SIG HOLDINGS LLC

Flipper active in Chattanooga, TN-GA. 39 acquisitions, $4.71M tracked volume, $120,805 average price, latest observed Jan 2026.

Chattanooga, TN-GAflipperorganization
26% cash3 observed lenders$120,805 avgLatest Jan 2026

Investor profile snapshot

SIG HOLDINGS LLC is a flipper real estate investor active in Chattanooga, TN-GA with 39 recorded acquisitions totaling approximately $4,711,376. Recorded purchases span 2 metros inside the same state footprint, which suggests a broader local-to-regional buy box. The most recent recorded purchase was in January 2026, so the visible activity window still looks fairly recent from a deed-record standpoint.

Recorded purchases skew toward Duplex, Single Family Residential, and Vacant Land. Average observed purchase price sits near $120,805, which reads as entry-level to lower-middle price points. Behavioral signals point to flip-oriented behavior, regular cash buying, and frequent private-lender financing within the recorded deed activity.

Observed window
January 2023 to January 2026

About 3 years of observed acquisition activity

Latest recorded purchase
January 2026

Recent enough to suggest the profile is still active

Market footprint
1 state / 2 metros

Activity appears concentrated in a narrower local market footprint

Strategy read
Flip-oriented

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

39
Transactions
38
Properties
$4.71M
Total Volume
$120,805
Average Price

Property Types

DuplexObserved
Single Family ResidentialObserved
Vacant LandObserved
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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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KiaviRFLF4Renovo Financial

Who else does Kiavi fund?

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

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Frequently asked questions

What type of real estate does SIG HOLDINGS LLC focus on?

Public records associated with SIG HOLDINGS LLC show activity in Duplex, Single Family Residential, Vacant Land across Chattanooga, TN-GA.

How many properties are associated with SIG HOLDINGS LLC?

Public records show approximately 38 properties and 39 recorded transactions associated with SIG HOLDINGS LLC in this dataset.

Which lenders has SIG HOLDINGS LLC worked with?

Recent recorded mortgage activity references Kiavi, RFLF4, Renovo Financial. Full lender history is available in SFR Analytics.

How recent is SIG HOLDINGS LLC's activity?

Records show activity from 2023 through 2026, with the most recent observed purchase recorded in January 2026.

Where is SIG HOLDINGS LLC active?

Recorded activity is concentrated in Chattanooga, TN-GA, with footprint across 1 state and 2 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.