1st Trust Bank Inc: Bank Stress & Real-Estate Credit Exposure

At 80/100, 1st Trust Bank Inc's DLRadar bank-stress reading is severe; the institution is filed under FDIC Cert #57869. DLRadar builds the reading from the institution's federal call-report filings (capital, credit quality, earnings, real-estate exposure) and weights it by the markets it finances.

1st Trust Bank Inc runs a compact, single-state real-estate lending footprint — 3 U.S. counties across 1 state, spanning 37 ZIP codes. It concentrates most in Kentucky (3 counties). The recent trend is stable. Direction is the tell: climbing stress signals credit pulling back, which shows up in forced sales months later. At the county level, 1st Trust Bank Inc finances markets like Perry County, KY, Laurel County, KY, Madison County, KY — the specific places where its credit posture translates into local lending capacity. No bank is too small to score the same way: 1st Trust Bank Inc runs through the identical FDIC-based model as the largest lenders, refreshed each filing cycle, so its 3-county, 37-ZIP profile means exactly what it would for any institution nationwide. Rather than a standalone rating, the severe score is tied to real markets — every one of the 37 ZIP codes 1st Trust Bank Inc lends into is scored for foreclosure pressure, liens and forced-sale risk, letting lender stress and property distress be read side by side. What separates this from a plain credit rating is the geographic weighting — 1st Trust Bank Inc's 80/100 reading reflects not just its balance sheet but the 3 counties it lends into, so the score doubles as a map of where its stress will land first. A severe score on a footprint this size means the markets 1st Trust Bank Inc touches inherit a corresponding share of that lending pressure.

The acquisition angle is simple — lending capacity is what moves deals. As 1st Trust Bank Inc tightens across its markets, refinances fail, builders lose credit, and over-levered owners are pushed toward default and forced exit. It is an early-warning read, flagging distress before it reaches the MLS.

Across the country DLRadar applies the identical model to every FDIC bank, then ties each institution to parcel-level foreclosure, lien and ownership data where it lends. The result is an early, auditable read on supply, every figure anchored to public data.