Free S&P 500 Stock Screener & Fundamental Analysis Tool

Fundamental analysis for individual investors
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Help & Glossary

Detailed explanation of every report and metric on this dashboard. Click any section to expand it.

Compares the current stock price against historical values. A fast way to spot which stocks are leading or lagging the market over multiple time horizons.

Price TodayLatest closing price available in the dataset (≀ today). Used as the reference point for all return calculations.
1M / 3M / 1Y / 5Y agoClosing price on the nearest available trading day before each cutoff. Null means data does not go back that far.
Return 1M %((Price Today βˆ’ Price 1M ago) Γ· Price 1M ago) Γ— 100. Short-term momentum signal.
Return 3M %((Price Today βˆ’ Price 3M ago) Γ· Price 3M ago) Γ— 100. Identifies medium-term trends.
Return 1Y %((Price Today βˆ’ Price 1Y ago) Γ· Price 1Y ago) Γ— 100. The primary sort column. Best single indicator of annual performance.
Return 5Y %((Price Today βˆ’ Price 5Y ago) Γ· Price 5Y ago) Γ— 100. Long-term compounding. Stocks with high 1Y but low 5Y may have peaked.
πŸ’‘ How to use: Sort by Return 1Y descending to find momentum leaders. Then check if 5Y return is also strong β€” consistent multi-year performers tend to have durable competitive advantages.

Measures how much a stock's price moves. Higher volatility = higher risk and higher potential reward. Calculated from the last ~45 trading days.

Volatility 30D %Standard deviation of daily log returns Γ— √252 Γ— 100. Annualizes the daily noise into a comparable yearly figure. Formula: Οƒ(ln(Pt/Pt-1)) Γ— √252 Γ— 100.
Low< 15% β€” Utilities, consumer staples. Very stable businesses.
Medium15–30% β€” Most large-cap S&P 500 stocks in normal conditions.
High30–50% β€” Growth and tech stocks, especially during earnings.
Very High> 50% β€” Speculative names, small-caps, turnaround stories.
πŸ’‘ How to use: Compare with implied volatility from the Options Sentiment report. If historical vol is much lower than implied vol, the options market expects a big move ahead (earnings, lawsuit, macro event).

Compares what the market pays for a company vs what the company actually earns, generates in cash, and owns. Extended metrics go beyond the standard P/E to reveal the real cost of ownership.

Market Cap (B)Total market value of all outstanding shares in billions USD. Market Cap = Share Price Γ— Shares Outstanding.
EV (B)Enterprise Value. EV = Market Cap + Total Debt βˆ’ Cash & Equivalents. Represents the theoretical takeover price. A company with $50B market cap but $30B net debt has an EV of $80B β€” you're inheriting that debt.
P/E RatioPrice-to-Earnings. Market Cap Γ· Net Income. How many years of current earnings you pay upfront. <10 = very cheap (or troubled); 10–20 = fair value; 20–40 = growth premium; >40 = high expectations baked in. Null = negative earnings.
P/S RatioPrice-to-Sales. Market Cap Γ· Revenue. Useful for companies without earnings yet. Software SaaS companies often trade at 5–20Γ—. <1 can indicate undervaluation in stable industries.
EV/EBITDAEnterprise Value Γ· EBITDA (Earnings Before Interest, Taxes, Depreciation & Amortization). More robust than P/E because it accounts for debt and ignores accounting differences. Industry average is typically 8–14Γ—.
P/FCFPrice-to-Free-Cash-Flow. Market Cap Γ· Free Cash Flow. Cleaner than P/E because FCF is harder to manipulate with accounting. <15 = cheap; 15–30 = fair; >40 = expensive. A company with P/E of 20 but P/FCF of 50 is burning more cash than its income suggests.
EV/EBITEnterprise Value Γ· EBIT (operating profit). Stricter than EV/EBITDA because it includes depreciation β€” important for capital-intensive businesses (manufacturing, retail) where D&A is a real economic cost.
EV/OCFEnterprise Value Γ· Operating Cash Flow. Based on actual cash generated before capex. Lower is better. Particularly useful when EBITDA is distorted by large working capital swings.
P/Tangible BookPrice Γ· Tangible Book Value per share (Common Equity minus Goodwill). Excludes intangibles β€” conservative measure of what shareholders would receive in liquidation. <1 historically a strong value signal. Negative = goodwill exceeds equity (heavy acquirer).
SBC-adj P/EP/E adjusted for Stock-Based Compensation. SBC is a real cost to shareholders (it dilutes ownership) but GAAP adds it back in cash flow. SBC-adj P/E = Market Cap Γ· (Net Income βˆ’ SBC). A company with P/E of 25 but SBC-adj P/E of 40 is masking significant compensation costs.
SBC GapSBC-adj P/E minus standard P/E. Tells you by how many P/E points the company is "hiding" costs via stock compensation. Gap >10 is a red flag, especially in tech.
ROIC %Return on Invested Capital. NOPAT (Net Operating Profit After Tax) Γ· Enterprise Value. Approximated as EBIT Γ— 0.79 Γ· EV. The single best measure of capital allocation quality. >15% = good, >30% = exceptional economic moat. A company that earns 30% ROIC and reinvests at 30% is a compounding machine.
FCF Yield %Free Cash Flow Γ· Market Cap Γ— 100. Inverse of P/FCF. Think of it like a bond yield β€” how much cash the business generates relative to what you pay. >8% = potentially undervalued; 4–8% = fair range; <2% = expensive. Compare against the 10-year Treasury yield for context.
SBC % of FCFStock-Based Compensation Γ· Free Cash Flow Γ— 100. Above 15% means a significant portion of "free" cash is actually being redistributed to employees as stock. Above 30% = serious dilution concern.
πŸ’‘ How to use: Start with P/FCF and SBC-adj P/E for a realistic picture. Then check ROIC β€” a company can look expensive on P/E but be a bargain if it compounds capital at 40%+ ROIC consistently.

Annual trend data showing not just margins but the quality and sustainability of earnings. The extended metrics reveal whether profits are real cash or accounting constructs.

Revenue (B)Total annual revenue in billions USD. The top line β€” all money coming in before any costs.
Net Inc (B)Net Income in billions. Bottom-line profit after all expenses, interest and taxes. Compare with Revenue (B) to gauge net margin visually across years.
Op. Inc (B)Operating Income in billions. Profit from core business operations before interest and taxes. Useful for comparing profitability independently of capital structure.
Revenue Growth %Year-over-year revenue change. (Revenuethis year βˆ’ Revenuelast year) Γ· Revenuelast year Γ— 100. Consistent double-digit growth = expanding business. Decelerating growth can signal market saturation.
Gross Margin %Gross Profit Γ· Revenue Γ— 100. Revenue minus direct costs (COGS). The single most important margin for revealing pricing power and brand strength. Buffett threshold: >40%. Software: 60–80%. Retail: 25–35%. Manufacturing: 20–40%.
Op. Margin %Operating Income Γ· Revenue Γ— 100. Profitability of core business before interest and taxes. Measures how efficiently management runs operations. Consistently above 20% suggests structural cost advantages.
Net Margin %Net Income Γ· Revenue Γ— 100. Bottom line after everything including taxes and interest. Software: 20–40%; Retail: 2–5%; Banks: 20–30%. A gap between Op. Margin and Net Margin usually means heavy debt interest payments.
GM Chg (pp)Gross Margin change in percentage points vs prior year. Rising = pricing power or cost efficiencies improving. Falling = pricing pressure, rising input costs, or competitive erosion. A sustained decline is an early warning signal.
R&D % RevResearch & Development spend as % of Revenue. Investment in future products. Tech companies: 10–20% is healthy. Below 5% in a fast-moving industry may signal underinvestment. Above 25% without results = capital allocation concern.
SG&A % RevSelling, General & Administrative costs as % of Revenue. Overhead efficiency metric. Rising SG&A with flat or declining revenue = company is losing operational leverage. Falling SG&A % = scalability kicking in.
FCF Conv %Free Cash Flow Conversion. FCF Γ· Net Income Γ— 100. The most important earnings quality metric. >100% = company generates more real cash than its accounting profit (exceptional β€” think Microsoft). 70–100% = healthy. <70% = warning: profits may be paper, investigate working capital or aggressive revenue recognition. Consistently below 50% is a serious red flag.
SBC Dilution %Stock-Based Compensation Γ· Net Income Γ— 100. Hidden cost to shareholders that Wall Street often ignores. Employees receive company stock instead of cash β€” this dilutes existing shareholders. <10% = minimal; 10–20% = moderate; >20% = significant; >30% = red flag. Many "profitable" tech companies have negative real earnings after SBC.
ROE %Return on Equity. Net Income Γ· Shareholders' Equity Γ— 100. How much profit the company generates per dollar of shareholder capital. >15% = good; >20% = excellent. Warning: very high ROE (>50%) can be artificially inflated by heavy debt or stock buybacks reducing equity.
ROA %Return on Assets. Net Income Γ· Total Assets Γ— 100. How efficiently the company uses ALL assets (debt-financed included) to generate profit. >10% = good; >20% = exceptional. Asset-light businesses (software, financials) naturally score higher than asset-heavy ones (manufacturing, utilities).
Asset TurnoverRevenue Γ· Total Assets. How many dollars of revenue each dollar of assets generates. Retail: >1.5; Software: 0.5–1.0; Heavy industry: 0.3–0.6. Rising turnover = improving efficiency. Falling turnover = assets growing faster than revenue.
DSO (days)Days Sales Outstanding. Accounts Receivable Γ· (Revenue Γ· 365). How long on average it takes to collect payment after a sale. Rising DSO = customers paying slower, potential cash flow problems, or aggressive revenue recognition (booking sales not yet collected). <45 days = healthy for most businesses.
DIO (days)Days Inventory Outstanding. Inventory Γ· (COGS Γ· 365). How long inventory sits before being sold. Rising DIO = demand weakening or over-purchasing. Very low DIO = lean operations or just-in-time model. Retailers: 30–60 days; Manufacturers: 60–120 days.
EPSEarnings Per Share (Basic). Net Income Γ· Shares Outstanding. The most widely quoted earnings metric. Useful for tracking profitability per share over time, especially if the share count is changing due to buybacks or dilution.
EPS Growth %Year-over-year EPS change. (EPScurrent βˆ’ EPSprevious) Γ· |EPSprevious| Γ— 100. More important than raw EPS level. Consistently growing EPS = compounding machine. Declining EPS despite rising revenue = margin compression.
Op. Leverage% change in Operating Income Γ· % change in Revenue. Measures how fixed vs variable the cost structure is. >1 = scalable model where revenue growth amplifies profit growth (software, platforms). <1 = costs growing faster than revenue. >3 = very high fixed costs, risky but powerful in up-cycles.
Capex % RevCapital Expenditures Γ· Revenue Γ— 100. How much of each revenue dollar must be reinvested in physical assets. Asset-light software: <3%; Media: 3–8%; Telecom: 15–20%; Manufacturing: 8–15%. Buffett prefers <25% of net income in capex (see Buffett Scorecard).
Reinvest %Capex Γ· Operating Cash Flow Γ— 100. What fraction of operating cash must be ploughed back into maintaining/growing the asset base. Low % = capital-light, generates lots of free cash. High % = capital-intensive, little free cash left over for dividends or buybacks.
πŸ’‘ How to use: Read the trend, not just the latest year. FCF Conversion below 80% for multiple years with no explanation is a major warning sign. Combine rising Op. Leverage with falling SG&A % β€” that pattern identifies businesses that are genuinely scaling.

One of the most reliable value investing signals. Shows how much real cash a company generates relative to its market price β€” harder to manipulate than earnings-based ratios.

FCF (B)Free Cash Flow in billions. Operating Cash Flow minus Capital Expenditures. The actual cash a business generates after keeping its operations running and investing in growth. This is what pays dividends, funds buybacks, and reduces debt.
Mkt Cap (B)Total market capitalization in billions USD.
FCF Yield %FCF Γ· Market Cap Γ— 100. Think of it like a dividend yield but for free cash rather than declared dividends. >8% = potentially undervalued; 4–8% = fair value range; 1–4% = growth premium (market pays for future FCF); <1% or negative = company isn't generating cash yet. Compare against the current 10-year Treasury yield β€” if FCF yield > risk-free rate, the stock may offer better risk-adjusted value than bonds.
πŸ’‘ How to use: Sort descending by FCF Yield. High FCF yield combined with low debt is the classic value investor's sweet spot. Cross-reference with Profitability Trend to verify FCF Conversion is consistently above 70%.

Applies Warren Buffett's Financial Statement Rules of Thumb as described by analyst Brian Feroldi. Each criterion tests a specific aspect of business quality. Score 0–13.

11–13 Exceptional 8–10 Strong 5–7 Average <5 Below threshold
Gross Margin >40% βœ“Gross Profit Γ· Revenue. A company that can maintain 40%+ gross margin over many years has a durable pricing advantage β€” customers can't easily switch to cheaper alternatives. Examples: Coca-Cola (60%), Apple (43%), MSFT (70%).
SG&A Margin <30% βœ“SG&A Γ· Gross Profit. Buffett looks for companies that don't need to spend heavily on sales and marketing to maintain revenue. Low SG&A relative to gross profit = strong brand pull, not push.
R&D Margin <30% βœ“R&D Γ· Gross Profit. High R&D spending can signal that competitive advantage must be constantly re-won (pharma, semiconductors). N/A if company has no R&D β€” not penalized.
Dep. Margin <10% βœ“Depreciation Γ· Gross Profit. Low depreciation relative to gross profit = business doesn't need heavy physical infrastructure to operate. Asset-light businesses (software, consumer brands) naturally pass this.
Int. Margin <15% βœ“Interest Expense Γ· Operating Income. Heavy interest payments drain the business and create vulnerability in recessions. Null interest expense = company has no debt β†’ automatically passes (ideal).
Tax Rate 10–35% βœ“Effective Tax Rate = Tax Provision Γ· Pretax Income. Reasonable corporate tax rate confirms earnings are real taxable income, not accounting artifacts. Outside this range may indicate unusual tax situations.
Net Margin >20% βœ“Net Income Γ· Revenue. Buffett's threshold for a truly great business. Consistent 20%+ net margin is very hard to sustain without a durable competitive moat.
EPS Growing βœ“Current year EPS > prior year EPS, and both positive. Validates that earnings per share are consistently expanding β€” the foundation of long-term stock price appreciation.
Cash > Debt βœ“Cash & Equivalents > Total Debt. The company could theoretically pay off all debt today. Buffett strongly prefers companies that are net cash (no debt stress, financial flexibility).
Adj. D/E <0.80 βœ“Total Liabilities Γ· Total Equity. Adjusted Debt-to-Equity below 0.80 means the company is financed mostly by equity, not debt. Highly leveraged companies are fragile in economic downturns.
No Preferred Stock βœ“If Total Equity significantly exceeds Common Equity, the company has preferred shareholders who rank above common shareholders. Preferred stock = complexity and a drain on common shareholder returns.
RE Growing βœ“Retained Earnings growing year-over-year. Retained Earnings = cumulative net income kept in the business. Growing RE means the company is building its intrinsic value over time by reinvesting profits effectively.
Capex <25% of NI βœ“|Capex| Γ· Net Income. Buffett's classic test: great businesses require little capital to maintain earnings. If a company must spend 50%+ of its profits just to stay competitive, the moat is weak. Benchmark: See's Candies (Buffett example) had capex of ~5% of net income.
πŸ’‘ How to use: A score of 11–13 doesn't guarantee a good investment β€” the stock also needs to be reasonably priced. Combine with Valuation report. A score of 8+ at a P/FCF below 20 is a genuinely rare and interesting combination.

Growth at a Reasonable Price β€” a strategy made famous by Peter Lynch. Combines growth quality with valuation discipline. Score 0–4.

4 Strong GARP 3 Interesting 2 Average 0–1 Does not qualify
P/E <25 βœ“Trailing P/E below 25. You're not overpaying for past earnings. At P/E 25, you're paying 25 years of current earnings β€” any disappointment is harshly punished.
D/E <35% βœ“Total Debt Γ· Total Equity Γ— 100. Low leverage means the company can fund growth from operations without relying on expensive debt financing. A growing company with high debt is vulnerable to rate cycles.
EPS Growth >15% βœ“Year-over-year EPS growth exceeds 15%. This is the "growth" in GARP. The company must be genuinely expanding earnings fast enough to justify any valuation premium.
PEG <1.2 βœ“Price/Earnings-to-Growth ratio. PEG = P/E Γ· EPS Growth Rate. Peter Lynch's key insight: a P/E equal to the growth rate is fairly valued (PEG = 1.0). PEG <1 = potentially undervalued growth. PEG <1.2 gives a small buffer. PEG only valid when EPS growth is positive.
EPS Current / PreviousRaw EPS values for the most recent and prior annual period. Context for calculating growth rate.
πŸ’‘ How to use: GARP score 4 stocks are rare β€” filter for them, then verify the growth is sustainable using the Profitability Trend report (look for expanding gross margins and positive operating leverage).

Aggregates Wall Street analyst recommendations into a single composite score. Shows the current consensus view from institutional research teams.

Composite ScoreWeighted average: Strong Buy=5, Buy=4, Hold=3, Sell=2, Strong Sell=1. Calculated as (5Γ—SB + 4Γ—B + 3Γ—H + 2Γ—S + 1Γ—SS) Γ· total analysts.
Strong Buy / Buy / Hold / Sell / Strong SellRaw count of analysts with each recommendation. More analysts = more reliable consensus.
Total AnalystsNumber of analysts covering the stock. Large-cap stocks typically have 20–40 analysts. Small-cap may have 2–5. Fewer analysts = less efficient price discovery.
β‰₯ 4.5Strong consensus buy
4.0–4.5Mostly positive recommendations
3.0–4.0Mixed / Hold-heavy
< 3.0Mostly negative
πŸ’‘ Caution: Analysts are famously slow to downgrade. A "Hold" from a sell-side analyst often means "weak sell." Analyst score is most useful as a contrarian signal β€” stocks with very low scores that have strong fundamentals may be overlooked opportunities.

Options traders are often institutional and sophisticated. Their positioning can lead stock price moves. Put/Call ratio is one of the oldest contrarian indicators in finance.

Call OIOpen Interest in call options β€” total number of outstanding call contracts. Calls = right to buy at the strike price. High call OI = bullish positioning or hedging by shorts.
Put OIOpen Interest in put options β€” total outstanding put contracts. Puts = right to sell at the strike price. High put OI = bearish bets or portfolio hedging by long investors.
P/C RatioPut/Call Ratio = Put OI Γ· Call OI. The classic fear/greed indicator for options markets. <0.7 = very bullish (lots of call buyers); 0.7–1.0 = neutral to mildly bullish; 1.0–1.3 = cautious/mildly bearish; >1.3 = strongly bearish or heavy hedging. Extreme readings (<0.5 or >2.0) can be contrarian signals.
IV Calls %Average Implied Volatility of call options. What the options market "prices in" as expected future upside volatility. Rising IV calls before earnings = market expects a big move up or uncertainty about direction.
IV Puts %Average Implied Volatility of put options. Typically higher than IV calls because of "volatility skew" β€” the market pays more to insure against crashes than to bet on rallies (asymmetric fear). Large gap between IV puts and IV calls = market is significantly more afraid of downside than hopeful for upside.
πŸ’‘ How to use: IV Puts βˆ’ IV Calls = "Volatility Skew." High skew (>10pp) means institutional hedgers are paying up to protect against a sharp decline β€” worth noting before a large position. Very high skew ahead of earnings is normal; very high skew with no upcoming catalyst = market knows something.

CEOs, CFOs, board members and other insiders legally buying their own company's stock is one of the strongest bullish signals available. They know the business better than any analyst.

Shares BoughtTotal shares purchased by insiders in the last 90 days. Open-market purchases (not option exercises) are the most meaningful β€” insiders are spending their own money.
Shares SoldTotal shares sold by insiders. Less informative than purchases β€” insiders sell for many reasons (diversification, tax planning, major life expenses). One insider selling β‰  red flag.
Net SharesShares Bought minus Shares Sold. Positive = net buying (bullish); Negative = net selling. Green = bullish signal.
Total Value (USD)Dollar value of all insider transactions combined. Large purchases ($1M+) by non-billionaire insiders signal genuine personal conviction.
# InsidersNumber of unique insiders who traded. 1 insider buying = interesting. 3+ insiders buying simultaneously = very strong cluster buying signal. Widely studied in academic literature as a predictor of positive returns.
πŸ’‘ Key rule: Insiders buy for one reason β€” they expect the stock to go up. They sell for a thousand reasons. Weight purchases much more heavily than sales. Cluster buying (multiple insiders, same time period) has historically been one of the highest-conviction signals in equity markets.

Shows the 5 largest institutional owners of each stock and whether they are increasing or decreasing their position. Institutions manage trillions β€” their moves can move markets.

HolderName of the institutional investor. Vanguard, BlackRock, State Street are the "Big Three" passive index giants who own 20–25% of most S&P 500 companies by default. Fidelity, T. Rowe Price = active managers with high-conviction views.
% HeldPercentage of all outstanding shares owned. If top 5 institutions own >50% combined, small changes in their view have outsized price impact.
Value (B)Dollar value of the institution's position in billions.
% Chg vs prevChange in position size vs the prior quarter's 13F filing. Positive = institution increased holding (bullish). Negative = institution reduced holding (bearish). Multiple large institutions increasing simultaneously = strong institutional buying signal.
Report DateDate of the 13F filing. Data is delayed ~45 days by regulation β€” institutions must file within 45 days of quarter end. Current quarter data is always unavailable.
πŸ’‘ How to use: Focus on active managers (Fidelity, T. Rowe, Baillie Gifford) increasing positions β€” their changes are deliberate high-conviction decisions, unlike passive index funds which simply track weights mechanically.

Shows the last 4 dividend payments. Dividend policy reveals management's confidence in future cash flows β€” companies rarely cut dividends voluntarily.

Ex-DateEx-Dividend Date. You must own the stock BEFORE this date to receive the dividend. Buy on or after the ex-date and you miss that payment. The stock price typically drops by approximately the dividend amount on this date.
Year / QYear and quarter of the payment. Allows you to spot the payment frequency (4 per year = quarterly payer; 2 = semi-annual; 1 = annual).
AmountDividend per share in USD. Consistently increasing amount = company is growing its dividend (Dividend Growth investing). A cut is a major negative signal β€” management is warning that cash flow has deteriorated.
Price on Ex-DateStock price on the ex-dividend date. Used to calculate the single-payment yield.
Yield %Single Payment Yield = Dividend Amount Γ· Price on Ex-Date Γ— 100. This is per-payment yield. To estimate annual yield, multiply by the number of payments per year (typically Γ—4 for quarterly payers).
πŸ’‘ Sustainability check: Cross-reference with FCF Yield report. If the annualized dividend yield is higher than the FCF Yield, the company is paying more in dividends than it generates in free cash β€” the dividend may be unsustainable without borrowing.

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Built by independent investors and data engineers who wanted a professional-grade fundamental analysis tool without expensive subscriptions. We combine financial data engineering with value investing principles (Buffett, Lynch, Graham) to surface metrics most retail investors never see β€” SBC-adjusted P/E, FCF Conversion quality, Operating Leverage, ROIC β€” all in one place, free.

Data is sourced from Yahoo Finance API, processed daily and stored in a SQL data warehouse. This is an educational tool β€” always verify important figures from official sources before making investment decisions.

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