Bank of America's dollar lending rose much faster than its loan count in 2025 as its typical loan grew, and it bought more than twice as many loans from other lenders as a year earlier.
Dollars rose faster than loans
Originations rose 6% to 88,530, against 12% for similar lenders (national banks making between an eighth and eight times as many loans) and 10% for the whole market, lower than about two-thirds of them. Dollar lending rose to $37.29 billion from $29.97 billion as its typical loan grew to $205,000 from $175,000. It still makes less than half the loans it made in 2019.
Buying loans again
It bought 22,665 loans from other lenders, up from 9,237 a year earlier and more than about three-quarters of similar lenders, whose typical figure was 7,008. Buying could add to its mortgage holdings while its own loan count rises slowly.
Almost entirely conventional
Conventional loans were 99.5% of its lending, with FHA (insured by the Federal Housing Administration) at 0.4% and VA (guaranteed by the Department of Veterans Affairs) at 0.1%. It turned down 13.8% of first-lien home-purchase applications on owner-occupied homes, against 10.9% for similar lenders, higher than about four in five of them, but 14.2% of refinance applications, against 22.1%, lower than about nine in ten. With few government loans on offer, purchase applicants who might qualify for FHA or VA loans elsewhere could be turned down more often.
Gaining in San Jose
Its share of the San Jose market rose to 10.2% from 8.6%, ranking 2 of 459 lenders. It ranks 3 of 606 in San Francisco.
Questions the data can answer next
Which loan types and counties account for the rise in its purchased loans?
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
88,530 loans in 2025, against a peak of 214,601 in 2019.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. Bank of America took 217,492 applications in 2025.
30.3% of its 2025 loans were purchase loans; 99.5% were Conventional.
Purchase 30.3% · Home improvement 29.6% · Refinance 22.7% · Other 17.5% Conventional 99.5% · FHA 0.4% · VA 0.1% · of 88,530 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, 407 metros, 1,810 counties
State
Loans
Share
California
17,758
20.1%
Florida
7,938
9.0%
Texas
6,141
6.9%
New Jersey
5,136
5.8%
North Carolina
4,880
5.5%
New York
3,897
4.4%
Massachusetts
3,551
4.0%
Georgia
3,440
3.9%
Washington
3,420
3.9%
Illinois
2,889
3.3%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Los Angeles-Long Beach-Glendale
3,603
Charlotte-Concord-Gastonia
2,713
New York-Jersey City-White Plains
2,635
San Jose-Sunnyvale-Santa Clara
2,404
Oakland-Fremont-Berkeley
2,296
Chicago-Naperville-Schaumburg
2,266
Phoenix-Mesa-Chandler
2,072
Dallas-Plano-Irving
2,018
Atlanta-Sandy Springs-Roswell
1,996
Anaheim-Santa Ana-Irvine
1,917
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
B4TYDEB6GKMZO031MB27
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
480228
2004–2023
Respondent ID (the HMDA filer code before 2018)
113044
1990–2010
Respondent ID (the HMDA filer code before 2018)
9480228
2011–2017
Established 17 October 1904. Reported under HMDA 1990-2025.
Bank of America 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.