Fast growth
Its loans rose to 775 from 578. Similar lenders, meaning independent non-banks making between half and twice as many loans, grew 2%; the whole market grew 10%. Even so, it remains well below the 2,174 loans it made in 2020.
Applications / Mortgage Analytics / Lenders / Wisconsin / A + Mortgage Services
Muskego, WI · Independent non-bank lender · CFPB · 775 loans in 2025
A + Mortgage Services's data, $215Buy the data, $2,110Get Jenner, the SAS-compatible software
775
loans originated, 2025
852
applications, 2025
2
states and territories
0
gaps bigger than at similar lenders
Our analysis, 2025
A + Mortgage Services, a Wisconsin independent non-bank, grew 34% in 2025, faster than about nine in ten similar lenders, and ranks 16 of 510 lenders around Milwaukee.
Its loans rose to 775 from 578. Similar lenders, meaning independent non-banks making between half and twice as many loans, grew 2%; the whole market grew 10%. Even so, it remains well below the 2,174 loans it made in 2020.
It holds 1.9% of the Milwaukee-Waukesha market, unchanged on the year, in a market led by Landmark Credit Union and Summit Credit Union. In Racine its share rose 0.3 points to 1.2%, ranking 25 of 285. It lends in 2 states and 15 metros, with Wisconsin its main state, and has reported since 2018.
Conventional loans made up 92.3% of its lending, against 67.5% at its peers, and FHA loans (insured by the Federal Housing Administration) only 4.1%, against 21.6%. Its shares of loans in low- and moderate-income neighborhoods (8.3%) and majority-minority neighborhoods (4.7%) were lower than at more than nine in ten similar lenders. Its Wisconsin markets and its light FHA lending are possible reasons.
It turned down 0.9% of home-purchase applications, against 3.2% at similar lenders, a lower rate than at more than four in five of them. For refinances the rate was 2.0%, against 7.6%.
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Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. A + Mortgage Services took 852 applications in 2025.
SOURCE: FFIEC HMDA, LOANS ORIGINATED (ACTION TAKEN: LOAN ORIGINATED)
FIG. 2 — PRODUCT MIX, 2025
Purchase 77.5% · Refinance 19.5% · Home improvement 1.7% · Not applicable 1.3%
Conventional 92.3% · FHA 4.1% · VA 3.6% · of 775 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 |
|---|---|---|
| Wisconsin | 716 | 92.4% |
| Florida | 4 | 0.5% |
Largest metro areas, 2025
| Metro area | Loans |
|---|---|
| Milwaukee-Waukesha | 572 |
| Racine-Mount Pleasant | 38 |
| Madison | 20 |
| Kenosha | 12 |
| Green Bay | 5 |
| Sheboygan | 5 |
| Fond du Lac | 4 |
| Appleton | 3 |
| Oshkosh-Neenah | 3 |
| Janesville-Beloit | 2 |
Identifiers
| LEI (Legal Entity Identifier, the global company code HMDA has used since 2018) | 5493009X5Z27VV479310 | 2018–2025 |
Established 24 January 2001. Reported under HMDA 2018-2025.
Mergers, name changes, data editions and corrections: A + Mortgage Services's data.
A + Mortgage Services's data
$215
A + Mortgage Services 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 A + Mortgage Services'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]