Rocket Mortgage is a refinance-led lender, with refinances 63.8% of its loans, that made 429,332 loans in 2025 and ranked 1 of 757 lenders in Washington-Arlington-Alexandria.
Faster growth than similar lenders
Similar lenders are independent non-bank lenders making between an eighth and eight times as many loans; it made more than any of them. Its originations rose 19% against 15% at similar lenders and 10% for the whole market. It made 1,142,638 loans five years before; with refinances still most of its lending, the fall could reflect rates, as its typical rate then was 2.99% against 6.75% now.
Among the top three in large markets
It ranked 1 of 757 lenders in Washington-Arlington-Alexandria, 2 of 892 in Atlanta-Sandy Springs-Alpharetta behind United Wholesale Mortgage, and 3 of 757 in Los Angeles-Long Beach-Anaheim. In Phoenix-Mesa-Chandler it ranked 2 of 879, with 5.7% of lending against 5.5% a year earlier.
Smaller loans and more LMI borrowers
Its typical loan was $215,000 against $305,000, lower than at every similar lender. 32.8% of its loans went to LMI (low- and moderate-income) borrowers against 29.6%, higher than more than four in five similar lenders.
Mostly conventional lending
Conventional loans were 76.9% of its lending, the highest among similar lenders. FHA (insured by the Federal Housing Administration) loans were 15.2% against 22.1%, and VA (guaranteed by the Department of Veterans Affairs) loans 7.9% against 10.3%.
Questions the data can answer next
How do its refinance volumes and rates compare with United Wholesale Mortgage's in Phoenix-Mesa-Chandler and Atlanta-Sandy Springs-Alpharetta, year by year?
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
429,332 loans in 2025, against a peak of 1,237,033 in 2021.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. Rocket Mortgage took 601,267 applications in 2025.
63.8% of its 2025 loans were refinance loans; 76.9% were Conventional.
Refinance 63.8% · Purchase 31.8% · Other 3.0% · Home improvement 1.4% Conventional 76.9% · FHA 15.2% · VA 7.9% · of 429,332 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, 410 metros, 3,070 counties
State
Loans
Share
California
42,202
9.8%
Florida
31,530
7.3%
Texas
30,579
7.1%
Michigan
22,693
5.3%
Georgia
21,182
4.9%
North Carolina
18,462
4.3%
Ohio
16,656
3.9%
Pennsylvania
16,043
3.7%
Virginia
14,489
3.4%
New York
13,729
3.2%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Phoenix-Mesa-Chandler
9,507
Atlanta-Sandy Springs-Roswell
9,317
Houston-Pasadena-The Woodlands
8,080
Warren-Troy-Farmington Hills
7,794
Los Angeles-Long Beach-Glendale
7,659
Riverside-San Bernardino-Ontario
6,646
Chicago-Naperville-Schaumburg
6,446
Charlotte-Concord-Gastonia
6,157
Dallas-Plano-Irving
5,949
Arlington-Alexandria-Reston
4,811
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
549300FGXN1K3HLB1R50
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
3870679
2010–2023
Respondent ID (the HMDA filer code before 2018)
77197000003
1992–2017
Established 21 June 1985. Reported under HMDA 1992-2025.
Rocket 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.