SWBC Mortgage is a Texas-based home-purchase lender spread across 35 states, whose originations fell 11% in 2025 while similar lenders grew 14%.
Smaller while peers grew
Originations fell 11% to 6,441 from 7,207, while similar lenders (independent non-bank lenders making between half and twice as many loans) grew 14% and the whole market 10%; only a few similar lenders had a lower change. It made 24,002 loans in 2020. With 85.2% of its loans for home purchase, its volume may follow home sales in its markets.
Purchase loans, with more VA and jumbo than peers
Home purchases were 85.2% of its lending. VA loans (guaranteed by the Department of Veterans Affairs) were 9.7%, against 7.6% at similar lenders, and FHA loans (insured by the Federal Housing Administration) 18.1%, against 25.0%. 3.2% of its loans were jumbo (larger than the conforming limit), against 1.2%, higher than about four in five similar lenders.
More loans to LMI borrowers, and lower denial rates
34.2% of its loans went to LMI (low- and moderate-income) borrowers, against 28.4%, more than about seven in ten similar lenders. It turned down 3.2% of first-lien home-purchase applications on owner-occupied homes and 5.3% of refinance applications, against 4.5% and 8.5% at similar lenders.
Small shares in many markets
Its highest rank among its largest markets was 26 of 821 lenders in Nashville-Davidson--Murfreesboro--Franklin, with a share of 0.9%, against 1.0% a year earlier. In Minneapolis-St. Paul-Bloomington it ranked 50 of 688 and its share rose to 0.5% from 0.4%. It entered Williamsport, PA in 2025 and ranked 37 of 153.
Questions the data can answer next
Which of its markets account for the fall in originations in 2025?
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
6,441 loans in 2025, against a peak of 24,002 in 2020.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. SWBC Mortgage took 8,506 applications in 2025.
85.2% of its 2025 loans were purchase loans; 71.2% were Conventional.
Purchase 85.2% · Refinance 14.4% · Home improvement 0.4% Conventional 71.2% · FHA 18.1% · VA 9.7% · USDA (RHS or FSA) 1.0% · of 6,441 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
35 states, 175 metros, 614 counties
State
Loans
Share
Texas
1,607
24.9%
Georgia
638
9.9%
Tennessee
631
9.8%
Colorado
511
7.9%
Minnesota
476
7.4%
Virginia
456
7.1%
Maryland
424
6.6%
Arkansas
355
5.5%
Florida
329
5.1%
Pennsylvania
299
4.6%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Nashville-Davidson--Murfreesboro--Franklin
510
Minneapolis-St. Paul-Bloomington
427
Denver-Aurora-Centennial
344
Marietta
280
Waco
266
Dallas-Plano-Irving
244
Baltimore-Columbia-Towson
230
San Antonio-New Braunfels
220
Killeen-Temple
197
Houston-Pasadena-The Woodlands
192
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
549300DMYENRV818D594
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
4323912
2011–2023
Respondent ID (the HMDA filer code before 2018)
7742508160
Respondent ID (the HMDA filer code before 2018)
77281700007
2003–2003
Established 14 June 1988. Reported under HMDA 2003-2025.
SWBC Mortgage 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.