Cathay Bank is a lender of large conventional loans in New York and Los Angeles whose originations rose 34% in 2025, faster than most similar lenders.
Faster growth than most peers
Originations rose 34% to 1,641, against 12% at similar lenders (state non-member banks making between half and twice as many loans) and 10% for the whole market, higher than more than four in five peers. That followed a fall to 1,228 in 2024 from 2,222 in 2023. It also bought 88 loans, where the typical peer bought 1.
Large loans, all conventional
Its typical loan, $605,000, was the largest among its peers, against $200,000, and jumbo loans (larger than the conforming limit) were 11.5% of its lending, against 2.5%. All its loans were conventional and none were higher-priced (a rate well above the average for similar loans); its typical rate, 6.38%, was lower than at about three-quarters of peers.
Most loans in majority-minority areas
Majority-minority areas took 67.2% of its loans, against 8.8% at peers, and LMI (low- and moderate-income) areas 23.0%, against 15.4%, both higher than nearly nine in ten similar lenders. LMI borrowers took 12.9%, among the lowest tenth of peers (27.8%); its large typical loan and the New York and Los Angeles markets it serves are possible reasons.
Its rank in New York and Los Angeles
It ranked 51 of 802 lenders in New York-Newark-Jersey City and 54 of 757 in Los Angeles-Long Beach-Anaheim, markets it has served since before 1990, where JPMorgan Chase Bank ranked first.
Questions the data can answer next
Which New York and Los Angeles counties and tracts account for its 2025 growth?
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
1,641 loans in 2025, against a peak of 2,222 in 2023.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. Cathay Bank took 2,232 applications in 2025.
72.3% of its 2025 loans were purchase loans; 100.0% were Conventional.
Purchase 72.3% · Refinance 25.2% · Other 2.2% · Home improvement 0.3% Conventional 100.0% · of 1,641 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
9 states, 45 metros, 78 counties
State
Loans
Share
New York
757
46.1%
California
616
37.5%
Washington
87
5.3%
New Jersey
50
3.0%
Nevada
32
2.0%
Massachusetts
31
1.9%
Illinois
29
1.8%
Texas
26
1.6%
Maryland
13
0.8%
Largest metro areas, 2025
Loans originated
Metro area
Loans
New York-Jersey City-White Plains
632
Los Angeles-Long Beach-Glendale
229
Anaheim-Santa Ana-Irvine
155
Nassau County-Suffolk County
139
Riverside-San Bernardino-Ontario
88
Seattle-Bellevue-Kent
73
Oakland-Fremont-Berkeley
35
San Francisco-San Mateo-Redwood City
31
Las Vegas-Henderson-North Las Vegas
30
San Jose-Sunnyvale-Santa Clara
29
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
FT6J43S06X6CLJ0R0B48
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
595869
2004–2023
Respondent ID (the HMDA filer code before 2018)
318503
1990–2010
Respondent ID (the HMDA filer code before 2018)
9595869
2011–2017
Established 19 April 1962. Reported under HMDA 1990-2025.
Mergers, name changes, data editions and corrections: Cathay Bank's data.
The data and the software behind these pages
Cathay Bank's data
$215
Cathay 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.