UMB Bank's originations rose 41% in 2025, far faster than similar national banks, in the year of its merger with HTLF Bank, and its share rose in several western and Florida markets.
Growth far above similar banks
Similar lenders are national banks making between half and twice as many loans. UMB Bank's originations rose 41% to 2,686, against 10% for similar lenders and the whole market, higher than about five in six of them. The 2025 merger with HTLF Bank may have added to that; it also bought 165 loans from other lenders, against none the year before.
Share gains in western and Florida markets
Its share rose to 0.8% from 0.0% in Salt Lake City-Murray (rank 29 of 363), to 1.6% from 0.1% in Naples-Marco Island (rank 12 of 595) and to 0.7% from 0.3% in Denver-Aurora-Centennial (rank 32 of 754). HTLF Bank's filings count as UMB Bank's in these market figures, so the merger may account for some of the gains.
A jumbo lender with a mixed book
Jumbo loans (larger than the conforming limit) were 13.4% of its loans against 1.9%, higher than about five in six similar lenders. Home improvement, 27.8% of its loans, could explain why its typical loan, $175,000, was lower than peers' $225,000.
Lower rates; LMI lending near the middle
Its typical rate was 5.99% against 6.62%, lower than about four in five similar lenders. LMI (low- and moderate-income) borrowers took 24.2% of its loans against 27.2%, near the middle.
Questions the data can answer next
Which counties account for its share gains in Salt Lake City and Naples, and which competitors lost share there?
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
2,686 loans in 2025, against a peak of 3,648 in 2020.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. UMB Bank took 4,437 applications in 2025.
29.4% of its 2025 loans were refinance loans; 96.2% were Conventional.
Refinance 29.4% · Purchase 28.6% · Home improvement 27.8% · Other 14.2% Conventional 96.2% · FHA 3.0% · VA 0.6% · USDA (RHS or FSA) 0.2% · of 2,686 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
34 states, 119 metros, 308 counties
State
Loans
Share
Missouri
808
30.1%
Kansas
496
18.5%
Colorado
407
15.2%
Arizona
328
12.2%
Illinois
104
3.9%
Texas
102
3.8%
New Mexico
97
3.6%
Wisconsin
83
3.1%
Iowa
55
2.0%
California
52
1.9%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Kansas City
795
Phoenix-Mesa-Chandler
300
Denver-Aurora-Centennial
290
St. Louis
229
Albuquerque
56
Rockford
47
Colorado Springs
46
Springfield
46
Dubuque
45
Dallas-Plano-Irving
44
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
VNOO6EITDJ2YUEBMSZ83
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
936855
2004–2023
Respondent ID (the HMDA filer code before 2018)
38273
1990–1998
Respondent ID (the HMDA filer code before 2018)
123920
1999–2010
Respondent ID (the HMDA filer code before 2018)
9936855
2011–2017
Established 28 August 1902. Reported under HMDA 1990-2025.
Mergers, name changes, data editions and corrections: UMB Bank's data.
The data and the software behind these pages
UMB Bank's data
$215
UMB 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.