GEORGIA TRANSMISSION CORP

Cash-heavy investor in Georgia. 15 acquisitions, $15.9M tracked volume, $1.06M average price, latest observed Mar 2026.

Georgiamulti-entityorganization
100% cashNo observed lender$1.06M avgLatest Mar 2026

Investor profile snapshot

GEORGIA TRANSMISSION CORP is a multi-entity real estate investor active in GA with 15 recorded acquisitions totaling approximately $15,867,030. Recorded purchases span 10 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 $1,057,802, which reads as higher-priced acquisitions in this dataset. Behavioral signals point to cash-heavy execution within the recorded deed activity.

Observed window
July 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 / 10 metros

Spread across several metros inside the same state 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

15
Transactions
15
Properties
$15.9M
Total Volume
$1.06M
Average Price

Property Types

Single Family ResidentialObserved
Vacant LandObserved
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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

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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 this market.

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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 GEORGIA TRANSMISSION CORP focus on?

Public records associated with GEORGIA TRANSMISSION CORP show activity in Single Family Residential, Vacant Land across Georgia.

How many properties are associated with GEORGIA TRANSMISSION CORP?

Public records show approximately 15 properties and 15 recorded transactions associated with GEORGIA TRANSMISSION CORP in this dataset.

Which lenders has GEORGIA TRANSMISSION CORP worked with?

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

How recent is GEORGIA TRANSMISSION CORP's activity?

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

Where is GEORGIA TRANSMISSION CORP active?

Recorded activity is concentrated in Georgia, with footprint across 1 state and 10 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.