Peer Comparison for Indian Stocks

Why Isolated Analysis Gets You Killed in Sector Rotation

Here is a scenario that plays out constantly in Indian equity markets: You research a mid-cap IT company thoroughly. Revenue growing 18% YoY. ROCE 24%. P/E of 32x — reasonable for an IT grower. You buy.

Six months later, it's underperformed Nifty IT by 15 percentage points, despite delivering exactly what it said it would.

What happened? The sector leader was delivering 31% revenue growth at a ROCE of 64%. Three peers were available at lower P/E multiples with comparable growth profiles. The market wasn't wrong about your company — it was right about the others being better. Your analysis was complete in isolation and useless in context.

The challenge has always been data assembly time. Comparing 6-8 peers across 12 financial metrics requires visiting each company page, noting numbers, and building a spreadsheet. By the time you've done that for 8 companies, 45 minutes have passed and the numbers are already stale.

The Peer Comparison template eliminates that entirely. The data is assembled automatically, in real time, before you even open the AI.

How Peer Comparison Assembles Data Automatically

The technical architecture involves three layers: the Screener.in page, the Finmagine Data Layer server, and the extension's background service worker. Understanding this helps you interpret the ✅/⚠️ status indicators and know when data is complete vs. partial.

The 5-Step Data Flow

1. Peer Detection from Screener.in Peers Section. The extension reads the Peers section and extracts up to 8 sector peer tickers. If the Peers tab hasn't been clicked (lazy-loaded), it falls through to the server for all data.
2. Background Service Worker Fetch. For each peer, the extension sends a message to background.js, which fetches finmagine.com/api/company-data.php?symbol=PEER. This happens in the extension context, bypassing the CORS restrictions that block direct fetches from the screener.in page.
3. Data Merge & Enrichment. Server data is merged with any on-page data. The combined dataset is richer than either source alone.
4. Status Display. Each peer shows ✅ (full data from Finmagine server) or ⚠️ (partial data — peer not in database or recently listed).
5. Prompt Assembly. A structured comparison table is inserted into the prompt pre-populated with all available peer metrics, ready to copy.

Metrics Available Per Peer

The 4-Analyst Peer Comparison Framework

Once data is assembled, four analysts perform a structured head-to-head comparison. Each focuses on a specific dimension, and the framework concludes with a pre-filled scorecard that the AI completes for every peer.

Analyst 1 — Valuation Analyst

Creates a P/E cross-table across all peers, calibrates whether the premium or discount is justified by the growth differential, and identifies valuation anomalies.

• P/E ranking table across all peers
• PEG-equivalent analysis: is the P/E proportional to EPS growth?
• Valuation premium or discount explained for each peer
• Identifies "cheapest quality" and "most expensive mediocrity" in the peer set

Analyst 2 — Profitability & Efficiency Analyst

Ranks peers by capital efficiency (ROCE, ROE), margin quality (OPM, NPM), and incremental ROCE — which reveals whether recent capital allocation is improving or deteriorating returns.

• ROCE hierarchy table — who earns more per rupee of capital deployed
• OPM comparison — margin quality leader and laggard
• Incremental ROCE flag: companies where recent capital is being deployed at declining returns (leading indicator of margin pressure)

Analyst 3 — Growth & Quality Analyst

Assesses the quality of each peer's growth story: is EPS growing faster than revenue (operating leverage)? What does promoter stake signal about management's own confidence?

• Revenue CAGR vs. EPS CAGR comparison: positive gap = operating leverage
• Promoter holding rank — higher stake often signals confidence in the long-term story
• Balance sheet strength ranking (D/E, Current Ratio)

Analyst 4 — Final Ranking & Recommendation

Synthesizes the three previous analyses into a pre-filled scorecard and produces the definitive peer ranking. Each criterion is scored 0-5, total out of 25:

Final outputs from Analyst 4:

• Ranked peer table with total scores
• Best risk-reward pick: the peer offering the most favorable reward-to-risk balance at current prices
• Structural laggard: the peer with fundamental weaknesses that justify its discount or underperformance

TCS vs. Indian IT Sector — Real Output from March 2026

This is the actual Peer Comparison analysis for TCS performed using the Finmagine AI Advisor on March 9, 2026. Peers detected automatically: INFY, WIPRO, HCLTECH, TECHM, PERSISTENT, LTM. All 6 returned ✅ from the Finmagine Data Layer.

The Data Table Assembled Automatically

Key Analyst Findings

Valuation Analyst: PERSISTENT at 47.9x P/E appears expensive but earns it with 31.4% revenue CAGR — the PEG-equivalent is actually lower than TCS at 28.2x for only 4.5% growth. WIPRO at 22.3x looks "cheap" but is a value trap — negative revenue CAGR makes any positive P/E expensive. HCLTECH at 26.8x with 9.2% revenue and 14.3% EPS growth offers the best PEG in large-cap IT.

Profitability & Efficiency Analyst: TCS ROCE of 64.6% is in a different category entirely. WIPRO's ROCE of 17.8% vs. the sector leader at 64.6% reflects a structural efficiency disadvantage, not a temporary dip. TECHM's OPM of 9.8% vs. TCS at 24.1% indicates fundamentally different pricing power.

Final Scorecard

When to Use Peer Comparison & Limitations

Limitations to Be Aware Of

• Data freshness: The Finmagine Data Layer is a cache updated when users browse companies. Data for less-followed stocks may be a few days old.
• P/B unavailable: For banking and NBFCs where P/B is the primary valuation metric, the template's valuation analysis is less complete. Use Template 2 (Risk-Reward) for banking comparisons.
• Screener.in lazy loading: If you've never clicked the Peers tab on the company page, on-page peer data may not be available. Server data will still be fetched.
• ⚠️ peers still included: Companies with ⚠️ status appear in the prompt with whatever data is available — the AI will note which metrics are missing.