🏆 The Finmagine™ Scorecard

What Is the Finmagine™ Scorecard?

The Finmagine™ Scorecard is a 0–10 composite investment score built from 30+ financial ratios, synthesised across five weighted dimensions. It converts a sprawling set of ratio data into a single actionable verdict — without hiding the underlying detail.

Think of it as the output of a structured analyst review: someone looked at every ratio, weighted it by importance, and gave you a score you can act on. Unlike a simple P/E-based rating, the Scorecard evaluates the full business — quality, growth, competitive moat, management track record, and market pricing all together.

The Scoring Scale

The overall score runs from 0 to 10 and maps to five labels. The label appears directly below the score number in the hero section:

The Five Dimensions

Below the overall score hero, five dimension cards show the individual score and label for each of the five components. Each dimension has a colour-coded top border:

The Radar Chart

Below the dimension cards, a radar chart (pentagon shape) plots all five dimension scores on a single visual. Each axis represents one dimension; the further from the centre, the higher the score.

How to Read the Shape

• Near-circular, large pentagon — the company is strong and balanced across all five dimensions. This is a high-quality, well-rounded business.
• Near-circular, small pentagon — consistently weak across all dimensions. Uniform mediocrity.
• Spiky / lopsided shape — the company has a pronounced strength in one or two dimensions and a pronounced weakness in others. Read both carefully: the strength may be the investment thesis; the weakness may be the risk.

Dimension Weight Bars

Next to the radar chart, a horizontal bar chart shows each dimension's score alongside its weight contribution. This is the transparency layer — you can see that Valuation accounts for only 15% and adjust your interpretation accordingly. A company with a poor Valuation score but excellent scores across the other four dimensions can still reach 7.5+ overall.

Detailed Parameter Analysis — Inside Each Dimension

Below the radar chart, the Detailed Parameter Analysis breaks each dimension into its individual sub-parameters — each with a numbering code (1.1, 1.2 etc.), a one-line description of the underlying data used, an individual 0–10 score, and a classification badge. This is where the Scorecard stops being a summary and starts being a diagnostic tool.

💰 Financial Health (25% weight)

Tests whether the business foundation is solid — balance sheet integrity, earnings quality, and cash generation.

• 1.1 Balance Sheet Strength — Liquidity & Leverage ratio classifications. Measures whether the company has adequate short-term liquidity and sustainable long-term debt levels.
• 1.2 Profitability — Profitability ratio classifications (ROE, ROCE, margins). The most heavily weighted sub-parameter — persistently high ROCE is the single strongest indicator of business quality.
• 1.3 Cash Flow Generation — Operational efficiency as a cash generation proxy. Checks whether reported profits are translating into real cash — a low score here often flags earnings quality issues before they appear in the P&L.

📈 Growth Prospects (25% weight)

Evaluates the trajectory of the business — how fast it has grown historically, whether that growth is durable, and how efficiently it scales.

• 2.1 Historical Growth — Revenue, PAT & EBITDA growth ratio classifications across 1Y, 3Y, and 5Y periods.
• 2.2 Future Growth Potential — Peer percentile rank in Growth ratios. How does this company's growth trajectory compare to its sector peers?
• 2.3 Scalability — Efficiency metrics used as a business scalability proxy. A company that improves asset turnover as it grows is scaling efficiently; one that needs more and more assets per rupee of revenue is not.

🏆 Competitive Position (20% weight)

Assesses whether the company has a structural edge — does it consistently outperform peers, and is the industry structure favourable?

• 3.1 Market Share — Profitability & Growth peer percentile rank. A company that consistently sits in the top quartile of profitability and growth within its sector is likely defending or growing its competitive position.
• 3.2 Competitive Advantages — Overall peer percentile rank across all ratios. A broader view — does the company score well across the full ratio set relative to peers, not just on one or two metrics?
• 3.3 Industry Structure — Valuation & sector-specific peer percentile rank. Even a strong company in a structurally poor industry (commoditised, low-margin) will face ceiling effects on its competitive position score.

👔 Management Quality (15% weight)

Evaluates capital allocation discipline, the historical track record of ratio improvement, and governance signals.

• 4.1 Track Record — What percentage of ratios show an improving trend? A management team that has consistently improved the financial profile over time is demonstrating execution capability, not just inheriting a good business.
• 4.2 Capital Allocation — ROCE / ROE / ROIC classifications. This is the acid test: are returns on invested capital high and sustainable? A 10.0 here (Exceptional) means capital is being deployed with extraordinary efficiency.
• 4.3 Corporate Governance — Percentage of ratios on a declining trend. A proxy for governance quality — if financial metrics are broadly deteriorating, it raises questions about whether management is making decisions in shareholders' interests.

💲 Valuation (15% weight)

Evaluates whether the current market price is reasonable relative to earnings, book value, and historical norms.

• 5.1 Current Multiples — P/E, P/B, EV/EBITDA vs sector classification. How expensive is the stock relative to its sector median right now?
• 5.2 Historical Valuation — Price vs Profit CAGR spread. If the stock's price has risen significantly faster than profits over multiple years, PE has expanded and the company may be priced to perfection. A positive spread (price CAGR > profit CAGR) is a flag; a negative spread is a potential opportunity.
• 5.3 Peer Comparison — Sector PE / EV-EBITDA percentile vs peers. Supplemental context: is the stock more or less expensive than its direct peers, not just the sector average?

How to Use the Scorecard in Your Research

Step 1 Check the overall score first — is this a business worth spending time on? Below 5.0, you need a specific contrarian thesis. Above 7.5, you are starting from a position of quality.

Step 2 Read the dimension cards — find the highest and lowest scoring dimensions. The highest tells you the investment thesis; the lowest tells you the risk.

Step 3 Look at the radar shape — is it balanced or lopsided? A balanced high score is rare and more dependable. A lopsided shape means the investment thesis is conditional on the weak dimension not worsening.

Step 4 Drill into the lowest dimension via the Parameter Analysis — understand which specific sub-parameter is causing the score to be low. Then cross-reference it in the Ratios tab for the raw data.

Step 5 Remember what the Scorecard doesn't capture — it is entirely backward-looking. It reflects what the business has done, not what it will do. A company about to turn around may score poorly today and well in twelve months. Use the Financials tab to see if the trajectory is improving.