Buy/no-buy verdict for tickers with earnings in the next 14 days. Composite of momentum (25%), quality (25%), valuation (15%), safety (15%), technical (10%), analyst (10%) — then adjusted by recent signal alerts, options flow, AI legend tally and pair z-scores. Hover any row for the rationale; hover flags for detail.

Batch DCF Intrinsic Value Analysis

Pre-computed intrinsic values for all S&P 500 stocks using sector-specific DCF models. Each company is valued with the model most appropriate for its industry.

Undervalued = intrinsic value > 20% above current price | Fair Value = within ±20% | Overvalued = intrinsic value > 10% below current price

Disclaimer: DCF models rely on assumptions about growth, discount rates, and terminal values. These are screening tools, not investment advice. Always conduct your own due diligence.

Sector-Specific Valuation Models

The calculator automatically selects the appropriate valuation model based on the company's industry:

Model	Sectors	Base Metric	Growth %	Discount %	Terminal %
FCF-based DCF	Tech, Industrials, Consumer, Healthcare	Free Cash Flow	15-25%	9-12%	2.5-3%
Dividend Discount (DDM)	Utilities, Telecom, Consumer Staples	Dividends per Share	2-6%	6-9%	1.5-2.5%
Excess Return	Banks, Asset Management, Diversified Financials	Net Income × (ROE - CoE)	5-10%	8-11%	2-2.5%
P/B × ROE (Insurance)	Property & Casualty, Life & Health, Reinsurance	Book Value × ROE ratio	5-8%	8-10%	2%
FFO-based (REITs)	All REIT sub-sectors	Net Income + Depreciation (FFO proxy)	3-5%	7-9%	2%

Why different models? FCF is meaningless for banks (deposits ARE the business), misleading for insurance (claims timing distorts cash flow), and understates REIT value (depreciation isn't real). Each model uses the metric that best reflects the sector's economics.

Forensic Accounting Analysis

This tool runs 13 forensic accounting checks on a company's financial statements to detect potential earnings manipulation, aggressive accounting, or financial distress. All checks use multi-year SEC EDGAR data.

Beneish M-Score (Earnings Manipulation Detector)

Developed by Professor Messod Beneish, the M-Score combines 8 financial ratios to estimate the probability that a company is manipulating its earnings. An M-Score above -1.78 suggests a high probability of manipulation. The model correctly flagged Enron before its collapse.

Component	What It Measures	Red Flag When
DSRI	Days Sales in Receivables vs prior year	> 1.0 (receivables growing faster than revenue)
GMI	Gross Margin Index	> 1.0 (margins deteriorating)
AQI	Asset Quality Index	> 1.0 (more "soft" assets like goodwill)
SGI	Sales Growth Index	> 1.0 (high growth can mask manipulation)
DEPI	Depreciation Index	> 1.0 (slowing depreciation to boost earnings)
SGAI	SGA Expense Index	> 1.0 (SGA rising vs revenue)
TATA	Total Accruals to Total Assets	> 0 (earnings not backed by cash)
LVGI	Leverage Index	> 1.0 (increasing leverage)

Other Checks

Check	What It Detects
Accruals Ratio	Earnings quality — high accruals mean income isn't backed by real cash flow
Cash Flow vs Net Income	Persistent divergence where net income grows but cash flow doesn't follow
Revenue vs Receivables	Channel stuffing — booking fake or premature sales that pile up as receivables
Inventory Days Spike	Obsolete inventory not being written down, or fictitious inventory
Asset Quality Trend	Rising soft assets (goodwill, intangibles) — may be capitalizing expenses
Capex vs Depreciation	Underinvestment or aggressive capitalization of expenses
Gross Margin Trend	Deteriorating margins may indicate cost misclassification or pricing pressure
SGA-to-Revenue	Sudden drops may mean deferring expenses to inflate earnings
Debt-to-Equity Trend	Rapid leverage increase without corresponding growth
Cash Burn Rate	How many months of cash remain if free cash flow stays negative
R&D Capitalization	Intangibles growing while R&D expense shrinks — possible expense capitalization
Free Cash Flow Yield	Persistently negative FCF with positive net income — potential house of cards

Disclaimer: These are forensic screening tools, not proof of fraud. Red flags warrant deeper investigation, not accusations. Many legitimate business events (acquisitions, restructuring, rapid growth) can trigger warnings.