AMAC PROPERTIES LLC

Buy and hold active in Columbus, GA-AL. 7 acquisitions, $1.55M tracked volume, $222,000 average price, latest observed Feb 2024.

Columbus, GA-ALbuy-and-holdorganization
14% cash3 observed lenders$222,000 avgLatest Feb 2024

Investor profile snapshot

AMAC PROPERTIES LLC is a buy-and-hold real estate investor active in Columbus, GA-AL with 7 recorded acquisitions totaling approximately $1,554,000. Recorded purchases appear concentrated in a tighter local market footprint. The most recent recorded purchase was in February 2024, so the visible activity window still looks more historical from a deed-record standpoint.

Recorded purchases skew toward Single Family Residential. Average observed purchase price sits near $222,000, which reads as mid-market acquisition pricing. Behavioral signals point to frequent private-lender financing within the recorded deed activity.

Observed window
October 2022 to February 2024

Roughly 16 months of recorded buying activity

Latest recorded purchase
February 2024

Older recency, so current acquisition pace may be slower than lifetime totals imply

Market footprint
1 state / 1 metro

Activity appears concentrated in a narrower local market footprint

Strategy read
Private-lender active

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

7
Transactions
7
Properties
$1.55M
Total Volume
$222,000
Average Price

Property Types

Single Family ResidentialObserved type
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Financing Signal

Recorded mortgage data links this profile to 3 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 3 of 3 observed lender relationships.

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Assets & Equity LLCRCN CapitalROC Capital

Who else does Assets & Equity LLC fund?

This investor uses 3 observed lenders. See borrower activity, lender market share, and verified contacts in Columbus, GA-AL.

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Lenders

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Wholesalers & flippers

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Data teams

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Frequently asked questions

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

Public records associated with AMAC PROPERTIES LLC show activity in Single Family Residential across Columbus, GA-AL.

How many properties are associated with AMAC PROPERTIES LLC?

Public records show approximately 7 properties and 7 recorded transactions associated with AMAC PROPERTIES LLC in this dataset.

Which lenders has AMAC PROPERTIES LLC worked with?

Recent recorded mortgage activity references Assets & Equity LLC, RCN Capital, ROC Capital. Full lender history is available in SFR Analytics.

How recent is AMAC PROPERTIES LLC's activity?

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

Where is AMAC PROPERTIES LLC active?

Recorded activity is concentrated in Columbus, GA-AL, 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.