Arvest Bank ranks first or second in its Arkansas and Tulsa markets, but in 2025 its share fell in Tulsa and Little Rock as its lending grew more slowly than similar banks'.
Lower shares in Tulsa and Little Rock
Its share fell in Tulsa, to 5.6% from 7.2%, and in Little Rock, where it still ranks first. Arvest Bank's total lending still rose, so faster growth by competitors in those markets, rather than a pullback, could explain the lower shares.
Slower growth than similar banks
Originations rose 3% to 13,366, while similar lenders (state member banks making between half and twice as many loans) rose 10%, as did the whole market; its growth was lower than about seven in ten of them. It makes about half the loans it made in 2020.
Smaller loans, higher prices
Its typical loan was $165,000 against $205,000 for similar lenders, and its typical rate, 6.88% against 6.69%, was higher than about seven in ten of them. Higher-priced loans (a rate well above the average for similar loans) were 3.3% against 1.9%. Smaller loans, more RHS loans (guaranteed by the Department of Agriculture's Rural Housing Service), 1.1% against 0.7%, and more manufactured homes, 2.0% against 0.6%, could explain the higher pricing.
Fewer loans in majority-minority areas
10.1% of its loans were in majority-minority tracts against 16.9%, lower than about four in five similar lenders, which may reflect the Arkansas and Oklahoma markets it serves.
Questions the data can answer next
Which loan types and counties account for its lower shares in Tulsa and Little Rock?
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
13,366 loans in 2025, against a peak of 26,707 in 2020.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. Arvest Bank took 20,368 applications in 2025.
49.3% of its 2025 loans were purchase loans; 87.4% were Conventional.
Purchase 49.3% · Refinance 21.4% · Home improvement 17.3% · Other 12.0% Conventional 87.4% · FHA 8.5% · VA 3.0% · USDA (RHS or FSA) 1.1% · of 13,366 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
44 states, 196 metros, 552 counties
State
Loans
Share
Arkansas
6,558
49.1%
Oklahoma
3,409
25.5%
Missouri
2,139
16.0%
Kansas
735
5.5%
Texas
71
0.5%
Florida
46
0.3%
California
32
0.2%
Indiana
27
0.2%
North Carolina
26
0.2%
Tennessee
26
0.2%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Fayetteville-Springdale-Rogers
3,316
Tulsa
1,337
Kansas City
1,146
Little Rock-North Little Rock-Conway
1,144
Oklahoma City
693
Fort Smith
545
Joplin
482
Springfield
465
Jonesboro
243
Hot Springs
205
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
COINQMNIM6RBU631DD85
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
311845
2004–2023
Respondent ID (the HMDA filer code before 2018)
38728
1990–1995
Respondent ID (the HMDA filer code before 2018)
2311845
1996–2010
Respondent ID (the HMDA filer code before 2018)
9311845
2011–2017
Established 1 January 1871. Reported under HMDA 1990-2025.
Mergers, name changes, data editions and corrections: Arvest Bank's data.
The data and the software behind these pages
Arvest Bank's data
$215
Arvest 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.