
The Texas Ratio is a metric used to assess credit stress in banks by comparing “non-performing assets” to “buffer capital” to gauge the bank’s margin of safety against bad debt. It serves as an early warning tool in the industry and is often used alongside indicators like the Capital Adequacy Ratio.
“Non-performing assets” generally refer to loans that are unlikely to be recovered or have been seriously overdue, including long-overdue loans and repossessed collateral. The “buffer capital” comprises the funds set aside by a bank to absorb losses, mainly consisting of tangible equity capital and loan loss reserves.
The Texas Ratio is important because it directly shows how much of a bank’s “safety cushion” is being consumed by bad debt. A high ratio signals a thinning buffer and higher pressure on the bank’s solvency. Investors use it to screen for higher-risk banks, depositors and business clients evaluate counterparties’ soundness, and regulators see it as an early warning sign.
During credit upcycles, the Texas Ratio is usually low; in downturns, as non-performing loans rise, the ratio climbs. It provides a real-time signal of asset quality changes—addressing blind spots that can arise when focusing only on profitability or scale.
The calculation of the Texas Ratio follows a straightforward logic: the numerator represents sources of stress, while the denominator measures loss-absorbing capacity.
Step 1: Determine “Non-performing assets.” This typically includes seriously delinquent loans (e.g., those overdue by more than 90 days) and repossessed collateral (such as foreclosed real estate). These represent portions likely to generate losses.
Step 2: Determine “Buffer capital.” This includes tangible equity (net capital after deducting goodwill and other intangible assets) and loan loss reserves (funds set aside by the bank to cover potential bad debts). Both can absorb shocks if losses materialize.
Step 3: Calculate the ratio. Texas Ratio = Non-performing Assets ÷ (Tangible Equity + Loan Loss Reserves). For example, if a bank has 3 billion CNY in non-performing loans, 500 million CNY in repossessed collateral, 1 billion CNY in loan loss reserves, and 2.5 billion CNY in tangible equity, then Texas Ratio = (3 + 0.5) ÷ (2.5 + 1) = 3.5 ÷ 3.5 = 1.0, or 100%.
There is no regulatory hard line for the Texas Ratio, but commonly accepted industry thresholds are: below 50% is considered robust, between 50% and 100% warrants caution, and above 100% suggests that credit stress may exceed buffer capacity—indicating high risk. Interpretation depends on sector structure, collateral quality, and workout efficiency.
Thresholds are just a starting point. Analysis should also consider retained earnings capacity, speed of collateral liquidation, loan portfolio structure (e.g., real estate concentration), and macroeconomic context—avoid decisions based solely on this single metric.
The Texas Ratio and Capital Adequacy Ratio (CAR) measure different aspects of risk. CAR is a regulatory standard focused on “capital ÷ risk-weighted assets,” reflecting whether capital can cover overall risk. The Texas Ratio focuses on “bad debt pressure ÷ loss-absorbing buffer,” providing a direct view of asset quality under stress.
Simply put, CAR is like an overall health index in a medical checkup, while the Texas Ratio is a targeted reading for specific organs under stress. Used together, they provide a more comprehensive view of a bank’s stability.
Within banks, the Texas Ratio is used for asset quality monitoring and portfolio adjustment. Risk teams break down the ratio by region, sector, or product line to identify pressure points—then increase loan loss reserves or tighten lending where needed.
It also helps prioritize asset workouts: portfolios with rapidly rising ratios may be marked for special action, such as intensified collections, faster collateral liquidation, or asset securitization. Management also considers profit and capital plans to decide if capital injections or reduced dividends are needed to strengthen buffers.
While there are no “bank loans” in Web3, there are equivalent concepts for “bad debt” and “buffers.” On centralized platforms, margin trading and lending can generate bad debt; buffers come from insurance funds and platform-owned capital. The Texas Ratio framework can be adapted to track “bad debt balance ÷ (insurance fund + risk reserves).”
For example, in Gate’s derivatives and leverage services, insurance funds and risk management rules are publicly disclosed—users can monitor bad debt settlements and fund size changes, using a “crypto-native Texas Ratio” to evaluate platform resilience during extreme market events. Decentralized lending protocols work similarly: bad debt corresponds to undercollateralized liabilities, while buffers are reserve pools or liquidation rewards.
The Texas Ratio has limitations: it focuses primarily on credit risk and offers limited insight into interest rate risk, liquidity risk, or derivatives exposure. Numerator and denominator definitions can vary by accounting policy—so cross-institutional comparisons require caution.
Additionally, it’s a “static snapshot” and may lag behind fast-moving markets. Efficient collateral liquidation or rapid profit replenishment can drive high ratios down quickly; conversely, off-balance-sheet risks can make low ratios misleading. Always supplement with cash flow analysis, capital plans, and stress testing.
Step 1: Identify data sources. Reference quarterly bank profiles and Call Reports from the U.S. Federal Deposit Insurance Corporation (FDIC), or consult listed banks’ 10-Q/10-K filings and annual reports. Categories like non-performing loans, repossessed assets, loan loss reserves, and tangible equity are usually disclosed.
Step 2: Standardize definitions. Combine loans overdue more than 90 days with repossessed collateral as “non-performing assets,” and sum loan loss reserves with equity net of goodwill as “buffer capital.” As of 2025, FDIC and individual banks continue quarterly disclosure suitable for these calculations.
Step 3: Calculate and track. Use the Texas Ratio formula over time; pair results with macro data (unemployment rate, housing price index) and sector breakdowns for dynamic insights. Cross-check with Capital Adequacy Ratios, NPL ratios, and provisioning coverage ratios when necessary.
The Texas Ratio measures a bank’s resilience via “bad debt pressure ÷ buffer capacity,” serving as an early warning indicator for asset quality. It is simple and intuitive but should be used alongside metrics such as Capital Adequacy Ratio, provisioning coverage ratio, and liquidity measures—always interpreted within industry and macroeconomic context. Pay attention to data definitions and timeliness; beware off-balance-sheet risks or reporting delays. In Web3 contexts, its framework can help assess platform risk by comparing bad debt to insurance funds. For financial safety decisions, always use multiple indicators—not just one—to inform your risk assessment.
The Texas Ratio is mainly used in risk supervision of commercial banks and financial institutions. It measures the proportion of non-performing loans to capital—helping regulators evaluate asset quality and risk-bearing capacity. Regulatory bodies like the Federal Reserve view it as a key indicator of bank health; typically, ratios above 10% are considered higher risk.
A high Texas Ratio indicates that non-performing assets are excessive relative to capital buffers. This may trigger regulatory intervention—including supervisory meetings or penalties. In severe cases, regulators might raise capital requirements, restrict dividends or M&A activity. It can also impact a bank’s credit rating and cost of funding—threatening institutional stability and customer confidence.
You can check quarterly/annual reports for listed banks via the FDIC database or Federal Reserve financial data services. Major banks typically publish detailed asset quality data and ratio calculations in investor relations reports. Financial data aggregators like Wind and Bloomberg also offer real-time monitoring of such metrics.
The Texas Ratio only reflects non-performing loans relative to capital; it cannot capture overall asset quality, liquidity risk, or market risk. Banks must use multiple metrics—including NPL ratio, delinquency ratio, Capital Adequacy Ratio—for holistic evaluation. Over-reliance on one metric risks missing emerging threats (e.g., interest rate risk or credit derivatives exposure), so regulators stress multi-metric oversight frameworks.
Its core idea—using the proportion of bad assets to capital buffers for institutional risk assessment—is indeed applicable. On platforms like Gate, you can analogously track bad debt versus platform reserves or user fund risk relative to reserve pools. However, crypto-specific risks differ; evaluations should also consider smart contract audits, cross-chain bridge risks, liquidity risks, and other Web3-specific factors for tailored analysis.


