MIZBEES PROPERTIES LLC

New entrant active in Savannah, GA. 4 acquisitions, $499,991 tracked volume, $124,998 average price, latest observed Feb 2026.

Savannah, GAnew-entrantorganization
25% cash2 observed lenders$124,998 avgLatest Feb 2026

Investor profile snapshot

MIZBEES PROPERTIES LLC is a new-entrant real estate investor active in Savannah, GA with 4 recorded acquisitions totaling approximately $499,991. Recorded purchases appear concentrated in a tighter local market footprint. The most recent recorded purchase was in February 2026, 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 $124,998, which reads as entry-level to lower-middle price points. Behavioral signals point to a noticeable resale or short-hold component, regular cash buying, and frequent private-lender financing within the recorded deed activity.

Observed window
September 2025 to February 2026

A relatively short observed acquisition window so far

Latest recorded purchase
February 2026

Recent enough to suggest the profile is still active

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

4
Transactions
4
Properties
$499,991
Total Volume
$124,998
Average Price

Property Types

Single Family ResidentialObserved type
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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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Bedrock Mortgage FundBridge Capital

Who else does Bedrock Mortgage Fund fund?

This investor uses 2 observed lenders. See borrower activity, lender market share, and verified contacts in Savannah, GA.

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Frequently asked questions

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

Public records associated with MIZBEES PROPERTIES LLC show activity in Single Family Residential across Savannah, GA.

How many properties are associated with MIZBEES PROPERTIES LLC?

Public records show approximately 4 properties and 4 recorded transactions associated with MIZBEES PROPERTIES LLC in this dataset.

Which lenders has MIZBEES PROPERTIES LLC worked with?

Recent recorded mortgage activity references Bedrock Mortgage Fund, Bridge Capital. Full lender history is available in SFR Analytics.

How recent is MIZBEES PROPERTIES LLC's activity?

Records show activity from 2025 through 2026, with the most recent observed purchase recorded in February 2026.

Where is MIZBEES PROPERTIES LLC active?

Recorded activity is concentrated in Savannah, 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.