Guild Mortgage Company, a home-purchase lender on record since the public data began in 1990, ranks first of 637 lenders in St. Louis and lends more than most similar lenders to lower-income borrowers and areas.
First in St. Louis, losing ground in Portland
It held 5.4% of lending in St. Louis, unchanged and first, ahead of United Wholesale Mortgage and Rocket Mortgage. It ranked fourth in Portland-Vancouver-Hillsboro, a market it entered in 1992, but its share fell to 4.3% from 5.0%; competition or a shift of effort to other markets could explain that. In Denver-Aurora-Centennial it ranked fourth, with 2.3% against 2.2%.
More lower-income borrowers and areas
32.0% of its loans went to LMI (low- and moderate-income) borrowers, against 29.5% at similar lenders (independent non-bank lenders making between half and twice as many loans), and 20.8% were in LMI areas, against 19.1%; both were higher than at more than eight in ten of them. Majority-minority areas took 21.9%, against 25.9%, which the mix of markets it serves could explain.
More rural and manufactured-home lending
1.5% of its loans were RHS loans (guaranteed by the Department of Agriculture's Rural Housing Service), against 0.5%, and 4.3% were for manufactured homes, against 2.2%, the highest share among similar lenders. Home purchases were 82.4% of its lending.
Fewer applications turned down
It denied 3.2% of decided first-lien home-purchase applications on owner-occupied homes, against 8.6% at similar lenders, and 8.2% of refinance applications, against 17.3%. Its higher-priced share (a rate well above the average for similar loans) fell to 2.6% from 4.1%.
Questions the data can answer next
In which Portland-Vancouver-Hillsboro counties did its share fall, and which lenders gained 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
86,111 loans in 2025, against a peak of 130,498 in 2020.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. Guild Mortgage Company took 120,556 applications in 2025.
82.4% of its 2025 loans were purchase loans; 65.9% were Conventional.
Purchase 82.4% · Refinance 17.3% · Not applicable 0.3% · Home improvement 0.0% Conventional 65.9% · FHA 24.3% · VA 8.4% · USDA (RHS or FSA) 1.5% · of 86,111 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
50 states, 389 metros, 2,135 counties
State
Loans
Share
Texas
6,877
8.0%
Washington
5,691
6.6%
Missouri
5,462
6.3%
Colorado
4,338
5.0%
Oregon
4,218
4.9%
California
4,118
4.8%
Utah
3,981
4.6%
Nevada
3,882
4.5%
Georgia
3,788
4.4%
Arizona
3,467
4.0%
Largest metro areas, 2025
Loans originated
Metro area
Loans
St. Louis
3,632
Portland-Vancouver-Hillsboro
2,377
Denver-Aurora-Centennial
1,947
Phoenix-Mesa-Chandler
1,864
Las Vegas-Henderson-North Las Vegas
1,808
Atlanta-Sandy Springs-Roswell
1,608
Houston-Pasadena-The Woodlands
1,381
Reno
1,357
Albuquerque
1,355
Columbia
1,346
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
549300AQ3T62GXDU7D76
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
1569885
2010–2023
Respondent ID (the HMDA filer code before 2018)
7471809999
1990–2017
Established 10 August 1960. Reported under HMDA 1990-2025.
Guild Mortgage Company 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.