Applications / Mortgage Analytics / Lenders / Oklahoma / Finance of America Reverse
Tulsa, OK · Independent non-bank lender · CFPB · 8,696 loans in 2025
Finance of America Reverse's data, $215Buy the data, $2,110Get Jenner, the SAS-compatible software
8,696
loans originated, 2025
12,584
applications, 2025
51
states and territories
0
gaps bigger than at similar lenders
Our analysis, 2025
Finance of America Reverse, whose name points to reverse mortgages, made only 3.0% of its loans for home purchase, and it made 8,696 loans in 2025, about as many as in 2024.
Only 3.0% of its 2025 loans were purchases; 56.3% were refinances, 36.9% other purposes and 3.8% home improvement. FHA loans (insured by the Federal Housing Administration) were 69.9%, against 24.9% at similar lenders (independent non-bank lenders making between half and twice as many loans). That fits the reverse mortgages its name points to, so its prices and denials are not compared with those lenders.
Conventional loans rose from 15.2% of its lending five years ago to 19.9% in 2024 and 30.1% in 2025, while FHA loans fell from 84.8% to 69.9%. Its typical loan rose from $205,000 to $245,000 in a year, and jumbo loans (larger than the conforming limit) were 4.2%.
It made 8,696 loans in 2025, against 8,638 in 2024 and 8,741 in 2020; the high point was 10,943 in 2022. It bought 950 loans, up from 381.
Low- and moderate-income (LMI) borrowers took 95.2% of its loans, against 29.9% at similar lenders. That may reflect the kind of loan it makes, so it is not a like-for-like comparison with other lenders. California is its main state, and in San Diego its share rose from 0.4% to 0.5%.
Questions the data can answer next
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Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. Finance of America Reverse took 12,584 applications in 2025.
SOURCE: FFIEC HMDA, LOANS ORIGINATED (ACTION TAKEN: LOAN ORIGINATED)
FIG. 2 — PRODUCT MIX, 2025
Refinance 56.3% · Other 36.9% · Home improvement 3.8% · Purchase 3.0%
FHA 69.9% · Conventional 30.1% · of 8,696 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 |
|---|---|---|
| California | 2,527 | 29.1% |
| Florida | 786 | 9.0% |
| Texas | 524 | 6.0% |
| Arizona | 401 | 4.6% |
| New York | 368 | 4.2% |
| Washington | 337 | 3.9% |
| Colorado | 303 | 3.5% |
| New Jersey | 280 | 3.2% |
| North Carolina | 254 | 2.9% |
| Georgia | 195 | 2.2% |
Largest metro areas, 2025
| Metro area | Loans |
|---|---|
| Los Angeles-Long Beach-Glendale | 563 |
| Anaheim-Santa Ana-Irvine | 345 |
| Riverside-San Bernardino-Ontario | 315 |
| San Diego-Chula Vista-Carlsbad | 299 |
| Phoenix-Mesa-Chandler | 248 |
| New York-Jersey City-White Plains | 184 |
| Nassau County-Suffolk County | 159 |
| Oakland-Fremont-Berkeley | 155 |
| Denver-Aurora-Centennial | 149 |
| San Jose-Sunnyvale-Santa Clara | 136 |
Identifiers
| LEI (Legal Entity Identifier, the global company code HMDA has used since 2018) | 549300S5YL3OH0IVCS62 | 2018–2025 |
| RSSD (the Federal Reserve's identifier for banks and their parents) | 4182810 | 2010–2023 |
| Respondent ID (the HMDA filer code before 2018) | 7200304793 |
Established 26 November 2013. Reported under HMDA 2009-2025.
Mergers, name changes, data editions and corrections: Finance of America Reverse's data.
Finance of America Reverse's data
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Finance of America Reverse 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.
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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.
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