THREE DOORS PROPERTIES LLC

Flipper active in St. Louis, MO-IL. 17 acquisitions, $1.54M tracked volume, $90,765 average price, latest observed Mar 2026.

St. Louis, MO-ILflipperorganization
18% cash2 observed lenders$90,765 avgLatest Mar 2026

Investor profile snapshot

THREE DOORS PROPERTIES LLC is a flipper real estate investor active in St. Louis, MO-IL with 17 recorded acquisitions totaling approximately $1,543,000. Recorded purchases span 2 metros inside the same state footprint, which suggests a broader local-to-regional buy box. The most recent recorded purchase was in March 2026, so the visible activity window still looks fairly recent from a deed-record standpoint.

Recorded purchases skew toward Single Family Residential and Vacant Land. Average observed purchase price sits near $90,765, which reads as entry-level to lower-middle price points. Behavioral signals point to flip-oriented behavior and frequent private-lender financing within the recorded deed activity.

Observed window
February 2022 to March 2026

About 4 years of observed acquisition activity

Latest recorded purchase
March 2026

Recent enough to suggest the profile is still active

Market footprint
1 state / 2 metros

Activity appears concentrated in a narrower local market footprint

Strategy read
Flip-oriented

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.

Transaction Summary

17
Transactions
17
Properties
$1.54M
Total Volume
$90,765
Average Price

Property Types

Single Family ResidentialObserved
Vacant LandObserved
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Financing Signal

Recorded mortgage data links this profile to 2 observed lenders. The public page shows a sample; Private Lender Radar is where lender teams can review the full lender history, borrower activity, lender share, and contact workflow.

Sample observed lenders

Showing 2 of 2 observed lender relationships.

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KiaviThree Doors Funding LLC

Who else does Kiavi fund?

This investor uses 2 observed lenders. See borrower activity, lender market share, and verified contacts in St. Louis, MO-IL.

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Frequently asked questions

What type of real estate does THREE DOORS PROPERTIES LLC focus on?

Public records associated with THREE DOORS PROPERTIES LLC show activity in Single Family Residential, Vacant Land across St. Louis, MO-IL.

How many properties are associated with THREE DOORS PROPERTIES LLC?

Public records show approximately 17 properties and 17 recorded transactions associated with THREE DOORS PROPERTIES LLC in this dataset.

Which lenders has THREE DOORS PROPERTIES LLC worked with?

Recent recorded mortgage activity references Kiavi, Three Doors Funding LLC. Full lender history is available in SFR Analytics.

How recent is THREE DOORS PROPERTIES LLC's activity?

Records show activity from 2022 through 2026, with the most recent observed purchase recorded in March 2026.

Where is THREE DOORS PROPERTIES LLC active?

Recorded activity is concentrated in St. Louis, MO-IL, with footprint across 1 state and 2 metros 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.