NBKC Bank is a nationwide lender of large loans with a VA book far larger than similar banks', and its originations fell 13% in 2025 while those banks grew.
A VA lender among state banks
VA loans (guaranteed by the Department of Veterans Affairs) made up 22.1% of its lending, against 2.7% at similar lenders (state non-member banks making between half and twice as many loans), higher than more than nine in ten of them. It lends in 358 metros, and ranks 14 of 659 in Kansas City, where its share held at 1.6%.
Fell while peers grew
Originations fell 13% to 6,849, while similar lenders grew 11% and the whole market 10%, putting it among the lowest tenth for growth. They are about a third of the 20,045 of 2020. Less refinancing, which was 32.6% of its loans, or a choice to lend less in some markets could explain the fall.
Large loans, few LMI borrowers
Its typical loan was $395,000, against $265,000, larger than more than nine in ten peers. It made 15.3% of loans to LMI (low- and moderate-income) borrowers and 11.0% in LMI areas, against 28.8% and 17.3%, the lowest among peers. Its large loans may mean fewer borrowers fall under the income limits. Its share in majority-minority areas, 16.5% against 15.4%, was near the middle.
Low rates
Its typical rate was 6.12%, against 6.62%, among the lowest tenth, and 0.6% of loans were higher-priced (a rate well above the average for similar loans), against 2.5%. Its large VA share may account for part of this.
Questions the data can answer next
In which metros did its originations fall most in 2025, and did VA or conventional lending shrink more?
Similar lenders: same lender type, originations between half and twice the lender's in the data year.
Written from the 2025 HMDA data and checked figure by figure against it.
FIG. 1 — LOANS ORIGINATED, 2018–2025
6,849 loans in 2025, against a peak of 20,045 in 2020.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. NBKC Bank took 11,823 applications in 2025.
64.5% of its 2025 loans were purchase loans; 73.7% were Conventional.
Purchase 64.5% · Refinance 32.6% · Other 2.7% · Home improvement 0.1% Conventional 73.7% · VA 22.1% · FHA 4.2% · of 6,849 loans. Purchase: buying a home. Refinance: replacing an existing mortgage, including cash-out. FHA: insured by the Federal Housing Administration. VA: guaranteed by the Department of Veterans Affairs. Conventional: neither.
SOURCE: FFIEC HMDA 2025, LOANS ORIGINATED
Where it lends, 2025
51 states, 358 metros, 1,120 counties
State
Loans
Share
Missouri
523
7.6%
Texas
518
7.6%
Kansas
430
6.3%
Florida
383
5.6%
North Carolina
354
5.2%
Washington
335
4.9%
California
313
4.6%
Georgia
257
3.8%
Virginia
252
3.7%
Colorado
206
3.0%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Kansas City
690
Charlotte-Concord-Gastonia
151
Chicago-Naperville-Schaumburg
132
Houston-Pasadena-The Woodlands
128
Denver-Aurora-Centennial
118
Dallas-Plano-Irving
117
Atlanta-Sandy Springs-Roswell
114
Arlington-Alexandria-Reston
106
Phoenix-Mesa-Chandler
99
St. Louis
93
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
213800XR2TCBQJSF1X93
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
2747587
2004–2023
Respondent ID (the HMDA filer code before 2018)
123748
2001–2014
Respondent ID (the HMDA filer code before 2018)
335014
2015–2017
Established 30 March 1999. Reported under HMDA 2001-2025.
Mergers, name changes, data editions and corrections: NBKC Bank's data.
The data and the software behind these pages
NBKC Bank's data
$215
NBKC Bank and its peers, 2018–2025: every application in the HMDA data, cleaned and corrected, as Parquet files, with the Jenner programs that made these pages.
Every mortgage application reported under HMDA from 1990 to 2025, cleaned and corrected, every lender followed across name changes and mergers, with the market-share and fair-lending tables behind these pages and the Jenner programs that built them: the warehouse and the datamart, as Parquet files.
Jenner runs programs written in the SAS language. It drew every chart on these pages and fitted the fair-lending model, PROC GLIMMIX on 3.5 million applications. Run the programs that come with the data, or your own.