DRP MN 1 LLC

Cash-heavy investor in Minneapolis-St. Paul-Bloomington, MN-WI. 215 acquisitions, $1.4B tracked volume, $6.72M average price, latest observed Dec 2024.

Minneapolis-St. Paul-Bloomington, MN-WIflipperorganization
100% cash-taggedLender data limited$6.72M avgLatest Dec 2024

Investor profile snapshot

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DRP MN 1 LLC is a flipper real estate investor active in Minneapolis-St. Paul-Bloomington, MN-WI with 215 recorded acquisitions totaling approximately $1,444,905,699. Recorded purchases appear concentrated in a tighter local market footprint. The most recent recorded purchase was in December 2024, so the visible activity window still looks fairly recent from a deed-record standpoint.

Recorded purchases skew toward Duplex, Single Family Residential, and Townhouse. Average observed purchase price sits near $6,720,492, which reads as higher-priced acquisitions in this dataset. Behavioral signals point to a noticeable resale or short-hold component and cash-heavy execution within the recorded deed activity.

Observed window
February 2022 to December 2024

About 3 years of observed acquisition activity

Latest recorded purchase
December 2024

Still fairly recent, even if buying pace may be uneven

Market footprint
1 state / 1 metro

Activity appears concentrated in a narrower local market footprint

Strategy read
Cash-heavy

Derived from observed cash, financing, and flip-like transaction patterns

About this profile

SFR Analytics builds investor profiles from observed deed, mortgage, and assessor records. Use these metrics to compare acquisition patterns, market footprint, and financing signals across investors. Public-record coverage and entity resolution vary by county, so counts represent observed activity in our dataset rather than a complete legal ownership record.

Financing Signal

This profile shows cash-tagged activity without an observed lender in the recorded mortgage data. For lenders, that is not just a missing field; it can point to an active borrower prospect whose financing relationship is not visible in the public-record trail.

Cash-tagged purchases
100%
Observed lenders
0

Find cash-heavy borrower prospects in Minneapolis-St. Paul-Bloomington, MN-WI

No lender relationship is visible in this profile's recorded mortgage data. Cash-heavy investors like this can be borrower-prospecting signals for lenders in Minneapolis-St. Paul-Bloomington, MN-WI.

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Frequently asked questions

What type of real estate does DRP MN 1 LLC focus on?

Public records associated with DRP MN 1 LLC show activity in Duplex, Single Family Residential, Townhouse across Minneapolis-St. Paul-Bloomington, MN-WI.

How many properties are associated with DRP MN 1 LLC?

Public records show approximately 205 properties and 215 recorded transactions associated with DRP MN 1 LLC in this dataset.

Which lenders has DRP MN 1 LLC worked with?

Recorded mortgage data linking DRP MN 1 LLC to specific lenders is limited in this dataset. Cash purchases or out-of-record financing may explain gaps.

How recent is DRP MN 1 LLC's activity?

Records show activity from 2022 through 2024, with the most recent observed purchase recorded in December 2024.

Where is DRP MN 1 LLC active?

Recorded activity is concentrated in Minneapolis-St. Paul-Bloomington, MN-WI, with footprint across 1 state and 1 metro in this dataset.

How is associated activity determined?

SFR Analytics matches recorded deeds, mortgages, and assessor records across counties to assemble investor-level activity profiles. Matches use name normalization, address co-occurrence, and entity signals from public records. Profiles are directional - they reflect what is observable in deed-backed data and may not capture every off-record transaction or affiliated entity.

Data sources & methodology

SFR Analytics builds these profiles from recorded deeds, mortgages, assessor records, and entity matching. They are designed for market research: comparing acquisition activity, property focus, market footprint, and financing signals across investors. Coverage varies by county and record type, so counts reflect observed activity in our dataset.