Bank of Colorado grew faster than most similar lenders in 2025 and ranks among the top five lenders in Fort Collins-Loveland, with larger loans and more jumbo lending than its peer group.
Growth ahead of peers and market
Originations rose 17% to 1,529, against 11% for similar lenders (state non-member banks making between half and twice as many loans) and 10% for the whole market, faster than about two-thirds of the group. That is still about half the 2,941 loans of 2020, its peak year.
A top-five lender at home
It ranks 5 of 408 in Fort Collins-Loveland with 3.0%, up from 2.8%, and 11 of 399 in Greeley, both markets it has served since before 1990. Grand Junction is the exception: its share fell from 2.7% to 2.3%, in a market led by Ark-La-Tex Financial Services, which may reflect mortgage companies there growing faster rather than less lending of its own.
Larger loans than its peers
Its typical loan of $295,000 was higher than about four in five similar lenders', against $185,000, and 9.8% of loans were jumbo (larger than the conforming limit), against 2.4%. It also made more FHA loans (insured by the Federal Housing Administration) than most peers, 5.5% against 2.5%.
LMI lending a little below the group
22.9% of its loans went to LMI (low- and moderate-income) borrowers, against 27.6% for similar lenders, and 13.7% were in LMI tracts, against 15.3%. Higher home prices in its markets, which its larger loans point to, may mean buyers there need higher incomes; its LMI borrower share is close to the 23.3% of five years ago.
Questions the data can answer next
Which competitors gained the Grand Junction share it lost, and in which counties?
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
1,529 loans in 2025, against a peak of 2,941 in 2020.
Originated means the loan was made: applications denied, withdrawn or not accepted are not counted. Bank of Colorado took 2,171 applications in 2025.
56.6% of its 2025 loans were purchase loans; 93.0% were Conventional.
Purchase 56.6% · Refinance 20.3% · Home improvement 15.3% · Other 7.8% Conventional 93.0% · FHA 5.5% · VA 1.2% · USDA (RHS or FSA) 0.3% · of 1,529 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
24 states, 36 metros, 109 counties
State
Loans
Share
Colorado
1,334
87.2%
Arizona
98
6.4%
New Mexico
34
2.2%
Nebraska
15
1.0%
Wyoming
9
0.6%
Texas
8
0.5%
Kansas
5
0.3%
Missouri
3
0.2%
California
2
0.1%
Florida
2
0.1%
Largest metro areas, 2025
Loans originated
Metro area
Loans
Fort Collins-Loveland
215
Denver-Aurora-Centennial
180
Greeley
180
Grand Junction
80
Prescott Valley-Prescott
61
Boulder
34
Phoenix-Mesa-Chandler
26
Colorado Springs
22
Flagstaff
8
Cheyenne
4
Identifiers
LEI (Legal Entity Identifier, the global company code HMDA has used since 2018)
549300R0DP2GXAIMGB41
2018–2025
RSSD (the Federal Reserve's identifier for banks and their parents)
255659
2004–2023
Respondent ID (the HMDA filer code before 2018)
316980
1990–2017
Respondent ID (the HMDA filer code before 2018)
2255659
1993–2003
Established 24 January 1910. Reported under HMDA 1990-2025.
Bank of Colorado 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.
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.
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.