The 300% Line: A 1,127-Bank CRE Concentration Cohort

The cohort comprises 1,127 institutions, slightly more than one in four active U.S. banks. Membership is dominated by the community and mid-size bands: 479 institutions in the $500M–$2B range, 269 in the $200M–$500M range, and 239 in the $2B–$10B range. Ninety-one institutions sit below $200M; only five are above $50B. Geographic concentration is moderate but legible — Texas (83), California (74), Illinois (62), Wisconsin (59), and Minnesota (54) together account for 29.5% of cohort membership, a distribution consistent with regional CRE intensity in metropolitan and secondary commercial markets.

The CRE-to-risk-based-capital distribution within the cohort runs from 300.03 at the floor to 749.83 at the ceiling, with a median of 378.79 and a 75th percentile of 428.85. The right tail is populated by names that combine deep CRE specialization with modest balance sheets: Tioga-Franklin Savings Bank, Pennsylvania (FDIC CERT 33802) at 749.83; Metropolitan Commercial Bank, New York (FDIC CERT 34699) at 696.38; River City Bank, California (FDIC CERT 18983) at 690.02; and Beach Cities Commercial Bank, California (FDIC CERT 59290) at 673.72. The interquartile span — roughly 333 to 429 — is where the bulk of supervisory attention typically concentrates: clearly above the guidance threshold but well short of the outlier tail.

Direct precedent support inside the v0.1 corpus is thin and should be characterized honestly. Republic Bank, Pennsylvania (FDIC CERT 27332, failed April 2024) is a partial fit: CRE concentration was present in the failure stack, but multi-year credit deterioration and capital erosion were the proximate mechanisms. Republic is useful as a reminder that CRE concentration rarely operates as a standalone failure cause — it compounds other weaknesses — but it is not a clean CRE-only analog.

The deeper precedent base sits outside the v0.1 corpus. The 2008–2010 community bank failure cycle, in which CRE concentration was the dominant driver for a meaningful subset of more than 300 closures, is the regulatory experience that produced the 300% interagency threshold in the first place. Those failures predate the post-2017 corpus and are referenced here as illustrative history, not as direct analogs.

The practical implication: pattern matching at this corpus size cannot do the analytical work alone. A 27% incidence rate at the 300% threshold tells us the screen is broad, not selective. The mechanism analysis below carries more weight than the precedent reference for this cohort.

The 300% threshold is established by the 2006 Interagency Guidance on Concentrations in Commercial Real Estate Lending, which defines exposure above 300% of total risk-based capital — combined with rapid CRE growth — as the trigger for heightened risk management expectations. The threshold is not a regulatory limit and crossing it is not a supervisory finding; it is a screen that shifts the burden of demonstration. Institutions above the line are expected to maintain board-approved concentration limits, stress testing calibrated to CRE-specific scenarios, management information systems capable of property-type and geography decomposition, and capital planning that contemplates CRE-driven loss paths.

The structural exposure operates through three channels. First, CRE collateral values are sensitive to capitalization-rate movements, which in turn track long-end interest rates and credit spreads — meaning a CRE-concentrated balance sheet is also implicitly a duration-and-spread bet on commercial property. Second, CRE loans are typically larger and more idiosyncratic than residential or C&I exposures, so loss distributions are lumpier and a small number of defaults can absorb a disproportionate share of capital. Third, CRE workouts are slower than other asset classes; impaired exposures linger on the balance sheet, suppressing earnings while the resolution proceeds.

The 300% screen engages CAMELS C (capital adequacy relative to concentration) directly. It engages M (management's risk-management capability) by reference, since the guidance explicitly conditions supervisory comfort on the quality of CRE risk-management infrastructure. The screen does not by itself implicate asset quality (A) — that requires evidence of actual credit deterioration, which this cohort definition does not test. A bank can sit at 600% with a pristine credit book; it can also sit at 320% with a deteriorating one. The threshold identifies posture, not condition.

For Klaros, this cohort functions as the analytical floor for any CRE engagement, not the engagement itself. Three implications follow.

1. Engagement positioning. The 27% incidence rate means "above 300%" is too broad to be an engagement thesis on its own. Klaros's value to a bank in this cohort lies in the second-order screen — CRE growth rate, property-type concentration within the CRE book, geographic submarket exposure, capital trajectory, and the quality of the institution's existing concentration risk-management framework. The 300% line opens the conversation; it does not define the diagnosis. Klaros should treat membership as a routing signal toward more specific cohorts (CRE-plus-growth, CRE-plus-funding-pressure, CRE-plus-capital-thinness) rather than as a finding.

2. Examination preparation. Banks in this cohort — particularly the 269 institutions in the $200M–$500M band and the 91 below $200M, where risk-management infrastructure is often thinner than the concentration warrants — face predictable supervisory questions on CRE stress testing methodology, board-level concentration limits, and management information granularity. Klaros engagements should anticipate examiner expectations grounded in the 2006 Guidance and prepare clients to demonstrate, not assert, the adequacy of their frameworks.

3. Cohort tracking. This cohort is the denominator for every more selective CRE screen Klaros publishes. Quarter-over-quarter movement in cohort size, distributional shape (particularly the right tail above 500%), and geographic mix should be tracked as a sector indicator. A meaningful expansion of the right tail in any quarter is the signal worth surfacing.