Every business that runs a P&L and a Balance Sheet is sitting on 12 numbers that tell a more complete story than the P&L alone. Most Indian SME owners never compute them. This is not a knowledge problem. It is a process problem — and it costs more than most owners realise.
In 15 years of reviewing company financials — as an investor, as an M&A advisor, and as the person building the MIS — I have sat across the table from hundreds of business owners. Smart people. Well-run businesses. Companies generating 10, 20, 50 crores in revenue.
The question I asked most often was simple: what is your current ratio? What are your debtor days? What is your EBITDA margin this month compared to last year?
The most common answer was a pause, followed by: "I would need to pull that up — it's not something we track monthly."
That pause is the gap this article is about.
What a financial ratio actually is
A ratio is a relationship between two numbers in your financial statements. It converts raw rupee figures — which mean different things at different scales — into a percentage or a multiplier that means the same thing whether your revenue is ₹1 crore or ₹100 crore.
This is why ratios matter. An EBITDA of ₹80 lakhs tells you very little without context. An EBITDA margin of 18% tells you that for every ₹100 of revenue, ₹18 reaches the operating profit line before interest and tax. That number is comparable — across months, across years, and across companies in your industry.
Ratios do not replace the P&L. They interpret it. The P&L tells you what happened. The ratios tell you what it means.
There are hundreds of financial ratios in the accounting literature. Most of them are academic. In practice — across PE-backed companies, SME clients, and investor MIS packs — the same 12 ratios surface again and again as the ones that actually drive decisions.
The 12 ratios that matter — and what each one reveals
Profitability
| Ratio | Formula | What it tells you |
|---|---|---|
| Gross Margin % | Gross Profit ÷ Revenue | How much of every rupee survives after direct costs. The first signal of pricing power and input cost control. If this is falling, the business is getting squeezed before it reaches operating expenses. |
| EBITDA Margin % | EBITDA ÷ Revenue | Operating efficiency — what the business earns before financing and accounting decisions obscure the picture. The ratio PE investors and lenders use to compare businesses across capital structures. |
| Net Profit Margin % | PAT ÷ Revenue | What actually reaches the owner after everything. A falling net margin with a stable EBITDA margin signals a financing or tax issue, not an operational one. |
| Return on Equity | PAT ÷ Shareholder Equity | How efficiently the business generates profit from the capital owners have put in. The most important ratio for an investor evaluating whether the business deserves more capital. |
Liquidity
| Ratio | Formula | What it tells you |
|---|---|---|
| Current Ratio | Current Assets ÷ Current Liabilities | Whether the business can pay its short-term obligations from its short-term assets. Below 1.0 is a danger signal. Between 1.0 and 1.5 is tight. Above 2.0 may mean capital is sitting idle. |
| Quick Ratio | (Current Assets − Inventory) ÷ Current Liabilities | A stricter version that excludes inventory — because inventory cannot always be liquidated quickly. The gap between current and quick ratio reveals how much liquidity depends on moving stock. |
Efficiency
| Ratio | Formula | What it tells you |
|---|---|---|
| Debtor Days | (Trade Receivables ÷ Revenue) × 365 | How long customers take to pay on average. Every additional day is working capital trapped outside the business — effectively financing your customers at your own cost. |
| Creditor Days | (Trade Payables ÷ COGS) × 365 | How long you take to pay suppliers. Much higher than agreed terms signals cash stress. Much lower means you are paying faster than you need to. |
| Inventory Turnover | COGS ÷ Average Inventory | How many times the business cycles through its stock in a year. Low turnover means capital tied up in slow-moving stock. High turnover means efficient management — or a risk of stockouts. |
| Working Capital Cycle | Debtor Days + Inventory Days − Creditor Days | The number of days of cash the business needs to fund its own operations. This single number explains why profitable businesses run out of cash. |
Leverage
| Ratio | Formula | What it tells you |
|---|---|---|
| Debt-to-Equity | Total Debt ÷ Shareholder Equity | How much of the business is funded by debt versus owner capital. Lenders watch this closely — most bank covenants set a ceiling. Investors use it to assess financial risk. |
| Interest Coverage | EBIT ÷ Interest Expense | How many times the business can cover its interest payments from operating profit. Below 1.5× is a warning signal. Above 3× is comfortable. |
| Revenue Growth % | (Current − Prior Revenue) ÷ Prior Revenue | Context for every other ratio. A 40% EBITDA margin is impressive at flat revenue; it is extraordinary at 30% revenue growth. |
Why these 12 are rarely computed in Indian SMEs
The ratios above are not complicated. Any finance professional can compute all 12 in under an hour from a clean P&L and Balance Sheet. So why does the pause happen so often?
The problem is not that business owners do not want to know their ratios. It is that the process of producing them reliably, every month, in context, is more work than the current manual MIS workflow can absorb.
How ratios change decisions — three real scenarios
The working capital trap
A trading company with ₹18 crore in revenue was profitable on paper — EBITDA margin of 12%, net profit positive. But the owner was constantly stressed about cash. The bank line was always near its limit. Suppliers were being stretched.
The working capital cycle told the story. Debtor days of 82. Inventory days of 74. Creditor days of 31. Working capital cycle: 82 + 74 − 31 = 125 days. On ₹18 crore of revenue, roughly ₹6.2 crore was sitting in the cycle at all times. Profitable, cash-poor, and wondering why.
The margin compression early warning
A services company's net profit was stable month over month. The owner was satisfied. But gross margin had been quietly falling for four months — from 58% to 51% — while operating expenses were held flat.
The net profit stability was masking the deterioration because a one-time tax credit had offset the decline. Without gross margin tracked separately, the compression would have continued undetected until the credit was exhausted — at which point net profit would have fallen sharply and apparently without warning.
The interest coverage signal before the bank meeting
A manufacturing company was preparing to approach its bank for a term loan increase. Its P&L looked healthy. But interest coverage had slipped from 4.2× to 1.8× over 18 months as debt increased and EBIT softened.
The bank's internal credit model flagged the ratio — the loan was rejected, which came as a surprise to the owner because the P&L had looked fine throughout.
What good ratio monitoring looks like in practice
Ratios are not a once-a-year exercise for the annual audit. They are a monthly discipline. The businesses that use them well treat them the way a pilot treats instrument readings — not because something is wrong, but because that is how you know nothing is wrong, and how you catch drift before it becomes a problem.
In practice, useful ratio monitoring has three properties. It is consistent — the same ratios, computed the same way, from the same source data, every month. It is comparative — current period alongside the prior month, the prior quarter, and the prior year equivalent. And it is flagged — so that ratios that have moved significantly are highlighted automatically, rather than requiring the reader to compare 12 numbers across four columns by eye.
When I built MIS packs for PE-backed companies, every ratio had a health band — green if within normal range, amber if approaching a threshold, red if outside it. The board did not read 12 numbers. They read three colours. The numbers were there for the conversation that followed.
The goal of financial ratios is not to produce numbers. It is to surface the right conversation at the right time — before the situation forces the conversation on its own terms.
When we built the ratio engine inside FinLytTech™, we computed all 12 of these automatically on every sync — current period, prior period, movement — with a RAG health flag on each one. No manual computation. No comparison across spreadsheet columns. The ratios are there on the dashboard the moment the data is in.
But the ratios are only as useful as the underlying data they are computed from. If your books are clean and your ledger classification is right, the ratios are reliable. If they are not, the ratios will tell you that too — which is itself useful information.
Of the 12 ratios above — which one, if you had tracked it 12 months ago, would have changed a decision you made?