CrossCountry Mortgage is a large home-purchase lender that grew 23% in 2025, faster than most similar lenders, and ranked first of 784 lenders in Philadelphia-Camden-Wilmington.
Growing faster than its peers and the market
It made 125,099 loans, up 23%, against 18% for similar lenders (independent non-bank lenders making between a quarter and four times as many loans) and 10% for the whole market; that was faster than about seven in ten of them. Home purchases were 75.4% of its lending and refinances 17.7%.
First in Philadelphia, near the top in other large markets
It ranked first of 784 lenders in Philadelphia-Camden-Wilmington, ahead of Rocket Mortgage and United Wholesale Mortgage, fourth of 664 in Boston-Cambridge-Newton and fifth of 902 in Chicago-Naperville-Elgin. It ranked sixth in both New York-Newark-Jersey City and Seattle-Tacoma-Bellevue, markets it has served since 2009 or 2010.
Larger loans, fewer lower-income borrowers
Its typical loan was $325,000, against $295,000 at similar lenders, and 4.0% of its loans were jumbo (larger than the conforming limit), more than at nearly nine in ten of them. 26.3% of its loans went to LMI (low- and moderate-income) borrowers, against 29.6%, lower than about three in four similar lenders. Its larger loans and the markets it serves could account for a borrower mix that leans to higher incomes.
Fewer applications turned down
It denied 2.7% of decided first-lien home-purchase applications on owner-occupied homes, against 8.6% at similar lenders, the lowest among them; for refinances the figures were 6.2% and 15.9%. A lower rate can reflect who applies as much as how applications are judged.
Questions the data can answer next
Which counties make up its lead in Philadelphia-Camden-Wilmington, and how has its rank there moved since 2018?
Similar lenders: same lender type, originations between a quarter and four times the lender's.
Written from the 2025 HMDA data and checked figure by figure against it.
FIG. 1 — LOANS ORIGINATED, 2018–2025
125,099 loans in 2025, against a peak of 155,899 in 2021.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. CrossCountry Mortgage took 190,471 applications in 2025.
75.4% of its 2025 loans were purchase loans; 68.1% were Conventional.
Purchase 75.4% · Refinance 17.7% · Other 5.0% · Home improvement 1.8% Conventional 68.1% · FHA 22.1% · VA 9.2% · USDA (RHS or FSA) 0.6% · of 125,099 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
52 states, 415 metros, 2,440 counties
State
Loans
Share
Florida
11,987
9.6%
Ohio
11,011
8.8%
California
9,599
7.7%
Pennsylvania
8,399
6.7%
Texas
7,734
6.2%
New Jersey
7,558
6.0%
Illinois
5,600
4.5%
New York
5,429
4.3%
Arizona
4,945
4.0%
Washington
4,877
3.9%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Chicago-Naperville-Schaumburg
3,958
New York-Jersey City-White Plains
3,814
Cleveland
3,541
Minneapolis-St. Paul-Bloomington
2,578
Dallas-Plano-Irving
2,454
Phoenix-Mesa-Chandler
2,263
Lakewood-New Brunswick
2,101
Philadelphia
2,091
Montgomery County-Bucks County-Chester County
1,977
Newark
1,845
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
549300VZVN841I2ILS84
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
4183602
2010–2023
Respondent ID (the HMDA filer code before 2018)
7571175755
Established 30 September 2019. Reported under HMDA 2009-2025.
CrossCountry 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.