Lower is a nationwide independent lender, active in 47 states, whose loan mix now closely resembles similar lenders' after its FHA share more than doubled in five years.
FHA share more than doubled in five years
FHA loans (insured by the Federal Housing Administration) were 26.4% of its 2025 originations, against 11.9% five years before; conventional loans fell to 62.9% from 81.1%. Both now sit at the typical level for similar lenders (independent non-bank lenders making between half and twice as many loans): 26.4% and 61.7%. Home purchases were 74.6% of its loans, refinancing 25.4%.
Volume rebuilt after a sharp swing
It made 17,905 loans, up 3%, slower than about three in four similar lenders, whose typical growth was 14%, and the whole market's 10%. Its record swings widely: 29,591 loans in 2021, 8,747 in 2023, then 17,412 in 2024. A smaller rise after that doubling may simply reflect the larger base.
Every loan its own
It reported no purchased loans, while similar lenders typically bought 179; its volume comes entirely from loans it originates. Its denial rate on owner-occupied home-purchase applications was 6.8%, lower than about two-thirds of similar lenders, whose typical rate was 8.0%.
Gaining in Columbus
Columbus, Ohio is where it ranks highest among its largest markets: 12th of 596 lenders, with 1.8% of the market, up from 1.6%, behind The Huntington National Bank and NFM among others. In Denver it ranked 29th, with 0.8%, down slightly from 0.9%, a small change that may reflect year-to-year swings in its volume.
Questions the data can answer next
Which counties drove its gain in Columbus, and which lenders lost share 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
17,905 loans in 2025, against a peak of 29,591 in 2021.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. Lower took 29,643 applications in 2025.
74.6% of its 2025 loans were purchase loans; 62.9% were Conventional.
Purchase 74.6% · Refinance 25.4% · Other 0.0% · Home improvement 0.0% Conventional 62.9% · FHA 26.4% · VA 10.0% · USDA (RHS or FSA) 0.7% · of 17,905 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
47 states, 367 metros, 1,493 counties
State
Loans
Share
Texas
1,752
9.8%
Florida
1,721
9.6%
Ohio
1,641
9.2%
South Carolina
1,492
8.3%
Illinois
1,191
6.7%
Colorado
1,189
6.6%
North Carolina
1,047
5.8%
Georgia
846
4.7%
Virginia
635
3.5%
Maryland
581
3.2%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Columbus
956
Dallas-Plano-Irving
693
Denver-Aurora-Centennial
628
Chicago-Naperville-Schaumburg
586
Atlanta-Sandy Springs-Roswell
452
Greenville-Anderson-Greer
333
Charleston-North Charleston
325
Davenport-Moline-Rock Island
305
Minneapolis-St. Paul-Bloomington
287
Myrtle Beach-Conway-North Myrtle Beach
287
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
549300RN01LBYR8ZVX74
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
5027262
2016–2023
Respondent ID (the HMDA filer code before 2018)
7463689142
Established 13 September 2013. Reported under HMDA 2015-2025.
Mergers, name changes, data editions and corrections: Lower's data.
The data and the software behind these pages
Lower's data
$215
Lower 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.