Applications / Mortgage Analytics / Lenders / Wisconsin / Thompson Kane & Company
Madison, WI · Independent non-bank lender · CFPB · 1,065 loans in 2025
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1,065
loans originated, 2025
1,248
applications, 2025
15
states and territories
0
gaps bigger than at similar lenders
Our analysis, 2025
Thompson Kane & Company is a Madison mortgage company that lends almost entirely to home buyers, and to more lower-income borrowers than most similar lenders.
Home purchases made up 86.9% of its loans and refinances 13.0%. Most of its lending is conventional, 78.9%, against 67.6% at similar lenders (independent non-bank lenders making between half and twice as many loans). It makes fewer loans insured by the Federal Housing Administration (FHA) than its peers, 14.3% against 21.9%, but more rural loans guaranteed by the Department of Agriculture's Rural Housing Service (RHS): 3.8% against 0.3%.
Of its loans, 39.2% went to low- and moderate-income (LMI) borrowers, up from 29.1% last year and higher than at more than four in five similar lenders, where the share was 27.1%. Far fewer went to majority-minority neighborhoods, 2.9% against 27.1%; its lending centers on Wisconsin, and the places it serves may account for much of that.
It ranked 4 of 380 lenders in Madison, behind Summit Credit Union and UW Credit Union, but its share fell from 4.4% to 3.5%. In Janesville-Beloit it slipped from 2.6% to 1.8%. Its loans were flat, 1,065 against 1,075, while the whole market grew 10%, so standing still may by itself have cost it share.
It has made between 1,065 and 1,127 loans a year since 2022, after 1,709 in 2020. It denied 1.4% of home-purchase applications, lower than at most similar lenders, where the rate was 3.2%.
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Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. Thompson Kane & Company took 1,248 applications in 2025.
SOURCE: FFIEC HMDA, LOANS ORIGINATED (ACTION TAKEN: LOAN ORIGINATED)
FIG. 2 — PRODUCT MIX, 2025
Purchase 86.9% · Refinance 13.0% · Home improvement 0.2%
Conventional 78.9% · FHA 14.3% · USDA (RHS or FSA) 3.8% · VA 3.0% · of 1,065 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 | 806 | 75.7% |
| Missouri | 197 | 18.5% |
| Illinois | 32 | 3.0% |
| Florida | 6 | 0.6% |
| Colorado | 4 | 0.4% |
| Michigan | 3 | 0.3% |
| Tennessee | 3 | 0.3% |
| Texas | 3 | 0.3% |
| Kansas | 2 | 0.2% |
| Minnesota | 2 | 0.2% |
Largest metro areas, 2025
| Metro area | Loans |
|---|---|
| Madison | 558 |
| Janesville-Beloit | 74 |
| Milwaukee-Waukesha | 34 |
| St. Louis | 28 |
| Kansas City | 9 |
| Sheboygan | 7 |
| Chicago-Naperville-Schaumburg | 5 |
| Green Bay | 5 |
| La Crosse-Onalaska | 5 |
| Racine-Mount Pleasant | 5 |
Identifiers
| LEI (Legal Entity Identifier, the global company code HMDA has used since 2018) | 549300HN58ONH5KNJJ12 | 2018–2025 |
| RSSD (the Federal Reserve's identifier for banks and their parents) | 4878234 | 2016–2023 |
| Respondent ID (the HMDA filer code before 2018) | 7454156623 |
Established 3 January 2012. Reported under HMDA 2014-2025.
Mergers, name changes, data editions and corrections: Thompson Kane & Company's data.
Thompson Kane & Company's data
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Thompson Kane & Company 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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