Blank Checks Industry Financial Strength
Balance-sheet strength for Blank Checks Industry: liquidity, leverage and debt coverage, with cross-industry rankings.
Where the margin profile measures profit per dollar of sales and return on capital measures profit per dollar of capital, these ratios measure something different again — the balance sheet’s ability to absorb stress and service its debt. Commercial access adds net-debt ratios, Altman Z and the full leverage / coverage distribution across the peer set.
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Blank Checks Industry Liquidity, Leverage & Coverage
| Metric | Q2 2026 | Q1 2026 | Q4 2025 | Q3 2025 | Q2 2025 |
|---|---|---|---|---|---|
| Current Ratio (TTM) Current assets / current liabilities |
4.59x | Subscribe | Subscribe | Subscribe | Subscribe |
| ↳ Industry rank | n/a | Subscribe | Subscribe | Subscribe | Subscribe |
| Quick Ratio (TTM) Cash & equivalents / current liabilities |
3.39x | Subscribe | Subscribe | Subscribe | Subscribe |
| ↳ Industry rank | n/a | Subscribe | Subscribe | Subscribe | Subscribe |
| Debt to Equity (TTM) Total debt / shareholders’ equity |
0x | Subscribe | Subscribe | Subscribe | Subscribe |
| ↳ Industry rank | n/a | Subscribe | Subscribe | Subscribe | Subscribe |
| Leverage Ratio (TTM) Total assets / equity |
1.22x | Subscribe | Subscribe | Subscribe | Subscribe |
| ↳ Industry rank | n/a | Subscribe | Subscribe | Subscribe | Subscribe |
| Interest Coverage (TTM) EBITDA / interest expense |
7.01x | Subscribe | Subscribe | Subscribe | Subscribe |
| ↳ Industry rank | n/a | Subscribe | Subscribe | Subscribe | Subscribe |
| Debt Coverage (TTM) EBITDA / total debt |
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| ↳ Industry rank | n/a | Subscribe | Subscribe | Subscribe | Subscribe |
Multi-period liquidity, leverage and coverage ratios and peer rankings for Blank Checks Industry require a subscription or commercial license.
Balance-Sheet Strength in Credit, Fixed-Income & Risk
Liquidity, leverage and coverage answer a question that margins and returns do not: if revenue stalls or rates rise, can the business still pay what it owes? A highly profitable industry can still be fragile if it funds itself with short-dated debt, and a thin-margin one can be rock-solid if it carries little of it — which is why these ratios sit at the centre of credit and counterparty work.
Lenders size covenants and borrowing bases off debt-to-equity and coverage; rating analysts and fixed-income desks read solvency and coverage to place a credit against its peers; and risk teams feed sector leverage and coverage distributions into probability-of-default and expected-loss models. Where this industry's balance sheet sits relative to peers, and which way it is trending, frames each of those calls.
For the per-dollar-of-sales view see the margin profile; for profit earned on the capital employed see return on capital. This page is strictly the balance sheet's capacity to absorb stress.
| Metric | Q2 2026 TTM | Q1 2026 TTM | Q4 2025 TTM | Q3 2025 TTM | Q2 2025 TTM |
|---|---|---|---|---|---|
| Liquidity | |||||
| Current Ratio Current assets / current liabilities |
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| Quick Ratio Liquid assets / current liabilities |
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| Cash Ratio Cash / current liabilities |
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| Working Capital / Revenue (Current assets - liabilities) / revenue |
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| Leverage | |||||
| Debt to Equity Total debt / equity |
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| Leverage Ratio Total assets / equity |
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| Net Debt to Equity (Debt - cash) / equity |
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| Net Debt to EBITDA (Debt - cash) / EBITDA |
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| Debt to Assets Total debt / total assets |
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| Equity Ratio Equity / total assets |
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| Coverage & solvency | |||||
| Interest Coverage EBITDA / interest expense |
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| Debt Coverage EBITDA / total debt |
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| Operating Cash Flow / Interest OCF vs interest expense |
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| Operating Cash Flow / Debt OCF vs total debt |
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| Risk & distress | |||||
| Altman Z-Score Bankruptcy-risk composite |
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| Distress Risk Score Composite distress indicator |
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| Distressed Companies # constituents flagged distressed |
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| Interest-Cover Volatility (8q) Stability of coverage |
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| Leverage distribution (cross-sectional) | |||||
| Debt/Equity Median Cross-sectional median |
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| Debt/Equity 25th Pct. Lower quartile |
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| Debt/Equity 75th Pct. Upper quartile |
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| Debt/Equity Std. Dev. Dispersion across peers |
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| Debt/Equity IQR (Spread) P75 - P25 |
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| Coverage distribution (cross-sectional) | |||||
| Interest Cover Median Cross-sectional median |
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| Interest Cover 25th Pct. Lower quartile |
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| Interest Cover 75th Pct. Upper quartile |
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| Interest Cover Std. Dev. Dispersion across peers |
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| Interest Cover IQR (Spread) P75 - P25 |
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| Cross-industry percentile | |||||
| Debt/Equity Cross-Industry Percentile Where leverage ranks across all industries |
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| Interest-Cover Cross-Industry Percentile Where coverage ranks across all industries |
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| Debt/Equity Z-Score Std deviations from peer mean |
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| Interest-Cover Z-Score Std deviations from peer mean |
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Net-debt ratios, Altman Z, distress flags and the leverage / coverage dispersion stats for credit, risk and quant models require a commercial license.
| Metric | FY 2025 | FY 2024 | FY 2023 | FY 2022 | FY 2021 |
|---|---|---|---|---|---|
| Liquidity | |||||
| Current Ratio Current assets / current liabilities |
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| Quick Ratio Liquid assets / current liabilities |
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| Cash Ratio Cash / current liabilities |
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| Working Capital / Revenue (Current assets - liabilities) / revenue |
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| Leverage | |||||
| Debt to Equity Total debt / equity |
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| Leverage Ratio Total assets / equity |
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| Net Debt to Equity (Debt - cash) / equity |
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| Net Debt to EBITDA (Debt - cash) / EBITDA |
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| Debt to Assets Total debt / total assets |
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| Equity Ratio Equity / total assets |
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| Coverage & solvency | |||||
| Interest Coverage EBITDA / interest expense |
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| Debt Coverage EBITDA / total debt |
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| Operating Cash Flow / Interest OCF vs interest expense |
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| Operating Cash Flow / Debt OCF vs total debt |
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| Risk & distress | |||||
| Altman Z-Score Bankruptcy-risk composite |
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| Distress Risk Score Composite distress indicator |
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| Distressed Companies # constituents flagged distressed |
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| Interest-Cover Volatility (8q) Stability of coverage |
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| Leverage distribution (cross-sectional) | |||||
| Debt/Equity Median Cross-sectional median |
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| Debt/Equity 25th Pct. Lower quartile |
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| Debt/Equity 75th Pct. Upper quartile |
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| Debt/Equity Std. Dev. Dispersion across peers |
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| Debt/Equity IQR (Spread) P75 - P25 |
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| Coverage distribution (cross-sectional) | |||||
| Interest Cover Median Cross-sectional median |
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| Interest Cover 25th Pct. Lower quartile |
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| Interest Cover 75th Pct. Upper quartile |
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| Interest Cover Std. Dev. Dispersion across peers |
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| Interest Cover IQR (Spread) P75 - P25 |
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| Cross-industry percentile | |||||
| Debt/Equity Cross-Industry Percentile Where leverage ranks across all industries |
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| Interest-Cover Cross-Industry Percentile Where coverage ranks across all industries |
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| Debt/Equity Z-Score Std deviations from peer mean |
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| Interest-Cover Z-Score Std deviations from peer mean |
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Net-debt ratios, Altman Z, distress flags and the leverage / coverage dispersion stats for credit, risk and quant models require a commercial license.
How strong is the balance sheet in Blank Checks Industry
Blank Checks Industry carries about 0x debt for every dollar of equity and runs 1.22x of assets on that equity base. Earnings cover the interest bill about 7.01x. On the liquidity side it holds 4.59x of current assets for each dollar of near-term obligations.
Against the cross-industry distribution, that works out to more leverage than the typical industry, which sits near -0.06x debt to equity. On a cross-industry basis its leverage sits about 0.04 standard deviations above the average industry. The aggregate Altman Z reads 9.6, a coarse solvency screen that travels better as a relative marker across the panel than as a single absolute number.
For a credit-research or risk desk this is a comparison read. Where this industry's leverage and coverage sit against the cross-industry distribution is what defends a peer set and separates a structural balance-sheet position from a cyclical one. Rating analysts, private-credit teams and Basel / IFRS 9 modelers all start from the same sector distribution before they price a single name.
The series runs back about twenty years, recorded point-in-time and normalized the same way for every industry. That is what makes it useful to people building models rather than reading pages: the same panel that feeds a PD or ECL model feeds a covenant backtest, and an agent grounded on this industry's 0x debt to equity, 7.01x interest cover and where it sits in the leverage distribution answers more steadily than one reasoning from a stack of raw filings, because the comparable-numbers problem is already solved. It is a dataset built to be queried; the credit judgement stays with whatever model you point at it.
Industry Benchmarking Dataset for Institutional Use
CommercialThe data presented above is part of our institutional-grade Industry Benchmarking Dataset, designed for integration into credit-risk models, fixed-income analytics, and internal banking systems. The full dataset is available under a Commercial License, with delivery via API or bulk CSV datasets.
Margin benchmarks across the full industry distribution
Gross, operating, EBITDA, pre-tax, net, and free cash flow margins - delivered as TTM, quarterly, and annual series with P25 / median / P75 / standard deviation for every reporting period.
Revenue, income & cash flow growth across 13+ line items
Industry-level growth benchmarks for every major P&L and cash flow line - with breadth indicators showing what share of companies posted positive growth, acceleration metrics, and rolling TTM comparisons.
Industry valuation multiples with 5-year context & Z-scores
P/E, P/S, P/FCF, P/Book, EV/EBITDA - current and trailing - with five-year averages, percentile ranks, Z-scores, and a composite valuation score to place the industry in historical context.
Productivity, turnover ratios & cash conversion benchmarks
Revenue and income per employee, asset and receivables turnover, days sales outstanding, days inventory, days payables, and the full cash conversion cycle - benchmarked across the industry distribution.
ROA, ROE, ROIC & DuPont decomposition benchmarks
Return metrics measuring how effectively management allocates capital - with incremental ROIC, DuPont decomposition, FCF quality indicators, and a composite management effectiveness score across the industry.
Leverage, liquidity & debt coverage across the industry
Debt-to-equity, interest and debt coverage, quick ratio, working capital, leverage ratios - full distribution statistics - in standardized, audit-ready format suited for credit workflows, compliance, and ESG reporting.
Decision Framework & Data Access
Power onboarding, benchmarking, and quantitative analysis with institutional-grade datasets structured for direct integration into financial models and risk frameworks.
- Industry benchmarking datasets (valuation, growth, profitability)
- Designed for quant models and benchmarking workflows
- Consistent time-series structure (Quarterly, TTM, Annual)
- Coverage across 100+ industries and 20+ years of history