banking tie-back, unexplained profit jumps
Form III: balance sheet analysis	Fixed assets, current assets, capital, loans, creditors and total liabilities	Balance-sheet balancing, net worth, leverage, long-term funds versus long-term uses
Form IV: current assets/current liabilities	Inventory, debtors, creditors, other current assets/liabilities, bank borrowings	Working-capital cycle, debtor ageing, inventory, creditor pressure
Form V: MPBF computation	Working-capital gap, borrower margin, permissible bank finance	Whether bank finance is within policy and current ratio/debtor norms are acceptable
Form VI: fund flow	Sources and uses of funds	Whether fixed assets are funded by long-term sources or short-term bank credit
Ratio and DSCR schedules	Current ratio, TOL/TNW, ICR, DSCR, margins, debtor/inventory days	Repayment capacity, liquidity, leverage, covenant fit

Projection discipline matters more than format. A serious CMA normally shows two audited years, a current estimated/provisional year and two or three projected years. Sales growth should reconcile to GST returns, bank credits, order book and capacity. Current assets should move with the operating cycle, not merely expand to justify a larger limit. If debtors fall from 75 days to 45 days while sales grow 30%, the CAM must explain why.

Worked Case: Fictional, Illustrative

The following applicant is fictional and illustrative. Formulas are shown so the math is reproducible; policy thresholds are illustrative.

Applicant: Anika Precision Components, a fictional Pune-based partnership manufacturing fabricated machine parts and trading replacement spares. It requests a ₹75 lakh machinery term loan and an ₹80 lakh working-capital CC enhancement. Existing facilities are ₹38 lakh term debt and ₹45 lakh CC.

Evidence	FY25	FY26 / latest 12 months	Credit reading
Books sales	₹4.20 crore	₹4.80 crore	Conservative statutory base
GSTR-1 outward supplies	₹4.45 crore	₹5.20 crore	Higher than books; needs reconciliation
Eligible bank operating credits	₹4.32 crore	₹4.95 crore	Close enough after removals
Latest 3-month GST annualised		₹5.60 crore	Growth plausible but not fully seasoned

GST-vs-banking reconciliation:

Item	Amount
GSTR-1 outward supplies, last 12 months	₹5.20 crore
Less related-party invoices	-₹0.12 crore
Less one-off scrap/machinery sale	-₹0.08 crore
Accepted GST operating turnover	₹5.00 crore
Bank credits before exclusions	₹5.28 crore
Less inter-account transfers	-₹0.18 crore
Less loan disbursement and reversals	-₹0.09 crore
Less unexplained cash deposits	-₹0.06 crore
Eligible banking turnover	₹4.95 crore

Formula: accepted turnover = lower of accepted GST operating turnover and eligible banking turnover adjusted for normal collection lag. Here: lower of ₹5.00 crore and ₹4.95 crore = ₹4.95 crore.

Banking analysis shows ABB of ₹8.4 lakh, cash credits at 6.5% of credits, two outward NACH bounces, EMI debits of ₹1.42 lakh per month, peak OD utilisation at 92% for two months and three repeated same-day loops with a group firm. Credit summation formula: credit summation = sum of all credits in the assessment period excluding reversals only if policy says so; eligible banking turnover then removes non-operating credits. ABB formula: ABB = sum of daily closing balances / number of days; if the analyzer uses month-end balances, state that convention.

Financial spreading after normalisation:

Metric	Formula	Result
EBITDA	sales - cost of goods sold - operating expenses	₹63.0 lakh
EBITDA margin	EBITDA / sales = ₹63.0 lakh / ₹495.0 lakh	12.7%
Interest coverage ratio (ICR)	EBITDA / interest = ₹63.0 lakh / ₹18.0 lakh	3.50x
Cash accrual	PAT + depreciation = ₹26.0 lakh + ₹12.0 lakh	₹38.0 lakh
Current ratio	current assets / current liabilities = ₹205.0 lakh / ₹160.0 lakh	1.28x
TOL/TNW	total outside liabilities / tangible net worth = ₹238.0 lakh / ₹92.0 lakh	2.59x
Existing DSCR	cash available for debt service / annual debt service = ₹44.0 lakh / ₹25.0 lakh	1.76x

Bureau obligations: the commercial report shows clean conduct, one equipment-finance enquiry in 90 days and no suit-filed or wilful-default marker. Formula: monthly fixed obligations = bureau EMIs + detected bank EMIs + proposed EMI, after removing duplicates. Existing verified business obligations are ₹1.42 lakh per month; promoter personal obligations are noted but not fully loaded into business FOIR because household income supports them.

Eligibility by method:

Method	Formula	Computation	Eligibility
FOIR-based term-loan capacity	`(assessed monthly surplus x FOIR cap) - existing monthly EMI`, then divide by EMI per ₹1 lakh	Assessed monthly surplus = `₹63.0 lakh EBITDA / 12 = ₹5.25 lakh`; cap at 60% gives `₹3.15 lakh`; incremental EMI capacity = `₹3.15 lakh - ₹1.42 lakh = ₹1.73 lakh`; at 13% for 60 months, EMI per ₹1 lakh is about ₹2,276	₹76 lakh
DSCR-based term-loan capacity	`maximum annual debt service = stressed cash accrual / minimum DSCR`; new annual debt service = maximum - existing	Stressed cash accrual = `₹38.0 lakh x 90% = ₹34.2 lakh`; minimum DSCR 1.35x gives max debt service `₹34.2 / 1.35 = ₹25.3 lakh`; existing annual debt service ₹17.0 lakh; new annual debt service room ₹8.3 lakh; EMI room ₹69,000/month; at ₹2,276 per ₹1 lakh	₹30 lakh
Turnover/Nayak working-capital need	`25% of projected turnover`, with borrower margin `5%` and bank finance `20%`	Projected turnover accepted at ₹5.75 crore; working-capital need `25% x ₹5.75 crore = ₹1.44 crore`; bank finance floor `20% x ₹5.75 crore = ₹1.15 crore`; existing CC ₹45 lakh	Incremental ₹70 lakh
MPBF for WC portion	`current assets - current liabilities excluding bank borrowings - required borrower margin`	Projected current assets ₹250 lakh; current liabilities excluding bank borrowings ₹82 lakh; borrower margin `25% x ₹250 lakh = ₹62.5 lakh`; MPBF `₹250 - ₹82 - ₹62.5 = ₹105.5 lakh`; existing CC ₹45 lakh	Incremental ₹60.5 lakh

Policy cap: machinery term loan is the minimum of requested ₹75 lakh, FOIR ₹76 lakh, DSCR ₹30 lakh and machinery loan-to-cost cap ₹56 lakh. So the recommendation is ₹30 lakh unless equity, longer tenor, collateral or confirmed cash flows improve DSCR. For working capital, the minimum of requested incremental ₹80 lakh, turnover method ₹70 lakh, MPBF ₹60.5 lakh and conduct cap ₹55 lakh is ₹55 lakh.

Risk flags and mitigants:

Risk flag	Why it matters	Mitigant / deviation treatment
Current ratio 1.28x versus 1.33x policy benchmark	Liquidity below classic Tandon-method comfort	Deviation to credit committee; reduce WC to ₹55 lakh and require quarterly stock/debtor statements
Group-firm circular credits	Possible turnover inflation	Excluded from eligible banking turnover; RCU to verify group transactions
DSCR binds term loan	Machinery EMI too high for current cash accrual	Sanction only ₹30 lakh term loan or ask promoter margin to reduce debt
OD utilisation above 90% for two months	Tight working-capital cycle	Monthly DP monitoring and debtor ageing covenant

CAM recommendation paragraph:

Anika Precision Components is a fictional illustrative borrower used for method demonstration. Based on accepted turnover of ₹4.95 crore, clean bureau conduct, EBITDA margin of 12.7%, ICR of 3.50x and adjusted TOL/TNW of 2.59x, the business is eligible for enhanced working-capital support but not for the full requested machinery term loan. Recommend sanction of incremental CC of ₹55 lakh and machinery term loan of ₹30 lakh, subject to current-ratio deviation approval, RCU clearance on group transactions, quarterly stock/debtor statements, direct disbursement to machinery supplier and no further unsecured borrowing without lender consent.

Suitability Beyond Eligibility

Eligibility says how much the borrower can carry. Suitability asks whether the structure fits the purpose. A short-tenor EMI loan is poor fit for receivables that turn in 90 days but recur monthly; CC, invoice discounting or dealer finance may be better. Machinery should be funded by term debt matched to machine life and installation cash flow. End-use evidence matters: quotation, margin, invoice, installation visit and post-disbursement verification.

Character signals also matter. Clean bureau, tax discipline and stable banking help, as do same premises, realistic stock, supplier references, prompt document responses and no hidden related-party flows. A merely eligible case becomes sanctionable when end-use, tenor, borrower behaviour, sector outlook and monitoring controls align.

Manual vs Automated

Automation compresses the package. Bank analyzers compute ABB, credit summation, cash ratio, bounces, EMI debits, OD utilisation and circular-flow flags. GST analytics compute filing delays, turnover trend, customer concentration and return mismatches. A business rules engine (BRE) then calculates FOIR, DSCR, turnover caps, MPBF approximations, deviations and risk bands.

The CA-prepared CMA still matters where the lender is extending or renewing monitored working capital, relying on projected balance sheets, assessing a term loan with multi-year cash flows, or documenting larger secured exposure. For small digital loans, surrogates often replace full CMA: GST plus banking plus bureau can produce an auditable memo in minutes. The best systems store both: the CA workbook as evidence and computed snapshots as reproducible records.