BWLP

What it would cost to take over the entire firm (equity plus debt, less cash) per dollar of pre-interest, pre-tax, pre-depreciation operating earnings. Capital-structure-agnostic — directly comparable across heavily and lightly levered businesses, which a P/E can't do. The weakness: EBITDA ignores capex, so capital-intensive businesses look artificially cheap on this metric. Cross-check with EV/FCF when capex is meaningful.

Valuation expressed against the cash actually available to all capital providers after capex. Often more honest than EV/EBITDA when capital expenditure is meaningful relative to depreciation, because EBITDA ignores capex entirely while FCF reflects it. The cleanest single-number 'what would I pay to own this whole business?' valuation lens for capital-intensive firms.

Adjusts the numerator for debt and cash so heavily-levered or cash-rich companies become comparable on a revenue-multiple basis. Particularly useful for cross-industry valuation work where some firms run net cash and others carry meaningful debt loads. Same caveats as P/S: best read alongside gross margin to translate the multiple into expected steady-state earnings power.

Capital-structure-agnostic earnings yield. Pairs with Greenblatt ROC to compute the famous Magic Formula rank (the universe-rank of earnings yield plus universe-rank of return on capital). Pre-tax operating earnings divided by the full claim on the firm gives a cleaner cross-firm valuation comparison than P/E or earnings yield alone, because it strips out the distortions from leverage, cash, and tax structure.

Share price divided by per-share book value of common equity — what the market values the franchise at versus what the accountants say it's worth on paper. Most informative for asset-heavy businesses (banks, insurers, industrials) where book value approximates a liquidation floor; far less informative for asset-light franchises whose value sits in brand, software, or other intangibles that GAAP under-states or excludes entirely.

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.

Useful when earnings are negative, noisy, or one-time-distorted (early-stage growth, restructurings, cyclical troughs). Works best within an industry, not across — gross margin profiles vary so wildly that 1x P/S for a software company means something completely different from 1x P/S for a grocery chain.

Productivity of the asset base — how efficiently the firm converts assets into sales. Combined with net margin, this is the core of the DuPont decomposition: ROA = net margin × asset turnover. Two businesses can land at the same ROA via opposite paths: thin-margin / high-turnover (Costco, supermarkets) vs. fat-margin / low-turnover (luxury, software).

Lower is generally better for shareholder cash returns — less of every dollar of revenue gets reinvested in maintaining the asset base. But very low values can flag under-investment in a capital-intensive business, which catches up later via deteriorating capacity or competitiveness. Pairs with FCF margin to separate 'thin operating margin' from 'fat operating margin offset by heavy capex'.

Free cash flow the business throws off, divided by what the market currently charges for the equity. Treats the equity claim as a perpetual stream of free cash. More honest than earnings yield because it reflects the cash actually available to shareholders after all reinvestment. Cyclicals can swing below zero in a downturn — read with the trailing-cycle range.

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), 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.

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.

Net income divided by market cap, expressed as a percent. Lets you compare equity earning power directly to bond yields: a 6% earnings yield is the equity-side analog to a 6% coupon, with the difference that earnings can grow (or contract) while a bond coupon is fixed. The standard 'is the equity risk-premium adequate?' framing.

Captures the full cash return to shareholders — dividends plus share repurchases, expressed as a percentage of market cap. Buyback-heavy issuers (Apple, Alphabet) hide their real cash return behind a low headline dividend yield; total shareholder yield surfaces it. Increasingly the right lens for evaluating capital-return quality, especially for tech-era large-caps that prefer buybacks to dividends.

CCI measures how far the current typical price ((H+L+C)/3) sits from its rolling SMA, normalized by the mean absolute deviation. Originally built for commodity cycles by Donald Lambert; widely used as a generic momentum / overbought-oversold gauge on any asset. CCI is unbounded but ±100 is the conventional 'normal range' edge — readings beyond that are interpreted as strong directional thrusts or stretched extremes depending on context.

+1 while CCI is below -100 (oversold); -1 while CCI is above +100 (overbought); 0 inside the ±100 band.

+1 = oversold (stretched below the typical-price mean, mean-reversion buy bias), -1 = overbought (stretched above), 0 = inside the ±100 band.

Stochastic RSI applies the stochastic oscillator formula to RSI values rather than price, producing a faster, more sensitive 0-100 momentum read. Readings below 20 are oversold and above 80 overbought. The signal latches bullish when FastK crosses above FastD while in the oversold zone and stays on until FastK drops back below FastD; the bearish mirror latches on a cross down in the overbought zone. More reactive than plain RSI, so best filtered by trend context.

+1 latches when FastK crosses above FastD while FastK is below the oversold threshold (default 20), and holds until FastK falls back below FastD; -1 latches when FastK crosses below FastD while FastK is above the overbought threshold (default 80), and holds until FastK rises back above FastD; 0 otherwise.

+1 = bullish oversold cross still latched, -1 = bearish overbought cross still latched, 0 = no latched cross.

Williams %R maps close-to-range position onto a -100 to 0 scale: -100 means the close is right at the lookback period's low (oversold), 0 means right at the period's high (overbought). The oscillator's interpretation mirrors RSI but the scale is inverted. Like other OB/OS oscillators, it works best as a tactical timing aid inside an already-established trend, not as a standalone reversal trigger in choppy markets.

+1 while %R is below -80 (oversold); -1 while %R is above -20 (overbought); 0 in between.

+1 = oversold (bullish), -1 = overbought (bearish), 0 = mid-range.