U.S. Bank made 74,635 loans in 2025, level with 2024 while the whole market grew 10%, and well under half the 188,219 it made in 2021.
Level volume, larger loans
Growth was 0% while similar lenders (national banks making between an eighth and eight times as many loans) grew 10%, lower than about three in four of them. Lending by value still rose from $30.03 billion to $33.01 billion, with a typical loan of $235,000 and jumbo loans (larger than the conforming limit) at 14.8%.
Buying far fewer loans than in 2020
It bought 45,819 loans, more than nine in ten similar lenders, though fewer than 48,686 in 2024 and far below 202,977 in 2020. That fall parallels its own originations, down from 180,649 in 2020; a choice to buy less from other lenders could also play a part.
Losing ground in San Jose
It ranks fourth in Los Angeles and San Jose. In San Jose its share fell from 7.2% to 5.8%, behind Wells Fargo Bank, Bank of America and Citibank, which may reflect those lenders' growth or a shift in its own focus.
Fewer denials than most peers
For first-lien home-purchase applications on owner-occupied homes it turned down 9.4%, against 11.1% for similar lenders, lower than about three in four; for refinance applications, 14.5% against 22.1%, lower than about four in five. Its LMI (low- and moderate-income) borrower share rose from 20.2% to 22.7%, still lower than about three in four similar lenders; its larger loans may explain part of that.
Questions the data can answer next
Who gained the share it lost in San Jose?
Similar lenders: same lender type, 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
74,635 loans in 2025, against a peak of 188,219 in 2021.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. U.S. Bank took 151,832 applications in 2025.
41.8% of its 2025 loans were purchase loans; 95.7% were Conventional.
Purchase 41.8% · Refinance 26.0% · Home improvement 16.8% · Other 15.3% Conventional 95.7% · FHA 2.6% · VA 1.5% · USDA (RHS or FSA) 0.1% · of 74,635 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, 406 metros, 2,204 counties
State
Loans
Share
California
16,135
21.6%
Illinois
4,571
6.1%
Minnesota
4,538
6.1%
Ohio
3,965
5.3%
Missouri
3,622
4.9%
Washington
3,524
4.7%
Wisconsin
2,785
3.7%
Kentucky
2,645
3.5%
Oregon
2,465
3.3%
Florida
2,279
3.1%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Minneapolis-St. Paul-Bloomington
3,309
Los Angeles-Long Beach-Glendale
2,874
Chicago-Naperville-Schaumburg
2,575
Anaheim-Santa Ana-Irvine
2,188
St. Louis
1,990
San Diego-Chula Vista-Carlsbad
1,867
Cincinnati
1,737
Oakland-Fremont-Berkeley
1,731
Riverside-San Bernardino-Ontario
1,587
Portland-Vancouver-Hillsboro
1,478
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
6BYL5QZYBDK8S7L73M02
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
504713
2004–2023
Respondent ID (the HMDA filer code before 2018)
124
1990–2010
Respondent ID (the HMDA filer code before 2018)
9504713
2011–2017
Established 13 July 1863. Reported under HMDA 1990-2025.
Mergers, name changes, data editions and corrections: U.S. Bank's data.
The data and the software behind these pages
U.S. Bank's data
$215
U.S. Bank 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.