Applications / Mortgage Analytics / Lenders / Ohio / myCUmortgage
Beavercreek, OH · Non-bank lender · CFPB · 253 loans in 2025
myCUmortgage's data, $215Buy the data, $2,110Get Jenner, the SAS-compatible software
253
loans originated, 2025
483
applications, 2025
19
states and territories
0
gaps bigger than at similar lenders
Our analysis, 2025
myCUmortgage, an Ohio non-bank lender, buys about four loans from other lenders for every one it makes, and most of the loans it makes carry Federal Housing Administration (FHA) insurance.
In 2025 it bought 1,045 loans and made 253 of its own. The typical similar lender (non-bank lenders making between half and twice as many loans) bought none. Its own loans are the smaller part of its business, and the figures here describe only those.
FHA loans made up 75.5% of its own lending, up from 53.2% in 2024, against 14.4% at similar lenders. No similar lender had a higher share. Purchases were 88.1% of its loans.
Its typical loan was $185,000, smaller than at all but a few similar lenders, where it was $345,000. Some 41.7% of its borrowers had low or moderate incomes (LMI), about twice the 20.0% at peers and the highest share among them. Small FHA purchase loans fit that kind of borrower.
Its own loans fell 32% in 2025, while similar lenders grew 18% and the whole market 10%. It made 1,818 loans in 2019. In Canton-Massillon, one of its oldest markets, its share slipped to 0.2% from 0.3%; with fewer loans everywhere, a smaller share there may simply follow. Its purchases of other lenders' loans held nearly steady, at 1,045 against 1,075 in 2024, so it may be leaning on buying loans rather than making them.
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Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. myCUmortgage took 483 applications in 2025.
SOURCE: FFIEC HMDA, LOANS ORIGINATED (ACTION TAKEN: LOAN ORIGINATED)
FIG. 2 — PRODUCT MIX, 2025
Purchase 88.1% · Refinance 11.9%
FHA 75.5% · Conventional 24.5% · of 253 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 |
|---|---|---|
| Ohio | 119 | 47.0% |
| Kentucky | 25 | 9.9% |
| Indiana | 24 | 9.5% |
| California | 14 | 5.5% |
| Michigan | 14 | 5.5% |
| Virginia | 13 | 5.1% |
| Florida | 8 | 3.2% |
| Louisiana | 7 | 2.8% |
| West Virginia | 6 | 2.4% |
| Illinois | 5 | 2.0% |
Largest metro areas, 2025
| Metro area | Loans |
|---|---|
| Canton-Massillon | 18 |
| Cincinnati | 18 |
| Cleveland | 15 |
| Huntington-Ashland | 9 |
| Lima | 9 |
| Youngstown-Warren | 9 |
| Columbus | 7 |
| Flint | 7 |
| Dayton-Kettering-Beavercreek | 5 |
| Modesto | 5 |
Identifiers
| LEI (Legal Entity Identifier, the global company code HMDA has used since 2018) | 5493006HFDG31YJ3MM36 | 2018–2025 |
| RSSD (the Federal Reserve's identifier for banks and their parents) | 3844111 | 2010–2023 |
| Respondent ID (the HMDA filer code before 2018) | 5311690008 |
Established 24 November 1999. Reported under HMDA 2000-2025.
Mergers, name changes, data editions and corrections: myCUmortgage's data.
myCUmortgage's data
$215
myCUmortgage 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 myCUmortgage'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]