Fundamentals Unscored
— / 100How the books look — profitability, leverage, valuation, growth. · 46 metrics weighted.
Fiscal Wizard · Single-issue tearsheet
Run #63Entergy Utility Group, Inc. 1ST MTG 5% 52
Composite verdict
Insufficient data to issue a verdict on this run.
Fundamentals Unscored
— / 100How the books look — profitability, leverage, valuation, growth. · 46 metrics weighted.
Technicals Unscored
— / 100How the chart looks — momentum, trend, volume, volatility. · 0 signals weighted.
Breakdown
Empty pane
Every chip in either subscore card drills into the metrics or signals that fed it — including the formula, the threshold band, and what the current reading means for ENJ.

Fundamentals · Valuation
Strong Valuation — most metrics are scoring well above the professional bands' midpoints.
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | lower |
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.
EV = market_cap + total_debt + preferred_equity + minority_interest - cash; EV/EBITDA = EV / ebitda_ttm
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | lower |
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.
EV/FCF = (market_cap + total_debt - cash) / free_cash_flow_ttm
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | lower |
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.
EV/Sales = (market_cap + total_debt - cash) / revenue_ttm
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | lower |
The multiple equity analysts most commonly quote because it reflects expected earnings rather than the trailing window. Same caveats as trailing P/E plus one extra: the denominator depends on consensus estimates, which can be systematically optimistic going into a downturn or pessimistic at a cyclical trough. Worth cross-checking against trailing P/E and sell-side estimate trend.
Forward P/E = price / forward_eps
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | higher |
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.
Greenblatt EY = EBIT / Enterprise Value * 100
Market values the franchise far above its book equity — typical for branded consumer, software, and platform businesses where the brand and customer relationships are worth more than the depreciated PP&E on the balance sheet.
| Raw value | 0.4x |
|---|---|
| Score (0-100) | 75.00 |
| Weight | 1.000× |
| Direction | lower |
| Industry Bucket | Utility (General) |
| Industry Median | 1.8100 |
| Industry N | 14.0000 |
| Industry Rank | 75.0000 |
| Industry Source | damodaran-pbvdata-2026-01 |
| Industry Asof | 2026-01 |
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.
P/B = market_cap / common_equity
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | lower |
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.
P/E = market_cap / net_income_ttm
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | lower |
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.
P/S = market_cap / revenue_ttm
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | target |
Divides the trailing P/E by the annualised three-year EPS growth rate (in percentage points). Below 1.0 is conventionally read as 'cheap relative to growth'; above 2 implies the multiple is well ahead of recent growth. Sensitive to which growth window you choose and unstable when earnings cross zero — flips sign or explodes when prior EPS is negative.
PEG = (P/E) / eps_growth_3y_pct
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | target |
Peter Lynch's adjustment to PEG: adds the dividend yield to the growth rate in the denominator so that mature dividend payers don't get unfairly punished by a low growth rate alone. Sweet spot is 1.0 (P/E equals growth plus yield); below 0.5 often signals a broken growth assumption rather than genuine value; above 2 is over-paying.
PEGY = (P/E) / (eps_growth_rate_pct + dividend_yield_pct)

Fundamentals · Profitability
Insufficient data to score this section.
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | higher |
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).
Asset Turnover = revenue_ttm / average_total_assets
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | lower |
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'.
Capex to Sales = capital_expenditures_ttm / revenue * 100
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | target |
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.
Cash Conversion = free_cash_flow_ttm / net_income_ttm
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | higher |
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.
EBITDA Margin = ebitda / revenue * 100
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | higher |
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.
FCF Margin = (free_cash_flow_ttm / revenue_ttm) * 100
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | higher |
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.
FCF Yield = (free_cash_flow_ttm / market_cap) * 100
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | higher |
Joel Greenblatt's reformulation of return-on-capital, designed to filter for businesses that earn high pre-tax returns on the tangible operating capital that actually generates EBIT. Excludes goodwill, acquired intangibles, and financial assets so that two firms with the same operating economics rank similarly regardless of acquisition history. Pairs with Greenblatt's Earnings Yield (EBIT/EV) to produce the famous 'Magic Formula' rank — quality stocks at value prices.
Greenblatt ROC = EBIT / (working_capital + net_fixed_assets) * 100
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | higher |
First-line profitability measure — how much revenue is left after the direct cost of producing it. Stable or rising gross margin signals pricing power and low input-cost exposure; falling gross margin is one of the earliest reliable signals of competitive pressure or commodity-input squeeze. Industry context is everything: 30% gross margin is excellent for a grocery chain and disastrous for a software company.
Gross Margin = ((revenue_ttm - cogs_ttm) / revenue_ttm) * 100
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | higher |
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.
Net Margin = (net_income_ttm / revenue_ttm) * 100
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | target |
Pre-capex version of cash conversion: compares operating cash flow directly to net income, before subtracting capex. Numbers persistently below 1.0 suggest accruals are doing the work (revenue recognised before cash collected, or expenses deferred). Numbers above 1.0 are typically driven by D&A exceeding true economic depreciation — a mild positive sign but not always meaningful.
OCF/NI = operating_cash_flow_ttm / net_income_ttm
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | higher |
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.
Operating Margin = (operating_income_ttm / revenue_ttm) * 100
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | higher |
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.
ROA = (net_income_ttm / average_total_assets) * 100
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | higher |
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.
ROCE = ebit / (total_assets - current_liabilities) * 100
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | higher |
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.
ROE = (net_income_ttm / average_common_equity) * 100
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | higher |
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.
NOPAT = operating_income_ttm * (1 - effective_tax_rate); invested_capital = shareholders_equity + total_debt - cash; ROIC = NOPAT / avg_invested_capital * 100
Fundamentals · Growth
Insufficient data to score this section.
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | higher |
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.
EPS Growth = (diluted_eps_ttm - diluted_eps_prior_ttm) / abs(diluted_eps_prior_ttm)
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | higher |
Top-line growth — the cleanest way to see whether the franchise is expanding. Best read alongside margin trend: revenue rising while margin compresses is often discount-driven volume rather than real growth, and can mask underlying weakness. Compare to industry peers — what looks weak in absolute terms can be best-in-sector if the industry is contracting.
Revenue Growth = (revenue_ttm - revenue_prior_ttm) / revenue_prior_ttm

Fundamentals · Balance Sheet
Insufficient data to score this section.
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | target |
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.
Cash Ratio = cash_and_equivalents / current_liabilities
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | target |
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.
Current Ratio = current_assets / current_liabilities
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | lower |
Useful complement to debt-to-equity. Banks, REITs, and post-buyback firms can carry small or even negative book equity, which makes D/E unstable; D/A stays well-behaved because total assets is always positive. Industry context still matters — utilities run higher than software by design — but the comparability across capital structures is much better.
Debt-to-Assets = total_debt / total_assets
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | lower |
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.
Debt-to-Equity = total_debt / common_equity
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | higher |
Solvency-under-stress measure. A ratio of 1x means EBIT exactly covers interest with nothing left over for taxes, capex, or principal; 5x is comfortable for an industrial; below 2x is a credit-watch level. Especially important when leverage is rising or profits are cyclical — the ratio should be evaluated at a stress-cycle EBIT, not the current peak.
Interest Coverage = EBIT / interest_expense
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | lower |
Strips out short-term operating debt and revolver use to focus on the permanent capital structure. Useful when comparing companies that fund working capital differently — a high D/E that's mostly short-term commercial paper means something different from a high D/E that's mostly long-dated bonds. Watch refinancing maturities alongside the level.
LT D/E = long_term_debt / common_equity
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | lower |
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.
Net Debt / EBITDA = (total_debt - cash_and_equivalents) / ebitda_ttm
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | target |
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.
Quick Ratio = (current_assets - inventory) / current_liabilities
Fundamentals · Efficiency
Insufficient data to score this section.
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | lower |
The single best operations-quality metric. Negative CCC means the firm is funded by suppliers — the customer pays before the supplier needs to be paid (Apple, Costco, Amazon at scale). Long CCC ties up working capital and forces operating-loan dependence. Combines three sub-metrics: days inventory outstanding, days sales outstanding, days payable outstanding.
CCC = DIO + DSO - DPO
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | lower |
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.
DSO = 365 * average_accounts_receivable / revenue
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | higher |
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.
Inventory Turnover = cogs / average_inventory

Fundamentals · Income
Insufficient data to score this section.
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | stepped |
Direct cash income from holding the share. Stable dividend yield over time often signals capital discipline and predictable cash generation; abnormally high yield is frequently a warning that the dividend isn't covered by free cash flow and may be cut. Always read alongside payout ratio and FCF coverage.
Dividend Yield = (dividends_per_share_ttm / price) * 100
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | higher |
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.
Earnings Yield = (net_income_ttm / market_cap) * 100
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | target |
Sustainability check on the dividend yield. Below 30% means the dividend has substantial room to grow; 30–60% is the conventional sweet spot for a mature payer; above 85% is stretched and frequently precedes a cut. REITs and utilities run higher than the broad market by design — REIT payouts above 80% are normal because the structure requires distributing most income.
Payout Ratio = dividends_paid_ttm / net_income_ttm

Fundamentals · Composite
Insufficient data to score this section.
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | stepped |
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.
Z = 1.2X1 + 1.4X2 + 3.3X3 + 0.6X4 + 1.0X5; X1=working_capital/total_assets, X2=retained_earnings/total_assets, X3=ebit/total_assets, X4=market_cap/total_liabilities, X5=revenue/total_assets
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | stepped |
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.
M = -4.84 + 0.92*DSRI + 0.528*GMI + 0.404*AQI + 0.892*SGI + 0.115*DEPI - 0.172*SGAI + 4.679*TATA - 0.327*LVGI
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | stepped |
Joseph Piotroski's 2000 score for distinguishing winners from losers among low-P/B value stocks. Asks nine yes/no questions across profitability (4 questions), leverage and liquidity (3 questions), and operating efficiency (2 questions); each 'yes' adds one point. The original study found that high-F-score value stocks meaningfully outperformed low-F-score value stocks, suggesting it's a useful filter for separating real value from value traps.
Sum of 9 binary indicators across profitability (ROA>0, CFO>0, ROA improving, CFO>NI), leverage (LT debt/assets falling, current ratio rising, no share issuance), and operating efficiency (gross margin rising, asset turnover rising)
| Raw value | — |
|---|---|
| Score (0-100) | — |
| Weight | 1.000× |
| Direction | target |
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.
Sloan = (net_income_ttm - operating_cash_flow_ttm - cash_flow_from_investing_ttm) / total_assets
Most-recent reported values. Bar shows where each value lands on the 0–100 absolute-band score, with ticks at the 40 / 55 / 70 verdict cutoffs.
Valuation