Master every feature of the Finmagine Financial Chart Builder through video, audio, comprehensive overview, and interactive knowledge testing
This is the definitive tutorial for version 2.2.0 of the Finmagine Financial Chart Builder Chrome extension. It goes beyond the basics to cover every tab, every button, every customization, and every analytical technique built into the tool. Whether you use Screener.in for Indian equities or Google Finance for global stocks, this guide transforms you from a first-time user into a power analyst.
Watch a comprehensive deep dive into the Valuation tab's 4-layer framework — historical context, sector-specific weighted scoring, PEG growth sanity checks, and NIFTY 50 market benchmarks — with real company examples.
Video: The Ultimate Stock Valuation Framework | Finmagine Financial Chart Builder v2.2.0 Deep Dive
Complete video demonstration featuring Affle India, National Aluminium, Bajaj Finance, and more
Prefer to listen? This comprehensive audio walkthrough covers the complete v2.2.0 feature set — from installation through all five tabs — with real-world investment analysis examples.
Duration: Full deep dive | Format: Professional narration
Deep dive audio exploring the 4-pillar valuation framework, sector-weighted verdicts, PEG ratios, and NIFTY benchmarks
Click any flashcard to reveal the answer. Use the search box to filter by topic. These cover every tab, every metric, every threshold, and every workflow in the extension.
If you have ever sat in front of Screener.in or Google Finance at 11 PM, staring at row after row of financial data, trying to mentally subtract column C from column F while remembering what was in column A, you know the feeling. Your eyes glaze over. Your brain does mental gymnastics just to spot a trend. After 10 minutes of scrolling, the cognitive load is so overwhelming that you miss the very signals you were looking for.
That is exactly where the Finmagine Financial Chart Builder enters the picture. It is a free Chrome extension that shatters that wall of numbers in milliseconds. But version 2.2.0 goes far beyond simple charting. It delivers a complete, five-tab analytical workflow that takes you from raw data to a confident investment decision:
Here is the logical progression of the five tabs:
| Tab | Icon | Core Question | Data Source | Screener.in | Google Finance |
|---|---|---|---|---|---|
| Charts | ⚡ | What does the financial data look like visually? | DOM extraction | Yes | Yes |
| Quick Analysis | 📊 | How healthy is this company, sector-adjusted? | DOM extraction | Yes | No |
| Calculated Ratios | 🧮 | What do the derived financial ratios reveal? | DOM extraction | Yes | No |
| Price Analysis | 📈 | Is the price justified by fundamentals? | DOM extraction | Yes | No |
| Valuation | 💎 | Is the stock cheap or expensive vs its own history? | Screener.in API | Yes | No |
The Finmagine Financial Chart Builder is a free Chrome extension with zero configuration required. It works on Chrome, Microsoft Edge, Brave, and all Chromium-based browsers.
Every computation — from health scores to DuPont Analysis to valuation verdicts — runs entirely in your browser. The extension never sends your financial research data to any external server. Think of it as having a financial analyst sitting inside your browser tab, reading the same page you see, and computing everything locally in real time.
Screener.in (India): All five tabs available. Screener delivers server-rendered static HTML, so the extension extracts up to 8 data sections simultaneously: Quarterly P&L, Annual P&L, Quarterly Balance Sheet, Annual Balance Sheet, Quarterly Cash Flow, Annual Cash Flow, Financial Ratios, and Shareholding Pattern.
Google Finance (Global): Charts tab only. Google Finance is a React single-page application that shows only one financial statement at a time. The extension adapts with auto-detection, a Refresh button, MutationObserver auto-refresh, and the Minimize-Restore workflow for switching views.
Before diving into the five tabs, let's master the panel itself. Every tab shares the same shell, and understanding the controls will make your workflow faster.
| State | Description | How to Access |
|---|---|---|
| Closed | Panel hidden, golden float button visible | Click X or outside panel |
| Minimized | Thin bar docked at bottom showing metric count | Click Minimize button |
| Expanded | Full panel, viewport-centered | Click float button or minimized bar |
The Charts tab is the foundation of the extension and the only tab available on both Screener.in and Google Finance. It transforms financial data tables into interactive, dual-axis charts with a single click.
When you open the panel on Screener.in, the extension has already extracted up to 8 distinct data sections from the page. All are available simultaneously — no tab switching required:
| Section | Period | Example Metrics |
|---|---|---|
| Quarterly Profit & Loss | 12+ quarters | Sales, Expenses, Operating Profit, OPM%, Net Profit, EPS |
| Quarterly Balance Sheet | 12+ quarters | Equity, Reserves, Borrowings, Fixed Assets |
| Quarterly Cash Flow | 12+ quarters | Cash from Operations, Investing, Financing |
| Annual Profit & Loss | 10+ years | Same as quarterly but full fiscal year data |
| Annual Balance Sheet | 10+ years | Total Assets, Net Worth, Working Capital |
| Annual Cash Flow | 10+ years | Free Cash Flow, Operating CF, Financing CF |
| Financial Ratios | 10+ years | ROCE, ROE, Current Ratio, Debt/Equity |
| Shareholding Pattern | Recent quarters | Promoter %, FII %, DII %, Public % |
Click the checkbox next to any metric name. The chart updates in real time with smooth animations — no "Generate" or "Submit" button needed. You can mix metrics from different sections on the same chart. Want quarterly Revenue alongside annual ROCE? Just check both. The extension creates a unified chronological X-axis.
This is the core innovation that makes the charts actually useful. If you plot Revenue (₹20,000 Cr) and OPM% (27%) on the same axis, the 27% becomes an invisible flat line at the bottom. The extension solves this automatically:
The system determines chart type from the metric name:
A 10-color palette (Blue, Red, Green, Orange, Purple, Teal, Dark Orange, Light Blue, Crimson, Emerald) assigns colors in order. Beyond 10 metrics, colors repeat. For readability, 3–5 metrics per chart is recommended; maximum is 10.
Your metric selections are automatically saved and restored when you navigate to a different company. If you select Revenue, Net Profit, and OPM% on TCS, then navigate to Infosys, those same metrics will be pre-selected if Infosys has matching data.
Companies are not always consistent with their terminology. One calls it "Sales," another calls it "Revenue," a third uses "Net Sales." Finmagine handles this with a built-in thesaurus:
| These Terms Are Equivalent | Canonical Name |
|---|---|
| Sales, Revenue, Net Sales, Turnover | Revenue |
| Net Profit, PAT, Profit After Tax, Net Income | Net Profit |
| Operating Profit, EBIT, PBIT | Operating Profit |
| OPM %, Operating Margin %, Operating Margin | OPM % |
| EPS, Earnings Per Share, Diluted EPS | EPS |
This means your preferences seamlessly carry across companies that use different naming conventions.
Metrics are saved with their section context. Annual P&L "Revenue" only restores to Annual P&L "Revenue" — it won't accidentally pre-select the Quarterly version. This prevents data confusion.
Screener.in and Google Finance have separate preference storage. Your Screener selections don't affect Google Finance and vice versa.
Before we dive into the Google Finance workflow, there is one important thing to understand: Screener.in is a buffet — everything is laid out on one long page. Google Finance is a vending machine — you push a button to see one specific thing at a time. This architectural difference is why Google Finance shows only one statement at a time, and the extension adapts with a specialized workflow:
Select Revenue, Operating Income, and Net Income. Look for compression — if Revenue bars climb nicely but Operating and Net Income bars stay flat or shrink, costs are eating the growth. This pattern reveals margin erosion that a quick glance at the financial table often misses.
Select Net Income and EPS. In companies like Apple, Google, or Microsoft that do massive buybacks, you will see EPS climbing much faster than Net Income. That divergence is pure financial engineering — they are reducing the denominator (shares outstanding) rather than growing the numerator (actual profits). Finmagine's dual-axis chart makes this divergence instantly visible.
Here is the Charts tab in action on two different platforms:
Sales, OPM%, and Profit Before Tax charted together on a dual-axis view. Bars show absolute values (left axis), while the OPM% line tracks margin trends on the right axis. Notice how Sales grew exponentially from 28 Cr to 12,499 Cr while OPM climbed from 68% to 82%.
Reserves vs Borrowings comparison revealing the capital structure evolution. This chart instantly shows how borrowings surged past reserves from 2021 onward — a red flag that warrants further analysis in the Calculated Ratios tab.
Revenue, EBITDA, and Net Profit Margin charted on Google Finance. The dual-axis logic works identically — Revenue and EBITDA as bars, NPM% as a line. Uber's turnaround from negative margins to 19.33% NPM is immediately visible.
Cash from Operations and Free Cash Flow showing Uber's dramatic FCF inflection. From $152M in 2021 to $6.48B in 2025 — a story that only a chart can tell at a glance.
Quick Analysis transforms 10+ years of financial statements into a single health score with sector-aware intelligence. It answers: "How healthy is this company?" in under one second. Available on Screener.in only (requires 10+ years of P&L data).
The circular health score indicator (0–100) is a composite weighted score:
| Component | Weight | What It Measures |
|---|---|---|
| Growth | 30% | Revenue CAGR, Profit CAGR across multiple time horizons |
| Profitability | 30% | ROE, ROCE, Operating Profit Margin |
| Stability | 25% | Debt/Equity, Interest Coverage, Cash Flow consistency |
| Shareholding | 15% | Promoter holding level, pledge status, institutional trends |
| Score Range | Label | Color | Interpretation |
|---|---|---|---|
| 80–100 | Excellent | Green | Outstanding financial health |
| 65–79 | Good | Light Green | Solid financial position |
| 50–64 | Average | Yellow | Acceptable, monitor closely |
| 35–49 | Below Average | Orange | Significant concerns |
| 0–34 | Poor | Red | Major financial stress |
The header row displays key ratios alongside the health score for quick reference: ROCE, OPM, ROE, and D/E. For Banking/NBFC companies, these dynamically swap to NIM (Net Interest Margin), GNPA (Gross NPA), CASA ratio, and ROA. Each metric shows a trend arrow: ↑ Green (improving), ↓ Red (declining), → Gray (stable).
The extension auto-detects the company's sector from the Peer Comparison breadcrumb on Screener.in. It recognizes 18 sectors plus a General fallback. Sector detection drives the entire analysis — threshold adjustments, special handling rules, and metric selection.
The left column lists positive characteristics (green check marks) and risk flags (red warnings):
Compound Annual Growth Rates across four time horizons: 1Y, 3Y, 5Y, and 10Y for Revenue, Profit, and EPS. Color-coded: Green (≥15%), Gray (5–15%), Red (<5%). The pattern across timeframes reveals the growth trajectory:
| Pattern | Example | Interpretation |
|---|---|---|
| Accelerating | 1Y: 25%, 5Y: 15% | Growth is speeding up (bullish) |
| Decelerating | 1Y: 5%, 5Y: 20% | Growth is slowing (watch closely) |
| Consistent | 1Y: 18%, 5Y: 17% | Stable, predictable growth |
| Volatile | 1Y: -5%, 5Y: 25% | Erratic, needs investigation |
Year-over-Year comparison removes seasonality: Q3 FY26 vs Q3 FY25 vs Q3 FY24. Shows Sales, Net Profit, OPM%, EPS direction with ↑ (Increasing/Green), ↓ (Decreasing/Red), ↔ (Inconsistent/Yellow).
Sequential quarter comparison (Q3 → Q2 → Q1) shows recent momentum. Good for detecting turning points but noisy due to seasonality.
Annual comparison for structural analysis: Sales, Net Profit, OPM%, EPS, Reserves, Net Cash Flow, Operating CF, ROCE.
Tracks Promoter, FII, DII, and Public ownership changes over recent quarters. Shows direction (↑/↓/→), duration ("4 qtrs"), and current level. Key warning signs: Promoter declining 4+ quarters, both FII and DII selling simultaneously, high pledge percentage.
Click the gear icon to open Settings. Three components:
Auto-detect (recommended) or manual selection from 18 sectors. Use manual override for conglomerates or when the breadcrumb misclassifies the company.
| Preset | Philosophy | Best For |
|---|---|---|
| Conservative | Strict standards, fewer false positives | Blue-chip, established companies |
| Moderate (default) | Balanced approach | General analysis |
| Aggressive | Lenient standards, growth-focused | Startups, turnaround stories |
| Metric | Conservative | Moderate | Aggressive |
|---|---|---|---|
| Revenue/Profit CAGR Min | 20% | 15% | 10% |
| ROE / ROCE Min | 20% | 15% | 12% |
| OPM Min | 15% | 10% | 8% |
| D/E Max (Non-Banking) | 0.5x | 1.0x | 1.5x |
| GNPA Max (Banking) | 2.0% | 3.0% | 4.0% |
| Promoter Pledge Max | 5% | 10% | 20% |
Fine-tune after selecting a preset. Adjustable thresholds include: Revenue CAGR Min, Profit CAGR Min, ROE Min, ROCE Min, OPM Min, D/E Max, Current Ratio Min, Promoter Min, Pledge Max, and banking-specific NIM Min, GNPA Max, CASA Min. Click "Apply & Re-analyze" to save and refresh. Settings persist in browser localStorage.
Unlike Quick Analysis (which reads pre-calculated ratios from Screener.in), the Calculated Ratios tab derives 11+ ratios from raw P&L and Balance Sheet data. This means it works on ANY company on Screener.in — not just the 72 covered on finmagine.com. Available on Screener.in only.
| Ratio | Formula | Excellent | Good | Average | Poor |
|---|---|---|---|---|---|
| Interest Coverage | Operating Profit / Interest Expense | ≥5.0x | 3.0–5.0x | 2.0–3.0x | <2.0x |
| Debt to Equity | Total Borrowings / Shareholders' Equity | ≤1.0x or Debt-free | 1.0–1.5x | 1.5–2.5x | >2.5x |
| Debt to Assets | Total Borrowings / Total Assets | ≤20% | 20–40% | 40–60% | >60% |
| Current Ratio | Current Assets / Current Liabilities | ≥2.0x | 1.5–2.0x | 1.0–1.5x | <1.0x |
| Quick Ratio | (Current Assets - Inventory) / Current Liabilities | ≥1.5x | 1.0–1.5x | 0.8–1.0x | <0.8x |
The Quick Ratio (Acid Test) is particularly powerful. It asks a brutally simple question: If your sales stopped tomorrow and you could not sell a single piece of inventory, could you still pay off all your immediate debts? If a company has a high Current Ratio but a low Quick Ratio, it may be hoarding unsold stock to make its balance sheet look healthier than it is.
| Ratio | Formula | Excellent | Good | Average | Poor |
|---|---|---|---|---|---|
| EBITDA | Operating Profit + Depreciation | Info only (absolute value, no rating) | |||
| EBITDA Margin | EBITDA / Revenue × 100 | ≥40% | 25–40% | 15–25% | <15% |
| Net Profit Margin | Net Profit / Revenue × 100 | ≥20% | 10–20% | 5–10% | <5% |
| Asset Turnover | Revenue / Total Assets | ≥3.0x | 2.0–3.0x | 1.0–2.0x | <1.0x |
| Fixed Asset Turnover | Revenue / Fixed Assets | ≥10.0x | 5.0–10.0x | 2.5–5.0x | <2.5x |
| Equity Multiplier | Total Assets / Shareholders' Equity | ≤1.5x | 1.5–2.5x | 2.5–4.0x | >4.0x |
The crown jewel of the Calculated Ratios tab. DuPont Analysis decomposes Return on Equity into three drivers:
| Company Profile | NPM | Asset Turnover | Equity Multiplier | Interpretation |
|---|---|---|---|---|
| Quality Compounder | High | Moderate | Low | Sustainable, low-risk ROE — the ideal |
| Efficient Operator | Moderate | High | Moderate | Good capital utilization |
| Leveraged Growth | Low | Low | High | ROE inflated by debt — risky |
| Turnaround Candidate | Low | Low | Low | Poor across all dimensions |
The tab also compares the DuPont-calculated ROE against Screener.in's reported ROE. A difference under 2% shows "Matches" (verified). Larger differences are labeled "Slight difference" — typically due to averaging or timing.
The Calculated Ratios tab uses universal formulas — it does NOT adjust for sector. This means a bank will always show a high Equity Multiplier (rated "Poor" in red) because banks are inherently leveraged. This is expected and normal. Cross-reference the Quick Analysis tab (which does adjust for banking) to confirm the leverage is being managed safely via NIM and GNPA.
| Aspect | Quick Analysis (Tab 2) | Calculated Ratios (Tab 3) |
|---|---|---|
| Role | The Dashboard — tells you if a company is healthy | The Diagnostics Tool — tells you why |
| Primary Output | Health Score (0–100) | 11+ Financial Ratios |
| Sector Awareness | Yes — auto-detects and adjusts | No — universal formulas (user provides context) |
| Unique Feature | Shareholding Tracker, Trend Analysis | DuPont Analysis |
| Customization | 3 strictness presets + individual sliders | Fixed formulas and standard thresholds |
| Use First? | Yes — get the "pass/fail" verdict first | Second — investigate the "why" behind the score |
Price Analysis answers the critical question: "Is the current stock price justified by fundamental growth?" It combines Price vs Fundamentals comparison, Cyclical Quarter Analysis, and 52-Week Risk Metrics into a single view. Available on Screener.in only.
| Badge | Color | Condition | Interpretation |
|---|---|---|---|
| CATCHING UP | Green | Price CAGR < Profit CAGR × 0.7 | Fundamentals outpacing price — potential undervaluation |
| FAIRLY VALUED | Blue | Price ≈ Profit growth (±30%) | Price and profits aligned |
| RUNNING AHEAD | Red | Price CAGR > Profit CAGR × 1.3 | Price ahead of fundamentals — potential overvaluation |
Calculated as Stock Price CAGR / Profit CAGR. Below 0.7x = significantly undervalued. Between 0.7–1.3x = fairly valued. Above 1.3x = potentially overvalued. Uses 5Y data primarily, falls back to 3Y.
Shows Stock Price CAGR, Profit CAGR, and Sales CAGR across 10Y, 5Y, 3Y, and 1Y horizons. Look for: Price consistently above Profit (multiple expansion), 1Y Price CAGR >> 5Y (recent rally needing verification), or 1Y Profit CAGR >> 1Y Price CAGR (accelerating fundamentals not yet reflected in price).
This panel identifies seasonal patterns by grouping quarterly profits by month (Mar, Jun, Sep, Dec), calculating average profit per quarter type, and measuring variance. If variance exceeds 30% of the mean, the company is flagged as CYCLICAL.
Quarters are ranked #1 through #4 by average profitability. Color-coded: #1 Dark Green (strongest), #2 Light Green, #3 Yellow, #4 Red/Brown (weakest). Positive Quarters have ≥70% historical positive profits. Negative Quarters have ≥50% historical negative profits.
| Industry | Typically Strongest Quarter | Driver |
|---|---|---|
| Infrastructure | Q4 (March) | Government spending/billing before fiscal year-end |
| Retail / FMCG | Q3 (Oct–Dec) | Diwali, festive season, Christmas |
| Auto | Q2 (Sep) and Q4 (Mar) | Festive demand + year-end incentives |
| Agriculture | Seasonal | Harvest cycles and monsoon patterns |
| Badge | Color | Condition | Interpretation |
|---|---|---|---|
| Near 52W High | Yellow | Within 10% of 52W high | Potentially expensive entry |
| Mid Range | Blue | Between extremes | Neutral positioning |
| Near 52W Low | Green | Within 20% of 52W low | Could be value opportunity or falling knife |
The visual 52-week range bar shows current price position between the yearly low and high. Three metrics are displayed: Max Drawdown ((High-Low)/High), From 52W High (how far below peak), and From 52W Low (how far above trough).
| Drawdown | Risk Level | Strategy |
|---|---|---|
| < 20% | Low | Safe to buy on momentum. Corrections are shallow. |
| 20–40% | Moderate | Normal volatility. Standard entry rules apply. |
| 40–60% | High | Avoid buying at peaks. Wait for deep pullbacks. |
| > 60% | Very High | Extreme volatility. Requires strict stop-losses. |
When a stock is "Near 52W Low," is it a bargain or a trap? The answer lies in combining the price position with profit momentum:
The most powerful insights come from combining multiple Price Analysis metrics:
The Valuation tab is the most sophisticated feature in the extension and the first to use an API-based data source. It fetches 5 years of daily historical valuation data via the Screener.in Chart API, computes 5-year medians client-side, applies sector-aware weighted verdicts, calculates PEG ratios, and benchmarks against NIFTY 50. Available on Screener.in only.
Data is fetched only when you first click the Valuation tab. A loading spinner appears ("Fetching valuation data...") while up to 4 API calls execute (one per multiple). Results are cached — switching tabs and returning is instant. Each metric is fetched independently via Promise.allSettled, so one failure doesn't block the others.
| Multiple | Formula | Best For | Not Useful For |
|---|---|---|---|
| PE Ratio | Market Price / EPS | Stable, profitable companies (IT, FMCG, Manufacturing) | Loss-making, cyclical (metals), banking |
| EV/EBITDA | Enterprise Value / EBITDA | Capital-intensive businesses (infrastructure, metals, telecom) | Financial companies (banks, NBFCs) |
| Price/Book | Market Price / Book Value per Share | Banks, NBFCs, asset-heavy industries | Asset-light businesses (IT, services) |
| Mkt Cap/Sales | Market Cap / Annual Revenue | Growth-phase companies, fintech, FMCG | Banking, metals, infrastructure |
The 5-year median is computed client-side from ~1,200 daily data points. Deviation = (Current - Median) / |Median| × 100. The absolute value in the denominator prevents negative medians from flipping the sign.
This is the most powerful feature. Instead of treating all 4 multiples equally, the verdict weights each by sector relevance using a 0–3 scale:
| Weight | Label | Card Appearance | Verdict Impact |
|---|---|---|---|
| 3 | Primary | Normal card, gold tag | Dominates the verdict |
| 2 | Important | Normal card, blue tag | Strong influence |
| 1 | Supplementary | Normal card, gray tag | Minor influence |
| 0 | Not Key Metric | Dimmed (45% opacity) | Excluded from verdict |
| Sector | PE | EV/EBITDA | P/B | Mkt Cap/Sales | Primary Metric |
|---|---|---|---|---|---|
| Banking/NBFC | 0 | 0 | 3 | 0 | Price/Book only |
| IT Services | 3 | 2 | 0 | 2 | PE Ratio |
| Metals | 0 | 3 | 2 | 0 | EV/EBITDA |
| Telecom | 0 | 3 | 0 | 0 | EV/EBITDA (only) |
| Fintech | 2 | 1 | 0 | 3 | Mkt Cap/Sales |
| Manufacturing | 3 | 2 | 1 | 1 | PE Ratio |
| FMCG | 3 | 2 | 0 | 2 | PE Ratio |
| Infrastructure | 2 | 3 | 1 | 0 | EV/EBITDA |
The PEG ratio adjusts the PE multiple for earnings growth: PEG = Current PE / Profit CAGR (%). PE source: API data first, falls back to DOM extraction from "#top-ratios" ("Stock P/E"). Growth source: 5Y Compounded Profit Growth preferred, 3Y fallback.
| PEG Range | Status | Color | Interpretation |
|---|---|---|---|
| < 0.5 | Deeply Undervalued | Dark Green | Getting growth practically for free |
| 0.5 – 1.0 | Undervalued | Green | Growth not fully priced in |
| 1.0 – 1.5 | Fairly Valued | Blue | Reasonably priced for growth |
| 1.5 – 2.0 | Getting Expensive | Amber | High expectations priced in |
| > 2.0 | Overvalued | Red | Paying too much for growth |
The PEG card shows the computed value, status badge, breakdown formula (e.g., "PE (44.8) ÷ Profit CAGR 5Y (36.4%) = PEG 1.23"), and a plain-English insight. PEG is not computed if PE is negative, profit growth is zero or negative, or data is unavailable.
The benchmark panel compares the company's PE and P/B against the NIFTY 50 index, providing broader market context:
| Band | Range | Color | Meaning |
|---|---|---|---|
| Significant Premium | > +75% | Red | Company trades far above market levels |
| Moderate Premium | +25% to +75% | Amber | Company trades above market levels |
| In Line with Market | -25% to +25% | Blue | Company trades near market levels |
| Discount to Market | < -25% | Green | Company trades below market levels |
When the historical verdict and market comparison point in different directions, an interpretive context line resolves the conflict: "Trading below its historical median while remaining at a premium to broader market valuations." This bridges the mental gap — it tells you the stock is cheap for itself but still expensive vs the average company.
Theory is useful. Seeing the framework in action across real companies is transformative. Below are real screenshots from 7 companies spanning 6 different sectors — showing how the same extension adapts its analysis based on industry context. Notice how the sector badge, relevance tags, metric weights, and final verdict all change dynamically.
For cyclical metal companies, PE is unreliable (marked "Not Key Metric" with weight 0). EV/EBITDA is the primary valuation multiple. Despite a PEG of 12.50, the sector note explains: "For cyclical metals companies, PE is unreliable. EV/EBITDA and Price/Book are preferred."
For NBFCs, Price/Book is the only metric that matters (marked PRIMARY with weight 3). PE, EV/EBITDA, and Mkt Cap/Sales are all dimmed. The sector note reads: "For NBFCs, Price/Book is the primary valuation metric." Health Score: 63 (Average) with only Profit CAGR as a strength.
All four multiples are below their 5-year medians — a strong undervaluation signal. For energy companies, EV/EBITDA is the primary metric. PEG of 0.77 (Undervalued) confirms: earnings growth is outpacing the valuation. Health Score: 91 (Excellent) with 3 strengths and 0 concerns.
IndiGo falls into the "General" sector profile where all four multiples carry balanced weights. All metrics are above median, driving the "Premium Priced" verdict. Yet the PEG of 0.80 (Undervalued) tells a different story — this is where the PEG ratio adds nuance that median-only analysis misses. The NIFTY benchmark shows a +88% PE Significant Premium.
For IT companies, PE and EV/EBITDA are both primary metrics. All four multiples are below their 5-year medians. The sector note: "For IT companies, PE and EV/EBITDA are primary. Price/Book is less relevant for asset-light businesses." PEG of 1.24 sits in the "Fairly Valued" zone, adding a balanced perspective.
When multiples split between Above and Below Median, the verdict lands on "Fairly Valued" — the most balanced outcome. Note the PE and EV/EBITDA cards: PE has no current data (dash), and EV/EBITDA is negative (-9.3) which gets flagged as "Above Median" at -155%. The system handles edge cases gracefully.
Google Finance companies get the full Charts experience but not the analysis tabs (which require Screener.in's structured data). Here are two views showing Uber's income statement and cash flow evolution — demonstrating that the dual-axis engine works identically across platforms.
Theory is clear. Now let us walk through a single company across all five tabs to see how the complete analytical workflow builds a coherent investment thesis. We will use Affle (India) Ltd — an IT Services company — and analyze it exactly as you would in practice.
The chart instantly reveals a powerful growth story: Sales climbing consistently over the years with OPM% stabilizing around 21–23% after initially being higher, showing mature but healthy margins. Profit before tax shows a consistent upward trajectory. The dual-axis chart makes the revenue scale and margin trends equally visible — something a raw data table can never do.
The IT Services sector badge appears automatically. The health score comes in strong with multiple strengths flagged and zero concerns. Revenue and Profit CAGR are both robust across multiple timeframes. The trend analysis shows increasing direction for key metrics. This is a textbook quality company passing the "Background Check."
The solvency picture is clean: low debt, strong interest coverage, healthy current ratio. Now look at the DuPont Analysis: the ROE comes from profit margins with almost zero reliance on debt. The low asset turnover is typical for IP/tech businesses — they generate revenue from intellectual property, not physical assets. This is a Quality Compounder profile.
The Price vs Fundamentals panel reveals whether the market has priced in the company's growth. Check the Price/Profit Growth Ratio and the resulting badge. The Cyclical Analysis and Risk Metrics add timing and positioning context. Combined with Steps 2 and 3, we now know the company is healthy, the earnings are quality, and we have a price-vs-value assessment.
The Valuation tab brings it all together with sector-aware intelligence. For IT Services, PE and EV/EBITDA are both primary metrics. All four multiples are compared against their 5-year medians. The PEG Ratio adds a growth dimension — validating whether the PE is justified by earnings growth. And the NIFTY 50 Benchmark provides broader market context.
The five tabs are designed to work as a complete end-to-end workflow. Here is the recommended analytical sequence:
/company/...), not the homepagechrome://extensions/ — is the extension enabled?These four tabs are Screener.in only. They do not appear on Google Finance because the site lacks sufficient data depth.
The extension reads sector from the Peer Comparison breadcrumb. For conglomerates, the classification may not match. In Quick Analysis, use Settings > Sector Override for manual correction. The Valuation tab currently uses auto-detection only.
Click Refresh in the panel header, or use the Minimize-Restore cycle: Minimize → Switch view → Wait 2–3 seconds → Restore.
"Clear All" only clears the current chart — saved preferences remain. Use "Reset Preferences" to clear both.
Yes. 100% free, no premium tier, no subscriptions, no accounts required.
No. Everything runs client-side. The only network calls are to the Screener.in Chart API (Valuation tab), and those go directly to Screener.in's servers — not to Finmagine.
Not on one chart, but you can screenshot each company's analysis and compare side-by-side. Metric persistence makes this fast — your selections carry over automatically.
Maximum 10 (limited by the color palette). For readability, 3–5 is recommended.
No. Chrome extensions require desktop browsers.
No. The manifest only matches Screener.in and Google Finance. Adding new sites requires new extractors.
You have now explored every tab, every button, every metric, every threshold, and every workflow in the Finmagine Financial Chart Builder v2.2.0. Here is what you can now do:
Next Steps:
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