The Credit-Deterioration Signature: A 14-Bank Cohort with Texas Ratios Above 40%

The cohort is narrow and structurally distinct. Fourteen institutions clear all three predicates simultaneously, drawn from a universe of 4,108 active banks. Asset-band distribution tilts sharply toward smaller charters: seven institutions sit below $200M in assets, two in the $200M-$500M band, four in the $500M-$2B band, and one in the $10B-$50B band. Geographic concentration is diffuse — Pennsylvania (2), California, Illinois, New Hampshire, and New York together account for 42.9% of membership, with the remainder scattered across Kansas, Wisconsin, Louisiana, Colorado, and Texas.

The Texas ratio distribution inside the cohort is heavily skewed: median 47.14%, 75th percentile 71.34%, and a maximum of 203.17%. That maximum belongs to Nano Banc, California ($874.7M, CERT 58590), whose ratio is more than five times the cohort floor and signals a fundamentally impaired balance sheet rather than an early-stage deterioration. Farmers State Bank, Illinois ($68.4M, CERT 12107) sits at 104.78%, and Tioga-Franklin Savings Bank, Pennsylvania ($71.4M, CERT 33802) at 92.28%. Below these outliers, the cohort tightens: Wellington State Bank, Texas ($653.2M, CERT 1219) and Farmers Bank, Colorado ($291.2M, CERT 57335) sit in the 45-46% range — banks whose Texas ratios have crossed the supervisory threshold but whose trajectory, not level, is the defining concern.

The v0.1 precedent corpus does not contain records directly matched to this cohort's compound signature, and CharterIQ declines to import external analogs into a Sector Pulse artifact without EvidenceRecord support. The credit-driven pre-enforcement pattern this screen is designed to catch has a well-documented supervisory history, but pattern-matching at this corpus depth is not yet available for a fourteen-bank cohort of this granularity.

The mechanism analysis below therefore carries the analytical weight for this artifact. Readers should treat the cohort membership as a screening output — a set of institutions whose current metrics satisfy the compound predicate — rather than as a set of banks with documented precedent-matched trajectories toward specific supervisory outcomes.

The structural exposure works as follows. The Texas ratio — non-performing loans plus other real estate owned, divided by tangible equity plus loan-loss reserves — measures the extent to which a bank's problem assets could, in a stress scenario, consume its loss-absorbing capacity. A ratio above 40% has historically served examiners as a heuristic threshold at which credit deterioration begins to threaten capital adequacy directly. The threshold is not a regulatory bright line, but it appears consistently in supervisory commentary and in the retrospective literature on community bank failures.

What distinguishes this cohort from a simple Texas-ratio screen is the trajectory overlay. The predicate requires NPLs rising for three or more consecutive quarters with cumulative change of at least 20 basis points, and reserve coverage declining for two or more consecutive quarters. This combination is diagnostically important: rising NPLs alone can reflect a single problem credit or a lumpy CRE workout; declining reserve coverage alone can reflect release of prior over-provisioning. Together, sustained across multiple quarters, they describe a bank whose problem loans are growing faster than its willingness or ability to reserve against them. That is the signature of credit stress outrunning management's provisioning response.

The supervisory framework engaged here is the CAMELS Asset Quality component directly, with capital adequacy implications following mechanically from Texas ratios approaching or exceeding 100%. For the outlier institutions in this cohort — Nano Banc at 203%, Farmers State Bank at 105%, Tioga-Franklin at 92% — the arithmetic of the ratio itself implies that unreserved problem assets are a material fraction of tangible equity. For the cluster in the 45-50% range, the level is less alarming than the confirmed deteriorating trajectory, which is what the screen is designed to isolate.

1. Engagement positioning. The 14-bank cohort is small enough for name-by-name Klaros triage. The three outliers — Nano Banc (CERT 58590), Farmers State Bank (CERT 12107), and Tioga-Franklin Savings Bank (CERT 33802) — warrant separate treatment from the 45-50% Texas-ratio cluster. Advisory framing differs materially: the outliers face capital-adequacy conversations with their primary federal regulator in the near term, while the cluster faces earlier-stage examination scrutiny of credit administration, ACL methodology, and problem-loan workout capacity.

2. Examination preparation. For cohort members that engage Klaros, the near-term examination cycle is likely to focus on the CECL provisioning framework, individual credit reviews on the largest classified assets, and the adequacy of the qualitative and environmental factors in the ACL model. Institutions whose reserve coverage has declined while NPLs have risen should expect examiner challenge on the directional inconsistency, and should have documented rationale prepared in advance.

3. Cohort tracking. CharterIQ will re-run this screen quarterly. Movement into or out of the cohort — particularly institutions that clear the Texas-ratio threshold while their trajectory predicates remain satisfied — is the leading signal Klaros should monitor. Institutions that exit the cohort through improved reserve coverage rather than resolved NPLs warrant separate tracking, as the underlying credit problem may persist beneath a normalized headline metric.

4. Corpus development. The absence of precedent EvidenceRecords for this cohort is a known limitation of v0.1 and a priority for the v0.2 corpus buildout.