Bank OZK's originations rose 43% to 2,626 in 2025, faster than about nineteen in twenty similar banks, and its loan dollars rose to $1.29 billion from $397.4 million.
Growth far ahead of similar banks
Similar lenders are state non-member banks making between half and twice as many loans. Their originations rose 13% and the whole market's 10%. Bank OZK's had fallen each year from 2018 to 2023, to 857, before rising to 1,840 and then 2,626. It also bought 817 loans, against 2 at the typical similar bank.
Small loans, many for home improvement
Purchases were 36.1% of its loans, home improvement 30.9%, refinancing 23.2% and other purposes 9.8%. Its typical loan was $125,000 against $205,000, lower than about nine in ten similar banks, which fits a mix with so many home-improvement loans.
More lending in LMI and majority-minority areas
Loans in LMI (low- and moderate-income) areas were 24.8% against 16.0%, higher than about nineteen in twenty similar banks, and loans in majority-minority areas 23.1% against 9.4%, higher than about four in five. Its LMI borrower share, 27.8% against 28.3%, was near the middle. Its markets include Miami, Los Angeles, Chicago, Atlanta and Dallas, which could account for part of the difference.
Few higher-priced loans
Higher-priced loans (a rate well above the average for similar loans) were 0.3% against 1.6%, down from 23.4% five years before. Its typical rate, 5.99% against 6.88%, was lower than about nineteen in twenty similar banks.
Questions the data can answer next
Which loans and markets account for the rise in loan dollars to $1.29 billion while the typical loan was $125,000?
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
2,626 loans in 2025, its most in any year since 2018.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. Bank OZK took 5,040 applications in 2025.
36.1% of its 2025 loans were purchase loans; 96.4% were Conventional.
Purchase 36.1% · Home improvement 30.9% · Refinance 23.2% · Other 9.8% Conventional 96.4% · FHA 2.5% · VA 0.7% · USDA (RHS or FSA) 0.4% · of 2,626 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
19 states, 78 metros, 226 counties
State
Loans
Share
Arkansas
1,001
38.1%
Georgia
707
26.9%
Florida
429
16.3%
North Carolina
284
10.8%
Texas
160
6.1%
Tennessee
15
0.6%
South Carolina
8
0.3%
Alabama
6
0.2%
Louisiana
3
0.1%
Missouri
3
0.1%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Little Rock-North Little Rock-Conway
446
Atlanta-Sandy Springs-Roswell
313
Fayetteville-Springdale-Rogers
119
North Port-Bradenton-Sarasota
110
Charlotte-Concord-Gastonia
97
Marietta
96
St. Petersburg-Clearwater-Largo
84
Fort Smith
74
Valdosta
69
Hot Springs
68
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
549300VYK2WBD7SST478
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
107244
2004–2023
Respondent ID (the HMDA filer code before 2018)
3110
2000–2016
Respondent ID (the HMDA filer code before 2018)
9107244
2017–2017
Established 3 March 1903. Reported under HMDA 2000-2025.
Mergers, name changes, data editions and corrections: Bank OZK's data.
The data and the software behind these pages
Bank OZK's data
$215
Bank OZK 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.