Applications / Mortgage Analytics / Lenders / Arizona / Fisher Financial Group
Gilbert, AZ · Non-bank or government lender · CFPB · 38 loans in 2025
Fisher Financial Group's data, $215Buy the data, $2,110Get Jenner, the SAS-compatible software
38
loans originated, 2025
56
applications, 2025
2
states and territories
0
gaps bigger than at similar lenders
Our analysis, 2025
Fisher Financial Group, a non-bank lender in Gilbert, Arizona, made 38 home loans in 2025, a small fraction of the 990 it made in 2020.
Its count rose from 20 in 2018 to 505 in 2019 and 990 in 2020, then fell to 170 in 2022 and 26 in 2024. The peak came when its typical rate was 3.00%, so it may have relied on refinancing that dried up as rates rose. In 2025 it grew 46%, while similar lenders, non-bank lenders making between half and twice as many loans, shrank 7% and made 40 loans in the typical case.
Purchases and refinancing each made up 50.0% of its loans. Most were conventional, 89.5%; the rest were guaranteed by the Department of Veterans Affairs. Its typical loan, $435,000, was a little larger than the $395,000 at similar lenders.
None of its loans was higher-priced (a rate well above the average for similar loans), against 5.0% at similar lenders. Its typical rate, 6.50%, was lower than their 6.81%.
It lends in 2 states and 9 metros. In its largest market, Phoenix-Mesa-Chandler, AZ, it ranked 302 of 879 lenders; United Wholesale Mortgage led. Its share rounds to zero in Phoenix, San Diego and Riverside alike.
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
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. Fisher Financial Group took 56 applications in 2025.
SOURCE: FFIEC HMDA, LOANS ORIGINATED (ACTION TAKEN: LOAN ORIGINATED)
FIG. 2 — PRODUCT MIX, 2025
Purchase 50.0% · Refinance 50.0%
Conventional 89.5% · VA 10.5% · of 38 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
| State | Loans | Share |
|---|---|---|
| Arizona | 29 | 76.3% |
| California | 9 | 23.7% |
Largest metro areas, 2025
| Metro area | Loans |
|---|---|
| Phoenix-Mesa-Chandler | 28 |
| San Diego-Chula Vista-Carlsbad | 2 |
| Lake Havasu City-Kingman | 1 |
| Los Angeles-Long Beach-Glendale | 1 |
| Oakland-Fremont-Berkeley | 1 |
| Riverside-San Bernardino-Ontario | 1 |
| San Francisco-San Mateo-Redwood City | 1 |
| San Jose-Sunnyvale-Santa Clara | 1 |
| San Luis Obispo-Paso Robles | 1 |
Identifiers
| LEI (Legal Entity Identifier, the global company code HMDA has used since 2018) | 549300REPZK0JXAZ6D94 | 2018–2025 |
| Respondent ID (the HMDA filer code before 2018) | 7860766296 |
Established 13 May 1994. Reported under HMDA 2016-2025.
Mergers, name changes, data editions and corrections: Fisher Financial Group's data.
Fisher Financial Group's data
$215
Fisher Financial Group 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.
Buy Fisher Financial Group's data, $215Jenner Mortgage Analytics: all the data
$2,110
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.
Buy the data, $2,110Jenner, the SAS-compatible software
See prices
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.
Get JennerQuestions, or the data and Jenner together: [email protected]