HWM

How many dollars of share price the market is willing to pay for one dollar of trailing-twelve-month earnings. The universal valuation anchor for profitable companies — useful for cross-sector comparison and as a quick read on whether the market expects earnings growth, decline, or a quality re-rating. Sensitive to one-off items in the denominator (write-downs, tax holidays, share buybacks); pair with EV/EBITDA when capital structure or non-cash charges look noisy.

Sanity-check on earnings quality — a ratio of 1.0 means every dollar of GAAP earnings shows up as free cash flow. Persistently below 1.0 means working-capital build or capex is consuming earnings; persistently above 1.0 is unusual and may flag accounting conservatism (heavy non-cash charges) or a one-time release. Trend matters more than absolute level.

Easier to compare than operating margin across firms with very different leverage and depreciation profiles, because it adds D&A back. Software platforms commonly run above 30%; capital-light service businesses cluster around 20%; capital-intensive industrials sit below 15%. The weakness: ignores the cash needed to maintain the asset base — pair with FCF margin for a complete profitability picture.

End-to-end conversion ratio: of every dollar of revenue, how much falls through to genuine free cash flow available to all capital providers? More honest than net margin because it accounts for the capex needed to maintain (and grow) the business. The single best indicator of whether the business is a quality compounder or a GAAP-earnings illusion.

Operating margin minus interest, tax, and below-the-line items. Useful but noisier than operating margin: tax rate changes, debt-service shifts, and one-time items can move net margin year-over-year even when the operating business is unchanged. Always pair with operating margin and FCF margin — divergence between them is a tell about leverage, tax structure, or earnings quality.

Captures the leverage between revenue and operating profit — the core test of whether a business converts sales into income at the operating level. Independent of capital structure (excludes interest) and tax-jurisdiction noise. Trend matters as much as level: an improving operating margin indicates pricing power or operational efficiency gains; a falling margin signals input-cost pressure, wage inflation, or competitive erosion.

Capital-efficiency measure that ignores how the assets are financed. Useful for comparing within a sector but heavily biased by industry — banks and utilities run low ROA by design (huge balance sheets), software and franchise businesses run high ROA (asset-light). The DuPont decomposition links it to ROE: ROE = ROA × (assets / equity) × (1/(1-tax)), so leverage inflates the gap between ROA and ROE.

Pre-tax cousin of ROIC using operating capital employed (long-term debt plus equity, approximately equal to total assets minus current liabilities). Damodaran publishes ROCE by industry annually, so it benchmarks cleanly against sector norms. Particularly useful for capital-intensive businesses where you want to see pre-tax returns on the long-term capital base.

The headline profitability metric. Net income divided by average book equity tells you how productive each dollar of shareholders' capital is. High sustained ROE compounds book value when the business can reinvest at a similar return. Two warnings: ROE rises mechanically with leverage (high D/E inflates ROE without making the business better), and aggressive buybacks can shrink the equity denominator faster than they shrink earnings, artificially boosting ROE even as fundamental returns are flat.

Measures how productive the actual operating capital base is, independent of capital structure. Strips out the effects of cash, leverage, and below-the-line items so you see the underlying economic engine. The benchmark is the firm's weighted-average cost of capital (WACC) — sustained ROIC above WACC creates value, sustained ROIC below WACC destroys it. The single most important profitability metric for long-term compounding.

Bottom-line growth on a per-share basis — captures both operating progress and any net buyback effect. The denominator uses the absolute value of prior EPS so a turnaround from negative to positive earnings reads with the conventional sign rather than producing arithmetic nonsense. Pair with revenue growth to separate real franchise expansion from buyback-driven per-share lift.

Strips out receivables and inventory entirely, leaving only cash and equivalents over current liabilities. Stress-tests whether the business can meet its near-term obligations even if collections seize up and inventory becomes unsaleable. The harshest, simplest liquidity check — used as a credit-stress indicator.

Whether the company can cover near-term obligations from near-term assets. Below 1.0 doesn't necessarily mean insolvent (operating cash flow can cover the gap), but it's worth a closer look. Conversely, very high current ratios can signal trapped working capital that's earning no return.

How much the company funds itself with debt vs. equity. Higher leverage amplifies both returns (through ROE) and risk (through interest coverage and refinancing exposure). The 'right' level varies enormously by industry — utilities and REITs run higher than industrials, software runs near zero. Becomes unstable when book equity is small or negative; complement with debt-to-assets in those cases.

Bond covenants are commonly written against this ratio because it directly answers 'how many years of operating cash earnings would it take to retire all the debt?' Above ~5x is high-yield territory for industrials; investment-grade industrials typically run below 3x. Negative net debt (more cash than debt) means the firm could pay off its bonds and still hold cash — a common position for mature tech.

The acid-test variant of current ratio strips inventory from the numerator, since inventory can be stale, obsolete, or written down before it converts to cash. A purer view of near-term liquidity than current ratio. Sweet spot around 1.2x; below 0.5x signals real liquidity stress, above 3x suggests trapped working capital that could be returned to shareholders or reinvested.

How long the average sale sits as a receivable before becoming cash. Earnings-quality flag: receivables growing faster than revenue is one of the cleanest tells for revenue recognition stretching — Beneish flagged exactly this pattern as a primary fraud indicator. Industry context matters: B2B / project businesses run longer DSO than retail, but the trend is more important than the level.

DuPont productivity measure. Combined with margin, it tells the asset-light vs. asset-heavy story: low turnover with high margin is the luxury / branded model, high turnover with thin margin is the supermarket / discount model. Very high turnover in retail can also flag stockouts (lost sales) — the metric reads best industry-relative, not absolute.

Edward Altman's 1968 five-factor distress signal, originally calibrated against US public manufacturers that went bankrupt vs. those that didn't. Above 3.0 is the conventional 'safe' zone, 1.8–3.0 is the grey zone, below 1.8 historically associates with elevated bankruptcy risk within two years. Less reliable for non-manufacturing businesses, financial firms, and asset-light franchises — but the conceptual frame (liquidity + profitability + leverage cushion) translates broadly.

Beneish (1999) calibrated eight financial-statement indices against a sample of known earnings manipulators vs. matched controls. M < -2.22 reads as 'unlikely manipulator'; M ≥ -1.78 reads as 'likely manipulator'; the gap between is grey. Companion to Altman Z but for fraud risk rather than bankruptcy. Famously flagged Enron prior to the public disclosure of accounting fraud.

Richard Sloan's 1996 accruals-quality measure. Persistent positive accruals (net income meaningfully exceeds cash flow) tend to mean-revert via earnings disappointments — Sloan documented that high-accruals firms underperform low-accruals firms over the following year. Large negative values are usually fine but can flag one-time working-capital releases or non-cash drags. Phase D-2 made this a target-window metric centred on zero.

Designed to buy oversold pullbacks within an established uptrend (price above the 200-day SMA). Uses a 2-period RSI rather than the standard 14 to make it hyper-responsive to short-term swings. Holds while RSI(2) is below an exit threshold and exits when RSI(2) crosses above 60 — a classic 1–4 day mean-reversion trade. Whipsaws hard outside an uptrend regime, hence the regime filter.

+1 when price is above regime_ma and RSI(2) drops below oversold; held while inside the trade; back to 0 when RSI(2) crosses above exit.

+1 = pullback-buy state active, 0 = flat. Bear-side variant uses the symmetric short rule.

Fires on the bar where the MACD line (EMA12 minus EMA26) crosses through the signal line (EMA9 of MACD). Bullish when MACD crosses up through signal, bearish when it crosses down. Far more commonly used as a trade trigger than divergence — see macd_divergence for the slower confirmatory tell. Whipsaws in chop; cleanest when combined with a trend-regime filter.

+1 on bullish cross (MACD crosses up through signal); -1 on bearish cross (MACD crosses down through signal); 0 otherwise.

+1 = bullish MACD-signal cross, -1 = bearish MACD-signal cross.

Reports whether the close sits within the configured proximity (default 2%) of the rolling 252-bar high or low. New-highs and new-lows are universally watched screening filters — momentum and breakout strategies start from here, and the broad market's new-high / new-low spread is a foundational breadth indicator.

+1 while close is within proximity of the 252-bar high; -1 while close is within proximity of the 252-bar low; 0 mid-range.

+1 = near 52-week high, -1 = near 52-week low, 0 = mid-range.