Sharda Associates CA Firm, Bhopal, Madhya Pradesh, India
You’re told the bank has returned your CMA data, and you want to know precisely what happened
Bank loan officers review hundreds of loan files each month. They spot problems in CMA data in minutes. Most of the files that come back with queries have the same mistakes in them, just in different combinations, but still based on the same basic errors.
The good news is, if your CMA data was returned, almost always the business behind the application is viable. Rejection is a documentation issue, not a business issue. Documentation problems can be solved.
Every week our team of CAs at Sharda Associates, a CA firm in Bhopal, Madhya Pradesh, India, reviews rejected CMA data files. We identify every specific error, DSCR formula mistakes, wrong MPBF method, balance sheet inconsistencies, and overstated holding periods and prepare corrected CMA reports that pass bank credit appraisal cleanly. We have helped over 45,500 businesses across India fix their loan documentation, and we can help you fix yours.
Get Your CMA Data Fixed Today →
Why CMA Data Mistakes Are Different From Other Loan Problems
The Specific Nature of CMA Rejection
CMA data rejection is different from CIBIL rejection or collateral rejection. Those require time to fix — months of credit rebuilding or property acquisition. CMA Data mistakes can be fixed in 2 to 3 working days. Every CMA Data rejection we have reviewed at Sharda Associates had at least one of the mistakes covered in this guide — and every single one of those mistakes has a specific, immediate fix.
This is why understanding CMA Data mistakes precisely matters so much. You are not waiting for circumstances to change. You are fixing a document. Once fixed — the same bank, the same loan amount, the same business can get a completely different outcome.
Mistake 1 — DSCR Calculated Without Depreciation
What This Mistake Looks Like
DSCR is calculated as Net Profit After Tax divided by Loan Repayment plus Interest — without adding depreciation back to net profit. This produces a DSCR significantly lower than the business actually achieves — causing rejection even when the business genuinely generates enough cash for comfortable repayment.
This is the single most common CMA Data mistake across India. It appears in self-prepared documents, software-generated reports, and documents prepared by non-CA professionals who do not know the correct formula.
Why This Happens
Depreciation reduces your accounting profit — it is recorded as an expense in the Profit and Loss Statement. But depreciation is a non-cash expense. No actual money leaves your business account because of depreciation. The machinery does not send you a monthly invoice. The depreciation entry is purely an accounting adjustment.
When calculating how much cash your business actually generates for loan repayment — depreciation must be added back to net profit because that cash never actually left.
The Correct Formula
WRONG:
DSCR = Net Profit After Tax
divided by
(Loan Repayment + Interest)
CORRECT:
DSCR = (Net Profit After Tax + Depreciation)
divided by
(Loan Repayment + Interest)
The Real Impact
| Item | Amount |
| Net Profit After Tax | Rs.3,00,000 |
| Depreciation | Rs.1,50,000 |
| Correct Net Cash Accruals | Rs.4,50,000 |
| Loan Repayment plus Interest | Rs.3,60,000 |
| Correct DSCR | 1.25 — Approved |
| Wrong DSCR without depreciation | 0.83 — Rejected |
The same business. The same loan. The same bank. Approved or rejected based on one formula error.
The Fix
Recalculate DSCR for every repayment year using the correct formula. If DSCR is still below 1.25 after correct calculation — extend loan tenure, request longer moratorium, or review whether all legitimate revenue streams are included in projections.
Mistake 2 — Wrong MPBF Calculation Method
What This Mistake Looks Like
The MPBF in Statement 5 is calculated using the wrong method for your specific bank and loan size. This produces an incorrect maximum CC limit — either significantly lower than your business qualifies for, or incorrectly structured in a way the bank’s credit officer immediately identifies.
The Three Methods and When Each Applies
| Method | When to Use | How It Works |
| Nayak Committee Turnover | MSME below Rs.5 crore working capital | 20% of projected annual turnover minus 5% borrower margin |
| Tandon Method 1 | Rarely used in practice | Based on minimum current assets less current liabilities |
| Tandon Method 2 | Borrowers above Rs.5 crore working capital | Based on total current assets minus 25% borrower contribution minus other current liabilities |
Before preparing Statement 5 — confirm which method your specific bank requires for your loan size. Call the branch’s credit department and ask directly. This one question asked before preparation saves weeks of revision after rejection.
Mistake 3 — Balance Sheet Not Balancing in Statement 3
What This Mistake Looks Like
Total Sources of Funds does not equal Total Application of Funds in Statement 3 for one or more projection years. This is an immediate red flag. A balance sheet that does not balance tells the credit officer within 60 seconds that the CMA Data contains calculation errors.
Why This Happens
The most common causes are net profit from Statement 2 not flowing correctly into retained earnings in Statement 3. Working capital CC loan missing from Sources of Funds. Depreciation reducing net fixed assets in Statement 3 at a different rate than shown in Statement 2.
The Fix
Build Statement 3 as a derived statement — not an independent document. Every line item must link to Statement 2 or Statement 4. Verify the accounting equation for every year column before finalising.
Total Assets = Total Liabilities + Net Worth
This must hold true for every single year column
in Statement 3 without exception.
Mistake 4 — Overstated Debtor Holding Period in Statement 4
What This Mistake Looks Like
Statement 4 shows a 90-day debtor holding period. Your bank statements show customers consistently paying within 25 to 30 days. Banks verify debtor holding periods against actual bank statement credit patterns and the mismatch destroys your application’s credibility.
Why This Is Done and Why It Backfires
Some applicants deliberately overstate debtor holding to inflate total current assets which inflates the working capital gap which inflates the MPBF which means applying for a larger CC limit.
Banks know this technique. They verify debtor holding against 12 months of bank statement credits. A claimed 90-day collection period when bank statements show a 30-day average collection is identified in one afternoon of credit review.
The Fix
Go through your last 12 months of bank statements. Calculate your actual average collection period from real payment data. Use that number in Statement 4. An honest number—even if it means a smaller CC limit—is always better than an inflated figure that gets caught.
Mistake 5 — Net Profit Inconsistency Between Statement 2 and Statement 3
What This Mistake Looks Like
Net Profit After Tax in Statement 2 for Year 1 is Rs.4,12,000. But Net Worth in Statement 3 increases by Rs.4,75,000 from Year 0 to Year 1. These two figures are inconsistent — the statements are not linked correctly.
Why Banks Catch This
Bank credit officers sometimes do a quick manual reconciliation — checking that the profit in Statement 2 matches the retained earnings movement in Statement 3. Any discrepancy raises the question — if these two connected figures do not match, which other figures are also inconsistent?
The Fix
Prepare all 7 statements simultaneously as an integrated system — not as independent documents filled separately. Net profit in Statement 2 must automatically determine the retained earnings change in Statement 3 for every projection year.
Get All 7 Statements Prepared With Zero Inconsistencies →
Mistake 6 — Revenue Projections Disconnected From ITR History
What This Mistake Looks Like
Your ITR shows turnover of Rs.42 lakh for FY 2023-24 and Rs.46 lakh for FY 2024-25 — approximately 10 percent annual growth. Your CMA Data projects Rs.78 lakh for Year 1 of the loan — a 70 percent jump with no explanation.
What Banks Do With This
Banks compare your projected Year 1 revenue against your most recent ITR turnover and against their internal industry benchmarks for your business type. A projection that is 70 percent above recent actual performance without specific documented justification a signed supply contract, a confirmed new client, a completed capacity expansion looks manufactured.
The Fix
Build revenue projections bottom-up from real data. Production capacity multiplied by realistic utilisation rate multiplied by current local market prices. If this produces lower revenue than you hoped — the solution is loan tenure restructuring, not revenue inflation.
If you genuinely have specific documented reasons for above-trend growth a signed contract, an approved tender, a completed factory expansion include that documentation as an annexure and reference it specifically in your projection assumptions.
Mistake 7 — Working Capital Interest Included in DSCR Denominator
What This Mistake Looks Like
The DSCR denominator includes both term loan repayment plus term loan interest AND working capital CC interest. This overstates total annual debt service and artificially depresses DSCR — sometimes pushing it below 1.25 when the correct calculation would show it comfortably above.
The Correct DSCR Denominator
Working capital CC interest is an operating expense. It belongs in the Profit and Loss Statement in Statement 2 — not in the DSCR denominator.
CORRECT DSCR DENOMINATOR:
Term Loan Principal Repayment
PLUS
Term Loan Interest
NOT:
Term Loan Principal Repayment
PLUS Term Loan Interest
PLUS CC Interest
PLUS OD Interest
The Fix
Separate term loan interest from CC interest clearly in your financial statements from the beginning. DSCR denominator contains only term loan principal repayment and term loan interest — nothing else.
Mistake 8 — Current Ratio Below 1.33 in Any Projection Year
What This Mistake Looks Like
Current Ratio — Current Assets divided by Current liabilities—falls below 1.33 in one or more projection years. Banks require a current ratio above 1.33 for every projection year for working capital CC approval. A single year below results in the bank reducing or declining the CC limit for that year.
The Fix
Structure your projected Current Assets and Current Liabilities in Statement 4 to ensure Current Ratio stays above 1.33 in every projection year. If it dips below in any year — review whether the CC limit being applied for is causing the imbalance and adjust accordingly.
How Sharda Associates Reviews and Fixes Your Rejected CMA Data
At Sharda Associates, when you bring us a rejected CMA Data file, our CA team follows a structured review process covering all eight mistakes above plus additional checks for fund flow statement balance, scheme-specific format requirements, and cross-document consistency with your project report.
We identify the root error first. In most cases one root error incorrect DSCR formula or wrong MPBF method causes multiple downstream inconsistencies. Fixing the root error resolves several downstream problems simultaneously.
After identifying all issues we prepare a corrected CMA Report alongside your Project Report ensuring complete consistency across all documents before delivery.
Conclusion
Eight mistakes. Eight specific fixes. None of them require your business to change. All of them require your documentation to change.
The most important insight from reviewing hundreds of rejected CMA Data files is this — bank credit officers are not looking for reasons to reject viable businesses. They are following a structured appraisal process that requires specific information in specific formats. When that information is missing or incorrect, the file comes back.
Give the bank exactly what it needs — correct DSCR formula, appropriate MPBF method, internally consistent 7 statements, honest holding periods, and revenue projections grounded in real market data — and the same business that was rejected gets approved.
At Sharda Associates our CA team fixes CMA Data mistakes every week for businesses across India — from the first review call to the final approval letter.
Call or WhatsApp +91 89899 77769
Frequently Asked Questions
1. What is the most common CMA Data mistake that causes loan rejection?
The most common and damaging mistake is to calculate DSCR without adding back depreciation to Net Profit After Tax. This results in automatic rejection when the business is actually viable, as DSCR looks well below the minimum of 1.25. Fixing the formula will solve a large percentage of rejections on DSCR alone.
2. How do I repair my denied CMA Data?
You can attempt to fix it yourself if you understand all 7 CMA statement interconnections. The risk is that fixing one statement without adjusting linked statements creates new inconsistencies. Professional CA preparation ensures all 7 statements are corrected simultaneously as an integrated system.
3. How quickly can CMA Data errors be fixed?
We can give you the corrected CMA Reports once we receive your rejected file and documents in 2 to 3 working days. 24 hour urgent delivery for time sensitive reapplication deadlines.
4. Does every CMA Data error cause immediate rejection?
Most errors will cause the bank to return the file with queries – this adds 2 to 4 weeks to your timeline. For some errors like DSCR being below 1.25 and Balance Sheet not balancing, automatic return happens even before detailed appraisal starts. Either way, the result is delay and the need for corrected documentation.
5. Which documents do I need to send for CMA Data correction?
Your Rejected CMA Report and Bank’s Query Letter. ITR of last 2-3 years. Audited balance sheet and profit and loss account. Bank statements for the last 12 months Letters of sanction of existing loan and repaying schedules. Adjustments to revenue estimates if projections were the problem.
6. Should I re-apply to the same bank after correcting the CMA Data?
Yes, generally. If the bank gave back your file with specific CMA questions, instead of a final rejection. Banks want to approve viable businesses. Returning with corrected documentation that directly addresses their stated queries is the most efficient path to approval.
7. What is MPBF and why does the wrong method cause rejection?
MPBF is Maximum Permissible Bank Finance — the RBI formula in Statement 5 that determines the maximum CC limit the bank can sanction. Different banks require different calculation methods — Nayak Committee Turnover Method or Tandon Committee Method 2 — based on your loan size. Wrong method produces an incorrect CC limit that the bank immediately identifies.
8. Can incorrect CMA Data be corrected without changing the loan amount?
Yes — in most cases. Many CMA Data errors are formula and calculation errors that when corrected actually improve the financial picture — DSCR appears higher with correct depreciation add-back, for example. The loan amount may not need to change at all.
9. Is a Project Report also needed when correcting CMA Data?
Every financial figure in your Project Report must match your CMA Data exactly. If CMA Data is being corrected — the corresponding Project Report figures must be updated simultaneously. At Sharda Associates we always correct both documents together as an integrated package.