SEASIDER FLIPPING LLC

Flipper active in Pensacola-Ferry Pass-Brent, FL. 16 acquisitions, $1.16M tracked volume, $72,731 average price, latest observed Apr 2025.

Pensacola-Ferry Pass-Brent, FLflipperorganization
63% cash3 observed lenders$72,731 avgLatest Apr 2025

SEASIDER FLIPPING LLC is a flipper real estate investor active in Pensacola-Ferry Pass-Brent, FL with 16 recorded acquisitions totaling approximately $1,163,700. Recorded purchases appear concentrated in a tighter local market footprint. The most recent recorded purchase was in April 2025, 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 $72,731, which reads as entry-level to lower-middle price points. Behavioral signals point to flip-oriented behavior, cash-heavy execution, and frequent private-lender financing within the recorded deed activity.

Observed window
July 2022 to April 2025

About 3 years of observed acquisition activity

Latest recorded purchase
April 2025

Still fairly recent, even if buying pace may be uneven

Market footprint
1 state / 1 metro

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.

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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Who else does Ballard Bob fund?

This investor uses 3 observed lenders. See borrower activity, lender market share, and verified contacts in Pensacola-Ferry Pass-Brent, FL.

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Lenders

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Wholesalers & flippers

Find active buyers for deals like this

Open the buyer profile to review acquisitions, holdings, buy box patterns, and comparable operators.

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Data teams

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Frequently asked questions

What type of real estate does SEASIDER FLIPPING LLC focus on?

Public records associated with SEASIDER FLIPPING LLC show activity in Single Family Residential, Vacant Land across Pensacola-Ferry Pass-Brent, FL.

How many properties are associated with SEASIDER FLIPPING LLC?

Public records show approximately 16 properties and 16 recorded transactions associated with SEASIDER FLIPPING LLC in this dataset.

Which lenders has SEASIDER FLIPPING LLC worked with?

Recent recorded mortgage activity references Ballard Bob, HouseMax, Kiavi. Full lender history is available in SFR Analytics.

How recent is SEASIDER FLIPPING LLC's activity?

Records show activity from 2022 through 2025, with the most recent observed purchase recorded in April 2025.

Where is SEASIDER FLIPPING LLC active?

Recorded activity is concentrated in Pensacola-Ferry Pass-Brent, FL, 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.