By Sharda Associates | CA Firm, Bhopal
Picture this situation. You spent three weeks gathering documents, filling forms, and preparing your CMA Data. You submitted your loan application with full confidence. Two weeks later the bank sent your file back — with a list of issues in the CMA Data.
You are not alone. At Sharda Associates we have reviewed hundreds of rejected CMA Data files from clients who came to us after their initial rejection. And in almost every case the rejection came down to the same five mistakes — appearing in different combinations in different files.
Our CA team has helped over 45,500 businesses across India get their CMA Reports right — and we built this list from direct experience with what actually causes banks to return files.
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The Mistake Map — Before We Begin
Most people think CMA Data rejection is about the business not being good enough. That is rarely true. In most rejected files the business is genuinely viable. The rejection is a documentation problem — not a business problem. That means every rejection caused by these five mistakes is fixable.
Here is what we consistently see in rejected CMA files across India.
Mistake 1 — DSCR Calculated Without Depreciation
What the mistake looks like:
The applicant calculates DSCR as Net Profit After Tax divided by Loan Repayment plus Interest. The number comes out at 0.85. The bank returns the file saying DSCR is below the required minimum.
Why this is wrong:
DSCR should be calculated as Net Cash Accruals divided by Loan Repayment plus Interest. Net Cash Accruals is not the same as Net Profit After Tax. It equals Net Profit After Tax plus Depreciation.
Depreciation is a non-cash expense. Your accountant deducts it from profit to reduce taxable income — but no actual money leaves your business because of depreciation. The machinery does not send an invoice. No payment goes out. Depreciation only exists on paper.
So when calculating how much actual cash your business generates for loan repayment — you must add depreciation back.
The impact of this mistake:
Example business figures:
Net Profit After Tax: Rs.3,00,000
Depreciation: Rs.1,50,000
Loan Repayment plus Interest: Rs.3,60,000
Wrong DSCR: Rs.3,00,000 divided by Rs.3,60,000 = 0.83 — Rejected
Correct DSCR: Rs.4,50,000 divided by Rs.3,60,000 = 1.25 — Approved
The same business. The same loan. The same bank. Approved or rejected based purely on whether one number — depreciation — was added back correctly.
The fix:
Recalculate DSCR for every repayment year using the correct formula. Add depreciation to Net Profit After Tax first. Then divide the result by Loan Repayment plus Interest.
If DSCR is still below 1.25 after the correct calculation — the next steps are to extend the loan tenure, request a longer moratorium period, or review whether all legitimate income streams have been included in your revenue projections.
Mistake 2 — MPBF Method Does Not Match Your Bank
What the mistake looks like:
You applied for a cash credit limit of Rs.20 lakh. The bank says your MPBF calculation is wrong and the maximum they can sanction is Rs.11 lakh — significantly less than what you applied for.
Why this happens:
There are three RBI-prescribed methods for calculating MPBF Maximum Permissible Bank Finance. Nayak Committee Turnover Method, Tandon Committee Method 1, and Tandon Committee Method 2. Each produces a different result. And different banks require different methods for different borrower sizes.
Most self-prepared and software-generated CMA Reports use whichever method is simplest or most commonly described online — without checking what your specific bank requires for your specific loan size. Using the wrong method produces an incorrect MPBF. And an incorrect MPBF means you either get less than you qualify for, or your application gets flagged for using the wrong calculation approach.
Which method applies to you:
For most MSME businesses with working capital requirements below Rs.5 crore Nayak Committee Turnover Method. MPBF equals 20 percent of projected annual turnover minus the borrower’s 5 percent margin.
For businesses with working capital requirements above Rs.5 crore Tandon Committee Method 2. Based on actual current assets and liabilities from Statement 4.
The fix:
Before preparing Statement 5 call your bank’s credit department or your branch relationship manager and ask specifically which MPBF method they require for your loan category and amount. This one question — asked before you prepare the document — saves weeks of revision time.
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Mistake 3 — Balance Sheet Does Not Balance in Statement 3
What the mistake looks like:
The bank’s query letter says your Balance Sheet in Statement 3 does not balance. Total Sources of Funds do not equal Total Application of Funds in one or more projection years.
Why this is serious:
A Balance Sheet that does not balance is a fundamental accounting error. Every credit officer who reviews a CMA Report checks this within the first minute. When it does not balance — the credit officer immediately knows that either the preparer made calculation errors, or the statements were prepared independently rather than as a linked system. Either way — the file gets returned.
Common causes:
Forgetting to include the working capital CC loan in the Sources of Funds when preparing Statement 3. Net Profit from Statement 2 not flowing correctly into Retained Earnings in Statement 3 the two must match exactly for every year. Depreciation reducing Net Fixed Assets in Statement 3 but the depreciation figure being inconsistent with what appears in Statement 2.
The fix:
Build Statement 3 as a derived statement not as an independent document. Every line item in Statement 3 must be directly linked to a corresponding figure in Statement 2 or Statement 4. Total Sources must equal Total Application before you finalise the statement for any year.
Check this for every single year column — not just Year 1. Many CMA Reports balance correctly for Year 1 but drift out of balance in Year 2 or Year 3 as errors compound.
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Mistake 4 — Debtor Holding Period Overstated in Statement 4
What the mistake looks like:
Statement 4 claims a 90-day debtor holding period. The bank’s credit officer pulls up your 12 months of bank statements and sees that customers typically pay within 30 to 35 days. The bank flags a working capital inflation concern and returns the file.
Why this is a problem:
The debtor holding period in Statement 4 shown in months of net sales determines how much value appears in your Debtors line of Current Assets. A longer holding period means more debtors in Current Assets which means a larger Working Capital Gap which means a larger MPBF which means a higher CC limit the bank is asked to sanction.
Some applicants deliberately inflate the debtor holding period to claim a larger CC limit. Banks know this technique. They verify debtor holding periods directly against your bank statement credit patterns. If your statement shows money coming in from customers consistently within 30 days — a 3-month debtor claim is identified within minutes.
Why this hurts you even when it is not deliberate:
Sometimes the overstated holding period comes from an old template that used a generic industry benchmark rather than your actual business data. Even without deliberate intent — the mismatch raises a credibility flag that affects the bank’s overall confidence in your entire CMA submission.
The fix:
Go through your last 12 months of bank statements. Note when invoices were raised and when corresponding payments were received. Calculate your actual average debtor collection period from real data. Use that number in Statement 4 — not an aspirational figure or a template default.
Mistake 5 — Revenue Projections Disconnected From Historical Reality
What the mistake looks like:
Your actual turnover grew from Rs.40 lakh to Rs.45 lakh over the past two years a 12 percent growth rate. Your CMA Data projects Rs.72 lakh in Year 1 a 60 percent jump to show strong enough DSCR for the loan amount you need.
The bank’s credit officer compares the projected growth against your ITR history and against their internal benchmark for your industry. The projection fails both checks. The file comes back.
Why banks catch this immediately:
Every bank has internal benchmark data for almost every industry and business type what a flour mill of a certain capacity typically earns, what a garment unit in a tier 2 city typically produces, what a transport business with two trucks realistically generates. These benchmarks are updated regularly. Projections significantly above benchmark without specific, verifiable justification are flagged immediately.
Additionally banks compare your projected Year 1 revenue against your most recent ITR turnover. A jump from Rs.45 lakh to Rs.72 lakh in one year requires a specific, credible explanation — a new contract, a capacity expansion that has already been completed, a new product line with documented orders. Without evidence the projection looks manufactured.
The fix:
Build revenue projections bottom-up from real market data. Start with your actual production capacity. Apply realistic capacity utilisation benchmarks typically 55 to 65 percent in Year 1 for a growing business, rising to 75 to 85 percent from Year 3 onwards. Multiply by current actual selling prices in your local market. If this produces lower revenue than you need to show adequate DSCR — the solution is to restructure the loan tenure or moratorium not to inflate the revenue number.
How These Five Mistakes Compound Each Other
Here is something important that most applicants miss. These five mistakes do not happen independently. They compound each other in a single CMA Data file.
When DSCR is calculated incorrectly it looks low. To compensate the applicant inflates revenue projections Mistake 5. The inflated revenue inflates the debtor holding calculation — Mistake 4. The higher working capital numbers create an imbalance in the Balance Sheet Mistake 3. And the MPBF is calculated using whatever method was in the template Mistake 2.
One root error cascades into four related errors. This is why some CMA Data files come back with five or six bank queries at once even though only one or two fundamental errors caused all of them.
At Sharda Associates when we review a rejected CMA Data file we always look for the root error first. Fixing the root error often resolves multiple downstream issues simultaneously which is why our CA team can typically prepare a corrected CMA Report in 2 to 3 working days even for files with multiple bank queries.
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Quick Fix Checklist Before You Submit Your CMA Data
Before submitting any CMA Report to any bank run through this checklist.
DSCR check have you added depreciation back to net profit after tax in the numerator? Check every repayment year independently.
MPBF check — have you confirmed which calculation method your specific bank requires for your specific loan size?
Balance Sheet check does Total Sources equal Total Application for every year column in Statement 3?
Debtor check does your claimed debtor holding period in Statement 4 match your actual bank statement collection patterns?
Revenue check is your Year 1 projected revenue within 20 to 25 percent of your most recent actual ITR turnover, or do you have specific documented evidence a signed contract or purchase order justifying a larger jump?
If all five pass your CMA Data is in significantly better shape than most of what banks receive. If any one fails fix it before submission.
Documents Required for CMA Data Preparation
- Last 2 to 3 years ITR with computation sheet
- Last 2 to 3 years audited Balance Sheet and Profit and Loss Statement
- Last 12 months GSTR-3B and GSTR-1 returns
- Last 12 months business bank account statements
- Existing loan sanction letters and repayment schedules if any
- Stock statement for working capital applications
- Debtors ageing statement
- Projected revenue and cost estimates
Conclusion
Five mistakes. All fixable. All avoidable before you even submit.
DSCR without depreciation. Wrong MPBF method. Balance Sheet not balancing. Overstated debtor holding. Disconnected revenue projections. These five errors appear in different combinations in the majority of rejected CMA Data files we review at Sharda Associates.
The frustrating reality is that in most cases the underlying business is genuinely viable. The bank would approve the loan if the CMA Data correctly represented that viability. The rejection is a documentation problem not a business problem. And documentation problems are always fixable.
At Sharda Associates our CA team identifies root errors, corrects them, prepares accurate replacement CMA Data grounded in your real business numbers, and helps you get your loan approved built from the expertise of helping over 45,500 businesses across India get their loan documentation right.
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Frequently Asked Questions
1. What is the most common reason CMA Data gets rejected by banks?
DSCR below 1.25 in any repayment year — caused by not adding depreciation back to Net Profit After Tax when calculating Net Cash Accruals — is the single most common rejection reason. It is also the easiest to fix once you know the correct formula.
2. How do I know which MPBF method my bank requires?
Call your bank branch’s credit department or relationship manager and ask specifically which MPBF method they require for your loan size. For most MSME businesses below Rs.5 crore working capital the answer will be the Nayak Committee Turnover Method.
3. My Balance Sheet does not balance — how do I fix it?
Check that Total Sources of Funds equals Total Application of Funds for every year column. Most commonly the issue is net profit not flowing correctly from Statement 2 into retained earnings in Statement 3, or the CC loan balance missing from Sources of Funds.
4. The bank said my debtor holding period is unrealistic — what should I do?
Go through your last 12 months bank statements, calculate your actual average collection period from real payment data, and update Statement 4 with the real figure. An honest number — even if it results in a smaller CC limit — is always better than an inflated figure that gets caught and flags credibility concerns.
5. My revenue projections are being questioned — how do I justify them?
Banks compare projections against historical ITR growth and internal industry benchmarks. If you are projecting above-trend growth — you need specific documented evidence. A signed supply agreement, a confirmed new client contract, or a government scheme tender that guarantees purchase quantities are all acceptable evidence for above-trend revenue projections.
6. Can Sharda Associates fix my rejected CMA Data?
Yes. We review rejected CMA Data files, identify every specific error, prepare a corrected CMA Report, and deliver it ready for resubmission. All revisions are completely free until your bank approves your loan. Contact us at +91 89899 77769 for a free same-day review.
7. How long does CMA Data correction take?
After receiving your complete documents and the bank’s query letter, we deliver corrected CMA Reports in 2 to 3 working days. Urgent 24-hour delivery is available for time-sensitive bank deadlines.
8. Does fixing these mistakes guarantee loan approval?
Fixing these five mistakes removes the most common documentation-based rejection reasons. Your actual loan approval depends on your business viability — which a correctly prepared CMA Data will accurately reflect. A genuinely viable business with correct CMA Data should be approved. A business that is not financially viable will still face challenges regardless of documentation quality.
9. Should I also fix my Project Report when fixing CMA Data?
Yes — always. Every financial figure in your Project Report must match the corresponding figure in your CMA Data exactly. If you revise your CMA Data — your Project Report must be updated simultaneously to maintain consistency. At Sharda Associates we always prepare and correct both documents together.
10. How much does CMA Data correction cost at Sharda Associates?
Our CA-certified CMA Reports including corrections start at Rs.2,999. All revisions after delivery are completely free until your bank approves. Call or WhatsApp +91 89899 77769 for a free same-day review of your rejected CMA Data.