MQ PROPERTIES LLC

Cash-heavy investor in Macon-Bibb County, GA. 32 acquisitions, $1.63M tracked volume, $50,893 average price, latest observed Dec 2024.

Macon-Bibb County, GAbuy-and-holdorganization
100% cashNo observed lender$50,893 avgLatest Dec 2024

Investor profile snapshot

MQ PROPERTIES LLC is a buy-and-hold real estate investor active in Macon-Bibb County, GA with 32 recorded acquisitions totaling approximately $1,628,574. 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 Single Family Residential. Average observed purchase price sits near $50,893, which reads as entry-level to lower-middle price points. Behavioral signals point to cash-heavy execution within the recorded deed activity.

Observed window
May 2023 to December 2024

Roughly 19 months of recorded buying 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.

Transaction Summary

32
Transactions
32
Properties
$1.63M
Total Volume
$50,893
Average Price

Property Types

Single Family ResidentialObserved type
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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 Macon-Bibb County, GA

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 Macon-Bibb County, GA.

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Frequently asked questions

What type of real estate does MQ PROPERTIES LLC focus on?

Public records associated with MQ PROPERTIES LLC show activity in Single Family Residential across Macon-Bibb County, GA.

How many properties are associated with MQ PROPERTIES LLC?

Public records show approximately 32 properties and 32 recorded transactions associated with MQ PROPERTIES LLC in this dataset.

Which lenders has MQ PROPERTIES LLC worked with?

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

How recent is MQ PROPERTIES LLC's activity?

Records show activity from 2023 through 2024, with the most recent observed purchase recorded in December 2024.

Where is MQ PROPERTIES LLC active?

Recorded activity is concentrated in Macon-Bibb County, GA, 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.