PrimeLending, a non-bank lender owned by a bank, makes mostly home-purchase loans and ranks seventh in Dallas-Fort Worth, ninth in Kansas City and fourth in Greenville, South Carolina.
A purchase lender, near peers in mix
Home purchases made up 88.5% of its loans and refinancing 9.7%. Its similar lenders are non-banks making between an eighth and eight times as many loans; against them its conventional, FHA and VA shares are within a few points of typical, while RHS loans (guaranteed by the Department of Agriculture's Rural Housing Service) were 1.0% against 0.4%.
Volume flat while peers grew
It made 24,706 loans, down 2%, while similar lenders typically grew 14% and the whole market 10%; that is lower than about four in five of them. It has made between 24,706 and 25,964 loans a year since 2023. Purchases were nearly nine in ten of its loans, so its volume rests mostly on the purchase market, which may be one reason.
Top-ten in three metros, with some share slipping
It ranked seventh of 1,026 lenders in Dallas-Fort Worth and fourth of 589 in Greenville-Anderson-Greer, where its share fell to 3.4% from 4.0%. In Kansas City it ranked ninth, with 2.0%, down from 2.3%, while in Austin its share rose to 1.2% from 1.1%. The declines may simply follow its flat volume overall.
Lower prices and purchase denials than typical
2.2% of its loans were higher-priced (a rate well above the average for similar loans), against 3.7% for similar lenders, and it denied 4.0% of owner-occupied first-lien home-purchase applications, against 5.6%.
Questions the data can answer next
Which lenders gained the share it lost in Greenville and Kansas City?
Similar lenders: lenders of the same broad kind (banks and savings institutions, credit unions or non-banks), originations between an eighth and eight times the lender's.
Written from the 2025 HMDA data and checked figure by figure against it.
FIG. 1 — LOANS ORIGINATED, 2018–2025
24,706 loans in 2025, against a peak of 83,209 in 2020.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. PrimeLending took 33,320 applications in 2025.
88.5% of its 2025 loans were purchase loans; 70.1% were Conventional.
Purchase 88.5% · Refinance 9.7% · Other 1.4% · Home improvement 0.4% Conventional 70.1% · FHA 19.7% · VA 9.2% · USDA (RHS or FSA) 1.0% · of 24,706 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, 383 metros, 1,526 counties
State
Loans
Share
Texas
6,358
25.7%
South Carolina
1,561
6.3%
Missouri
1,496
6.1%
New York
1,278
5.2%
California
1,208
4.9%
Ohio
1,134
4.6%
Florida
931
3.8%
Pennsylvania
746
3.0%
Washington
716
2.9%
Arizona
610
2.5%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Dallas-Plano-Irving
1,568
Kansas City
1,173
Houston-Pasadena-The Woodlands
1,136
Greenville-Anderson-Greer
805
Fort Worth-Arlington-Grapevine
619
Rochester
615
San Antonio-New Braunfels
544
Austin-Round Rock-San Marcos
524
Phoenix-Mesa-Chandler
466
Laredo
410
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
549300121SF0K2LN2804
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
2888798
2004–2023
Respondent ID (the HMDA filer code before 2018)
22888798
2000–2017
Established 8 July 1986. Reported under HMDA 2000-2025.
PrimeLending 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.