SKG NATIONAL LLC

Cash-heavy investor in Savannah, GA. 12 acquisitions, $3.10M tracked volume, $258,069 average price, latest observed Sep 2023.

Savannah, GAbuy-and-holdorganization
100% cashNo observed lender$258,069 avgLatest Sep 2023

Investor profile snapshot

SKG NATIONAL LLC is a buy-and-hold real estate investor active in Savannah, GA with 12 recorded acquisitions totaling approximately $3,096,830. Recorded purchases appear concentrated in a tighter local market footprint. The most recent recorded purchase was in September 2023, so the visible activity window still looks more historical from a deed-record standpoint.

Recorded purchases skew toward Single Family Residential and Townhouse. Average observed purchase price sits near $258,069, which reads as mid-market acquisition pricing. Behavioral signals point to cash-heavy execution within the recorded deed activity.

Observed window
August 2022 to September 2023

Roughly 13 months of recorded buying activity

Latest recorded purchase
September 2023

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
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

12
Transactions
12
Properties
$3.10M
Total Volume
$258,069
Average Price

Property Types

Single Family ResidentialObserved
TownhouseObserved
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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 Savannah, 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 Savannah, GA.

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Frequently asked questions

What type of real estate does SKG NATIONAL LLC focus on?

Public records associated with SKG NATIONAL LLC show activity in Single Family Residential, Townhouse across Savannah, GA.

How many properties are associated with SKG NATIONAL LLC?

Public records show approximately 12 properties and 12 recorded transactions associated with SKG NATIONAL LLC in this dataset.

Which lenders has SKG NATIONAL LLC worked with?

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

How recent is SKG NATIONAL LLC's activity?

Records show activity from 2022 through 2023, with the most recent observed purchase recorded in September 2023.

Where is SKG NATIONAL 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.